Aurametrix/dermatology_longitudinal huggingface dataset:
Dataset: 30: score computed from SMOG, FRET and FKGLT scores generated for each of 10 documents; documents regenerated to demonstrate reproducibility
Reference (2025): Todorov D, Park JY, Hing Cheung JA, Avramidou E, Gnanappiragasam D. Assessing the readability of dermatological patient information leaflets generated by ChatGPT-4 and its associated plugins. Skin Health and Disease. 2025 Jan 20:vzae015.

Evaluation of Dr. Dermatology (GPT series) — Aims of the PIL, Orientation/Introduction
Condition/subject: Most prevalent dermatological conditions in individuals aged 18 and older : acne, atopic dermatitis, alopecia, psoriasis, rosacea, squamous cell carcinoma (SCC), basal cell carcinoma (BCC), hidradenitis suppurativa, vitiligo and melanoma.  (English)
Category: Patient Education Materials and Readability Studies — Patient Education
Validity/accuracy: 0.00% (sample size: 20)
Comments: Comparison of the most common subsections in existing British Association of Dermatology patient information  leaflets (PILs) with content inclusion in patient information leaflets generated by ChatGPT plugin Dr. Dermatology: sections on cure and heritability were notably absent from most of the ChatGPT generated PILs, which tend to be of interest to patients. This  highlights the advantage of human-created PILs addressing  the specific needs and questions more effectively.

Evaluation of Dr. Dermatology (GPT series) — More about the condition, Background Information
Condition/subject: Most prevalent dermatological conditions in individuals aged 18 and older : acne, atopic dermatitis, alopecia, psoriasis, rosacea, squamous cell carcinoma (SCC), basal cell carcinoma (BCC), hidradenitis suppurativa, vitiligo and melanoma.  (English)
Category: Patient Education Materials and Readability Studies — Patient Education
Validity/accuracy: 100.00% (sample size: 20)
Comments: Comparison of the most common subsections in existing British Association of Dermatology patient information  leaflets (PILs) with content inclusion in patient information leaflets generated by ChatGPT plugin Dr. Dermatology: sections on cure and heritability were notably absent from most of the ChatGPT generated PILs, which tend to be of interest to patients. This  highlights the advantage of human-created PILs addressing  the specific needs and questions more effectively.
Dataset: 30: score computed from SMOG, FRET and FKGLT scores generated for each of 10 documents; documents regenerated to demonstrate reproducibility
Reference (2025): Todorov D, Park JY, Hing Cheung JA, Avramidou E, Gnanappiragasam D. Assessing the readability of dermatological patient information leaflets generated by ChatGPT-4 and its associated plugins. Skin Health and Disease. 2025 Jan 20:vzae015.

Evaluation of Dr. Dermatology (GPT series) — What causes the condition, Etiology
Condition/subject: Most prevalent dermatological conditions in individuals aged 18 and older : acne, atopic dermatitis, alopecia, psoriasis, rosacea, squamous cell carcinoma (SCC), basal cell carcinoma (BCC), hidradenitis suppurativa, vitiligo and melanoma.  (English)
Category: Patient Education Materials and Readability Studies — Patient Education
Validity/accuracy: 100.00% (sample size: 20)
Comments: Comparison of the most common subsections in existing British Association of Dermatology patient information  leaflets (PILs) with content inclusion in patient information leaflets generated by ChatGPT plugin Dr. Dermatology: sections on cure and heritability were notably absent from most of the ChatGPT generated PILs, which tend to be of interest to patients. This  highlights the advantage of human-created PILs addressing  the specific needs and questions more effectively.

Evaluation of Dr. Dermatology (GPT series) — Is the condition hereditary?, Genetic/Inheritance Factors
Condition/subject: Most prevalent dermatological conditions in individuals aged 18 and older : acne, atopic dermatitis, alopecia, psoriasis, rosacea, squamous cell carcinoma (SCC), basal cell carcinoma (BCC), hidradenitis suppurativa, vitiligo and melanoma.  (English)
Category: Patient Education Materials and Readability Studies — Patient Education
Validity/accuracy: 30.00% (sample size: 20)
Comments: Comparison of the most common subsections in existing British Association of Dermatology patient information  leaflets (PILs) with content inclusion in patient information leaflets generated by ChatGPT plugin Dr. Dermatology: sections on cure and heritability were notably absent from most of the ChatGPT generated PILs, which tend to be of interest to patients. This  highlights the advantage of human-created PILs addressing  the specific needs and questions more effectively.
Dataset: 30: score computed from SMOG, FRET and FKGLT scores generated for each of 10 documents; documents regenerated to demonstrate reproducibility
Reference (2025): Todorov D, Park JY, Hing Cheung JA, Avramidou E, Gnanappiragasam D. Assessing the readability of dermatological patient information leaflets generated by ChatGPT-4 and its associated plugins. Skin Health and Disease. 2025 Jan 20:vzae015.

Evaluation of Dr. Dermatology (GPT series) — What does the condition look like?, Visual Description
Condition/subject: Most prevalent dermatological conditions in individuals aged 18 and older : acne, atopic dermatitis, alopecia, psoriasis, rosacea, squamous cell carcinoma (SCC), basal cell carcinoma (BCC), hidradenitis suppurativa, vitiligo and melanoma.  (English)
Category: Patient Education Materials and Readability Studies — Patient Education
Validity/accuracy: 100.00% (sample size: 20)
Comments: Comparison of the most common subsections in existing British Association of Dermatology patient information  leaflets (PILs) with content inclusion in patient information leaflets generated by ChatGPT plugin Dr. Dermatology: sections on cure and heritability were notably absent from most of the ChatGPT generated PILs, which tend to be of interest to patients. This  highlights the advantage of human-created PILs addressing  the specific needs and questions more effectively.

Evaluation of Dr. Dermatology (GPT series) — What does the condition feel like?/Symptoms, Symptomatology
Condition/subject: Most prevalent dermatological conditions in individuals aged 18 and older : acne, atopic dermatitis, alopecia, psoriasis, rosacea, squamous cell carcinoma (SCC), basal cell carcinoma (BCC), hidradenitis suppurativa, vitiligo and melanoma.  (English)
Category: Patient Education Materials and Readability Studies — Patient Education
Validity/accuracy: 100.00% (sample size: 20)
Comments: Comparison of the most common subsections in existing British Association of Dermatology patient information  leaflets (PILs) with content inclusion in patient information leaflets generated by ChatGPT plugin Dr. Dermatology: sections on cure and heritability were notably absent from most of the ChatGPT generated PILs, which tend to be of interest to patients. This  highlights the advantage of human-created PILs addressing  the specific needs and questions more effectively.
Dataset: 30: score computed from SMOG, FRET and FKGLT scores generated for each of 10 documents; documents regenerated to demonstrate reproducibility
Reference (2025): Todorov D, Park JY, Hing Cheung JA, Avramidou E, Gnanappiragasam D. Assessing the readability of dermatological patient information leaflets generated by ChatGPT-4 and its associated plugins. Skin Health and Disease. 2025 Jan 20:vzae015.

Evaluation of Dr. Dermatology (GPT series) — How is the condition diagnosed?, Diagnostic Process
Condition/subject: Most prevalent dermatological conditions in individuals aged 18 and older : acne, atopic dermatitis, alopecia, psoriasis, rosacea, squamous cell carcinoma (SCC), basal cell carcinoma (BCC), hidradenitis suppurativa, vitiligo and melanoma.  (English)
Category: Patient Education Materials and Readability Studies — Patient Education
Validity/accuracy: 80.00% (sample size: 20)
Comments: Comparison of the most common subsections in existing British Association of Dermatology patient information  leaflets (PILs) with content inclusion in patient information leaflets generated by ChatGPT plugin Dr. Dermatology: sections on cure and heritability were notably absent from most of the ChatGPT generated PILs, which tend to be of interest to patients. This  highlights the advantage of human-created PILs addressing  the specific needs and questions more effectively.

Evaluation of Dr. Dermatology (GPT series) — Can the condition be cured?, Prognosis
Condition/subject: Most prevalent dermatological conditions in individuals aged 18 and older : acne, atopic dermatitis, alopecia, psoriasis, rosacea, squamous cell carcinoma (SCC), basal cell carcinoma (BCC), hidradenitis suppurativa, vitiligo and melanoma.  (English)
Category: Patient Education Materials and Readability Studies — Patient Education
Validity/accuracy: 40.00% (sample size: 20)
Comments: Comparison of the most common subsections in existing British Association of Dermatology patient information  leaflets (PILs) with content inclusion in patient information leaflets generated by ChatGPT plugin Dr. Dermatology: sections on cure and heritability were notably absent from most of the ChatGPT generated PILs, which tend to be of interest to patients. This  highlights the advantage of human-created PILs addressing  the specific needs and questions more effectively.
Dataset: 30: score computed from SMOG, FRET and FKGLT scores generated for each of 10 documents; documents regenerated to demonstrate reproducibility
Reference (2025): Todorov D, Park JY, Hing Cheung JA, Avramidou E, Gnanappiragasam D. Assessing the readability of dermatological patient information leaflets generated by ChatGPT-4 and its associated plugins. Skin Health and Disease. 2025 Jan 20:vzae015.

Evaluation of Dr. Dermatology (GPT series) — What is the treatment?, Treatment Options
Condition/subject: Most prevalent dermatological conditions in individuals aged 18 and older : acne, atopic dermatitis, alopecia, psoriasis, rosacea, squamous cell carcinoma (SCC), basal cell carcinoma (BCC), hidradenitis suppurativa, vitiligo and melanoma.  (English)
Category: Patient Education Materials and Readability Studies — Patient Education
Validity/accuracy: 100.00% (sample size: 20)
Comments: Comparison of the most common subsections in existing British Association of Dermatology patient information  leaflets (PILs) with content inclusion in patient information leaflets generated by ChatGPT plugin Dr. Dermatology: sections on cure and heritability were notably absent from most of the ChatGPT generated PILs, which tend to be of interest to patients. This  highlights the advantage of human-created PILs addressing  the specific needs and questions more effectively.

Evaluation of Dr. Dermatology (GPT series) — Self-care advice, Patient Empowerment/Self-Help
Condition/subject: Most prevalent dermatological conditions in individuals aged 18 and older : acne, atopic dermatitis, alopecia, psoriasis, rosacea, squamous cell carcinoma (SCC), basal cell carcinoma (BCC), hidradenitis suppurativa, vitiligo and melanoma.  (English)
Category: Patient Education Materials and Readability Studies — Patient Education
Validity/accuracy: 100.00% (sample size: 20)
Comments: Comparison of the most common subsections in existing British Association of Dermatology patient information  leaflets (PILs) with content inclusion in patient information leaflets generated by ChatGPT plugin Dr. Dermatology: sections on cure and heritability were notably absent from most of the ChatGPT generated PILs, which tend to be of interest to patients. This  highlights the advantage of human-created PILs addressing  the specific needs and questions more effectively.
Dataset: 30: score computed from SMOG, FRET and FKGLT scores generated for each of 10 documents; documents regenerated to demonstrate reproducibility
Reference (2025): Todorov D, Park JY, Hing Cheung JA, Avramidou E, Gnanappiragasam D. Assessing the readability of dermatological patient information leaflets generated by ChatGPT-4 and its associated plugins. Skin Health and Disease. 2025 Jan 20:vzae015.

Evaluation of Dr. Dermatology (GPT series) — Additional information for the patient, Supplementary Resources
Condition/subject: Most prevalent dermatological conditions in individuals aged 18 and older : acne, atopic dermatitis, alopecia, psoriasis, rosacea, squamous cell carcinoma (SCC), basal cell carcinoma (BCC), hidradenitis suppurativa, vitiligo and melanoma.  (English)
Category: Patient Education Materials and Readability Studies — Patient Education
Validity/accuracy: 0.00% (sample size: 20)
Comments: Comparison of the most common subsections in existing British Association of Dermatology patient information  leaflets (PILs) with content inclusion in patient information leaflets generated by ChatGPT plugin Dr. Dermatology: sections on cure and heritability were notably absent from most of the ChatGPT generated PILs, which tend to be of interest to patients. This  highlights the advantage of human-created PILs addressing  the specific needs and questions more effectively.

Evaluation of Dermatology Adviser (GPT series) — Aims of the PIL, Orientation/Introduction
Condition/subject: Most prevalent dermatological conditions in individuals aged 18 and older : acne, atopic dermatitis, alopecia, psoriasis, rosacea, squamous cell carcinoma (SCC), basal cell carcinoma (BCC), hidradenitis suppurativa, vitiligo and melanoma.  (English)
Category: Patient Education Materials and Readability Studies — Patient Education
Validity/accuracy: 0.00% (sample size: 20)
Comments: Comparison of the most common subsections in existing British Association of Dermatology patient information  leaflets (PILs) with content inclusion in patient information leaflets generated by ChatGPT plugin "Dermatology Adviser": sections on cure and heritability were notably absent from most of the ChatGPT generated PILs, which tend to be of interest to patients. This  highlights the advantage of human-created PILs addressing  the specific needs and questions more effectively.
Dataset: 30: score computed from SMOG, FRET and FKGLT scores generated for each of 10 documents; documents regenerated to demonstrate reproducibility
Reference (2025): Todorov D, Park JY, Hing Cheung JA, Avramidou E, Gnanappiragasam D. Assessing the readability of dermatological patient information leaflets generated by ChatGPT-4 and its associated plugins. Skin Health and Disease. 2025 Jan 20:vzae015.

Evaluation of Dermatology Adviser (GPT series) — More about the condition, Background Information
Condition/subject: Most prevalent dermatological conditions in individuals aged 18 and older : acne, atopic dermatitis, alopecia, psoriasis, rosacea, squamous cell carcinoma (SCC), basal cell carcinoma (BCC), hidradenitis suppurativa, vitiligo and melanoma.  (English)
Category: Patient Education Materials and Readability Studies — Patient Education
Validity/accuracy: 100.00% (sample size: 20)
Comments: Comparison of the most common subsections in existing British Association of Dermatology patient information  leaflets (PILs) with content inclusion in patient information leaflets generated by ChatGPT plugin "Dermatology Adviser": sections on cure and heritability were notably absent from most of the ChatGPT generated PILs, which tend to be of interest to patients. This  highlights the advantage of human-created PILs addressing  the specific needs and questions more effectively.

Evaluation of Dermatology Adviser (GPT series) — What causes the condition, Etiology
Condition/subject: Most prevalent dermatological conditions in individuals aged 18 and older : acne, atopic dermatitis, alopecia, psoriasis, rosacea, squamous cell carcinoma (SCC), basal cell carcinoma (BCC), hidradenitis suppurativa, vitiligo and melanoma.  (English)
Category: Patient Education Materials and Readability Studies — Patient Education
Validity/accuracy: 100.00% (sample size: 20)
Comments: Comparison of the most common subsections in existing British Association of Dermatology patient information  leaflets (PILs) with content inclusion in patient information leaflets generated by ChatGPT plugin "Dermatology Adviser": sections on cure and heritability were notably absent from most of the ChatGPT generated PILs, which tend to be of interest to patients. This  highlights the advantage of human-created PILs addressing  the specific needs and questions more effectively.
Dataset: 30: score computed from SMOG, FRET and FKGLT scores generated for each of 10 documents; documents regenerated to demonstrate reproducibility
Reference (2025): Todorov D, Park JY, Hing Cheung JA, Avramidou E, Gnanappiragasam D. Assessing the readability of dermatological patient information leaflets generated by ChatGPT-4 and its associated plugins. Skin Health and Disease. 2025 Jan 20:vzae015.

Evaluation of Dermatology Adviser (GPT series) — Is the condition hereditary?, Genetic/Inheritance Factors
Condition/subject: Most prevalent dermatological conditions in individuals aged 18 and older : acne, atopic dermatitis, alopecia, psoriasis, rosacea, squamous cell carcinoma (SCC), basal cell carcinoma (BCC), hidradenitis suppurativa, vitiligo and melanoma.  (English)
Category: Patient Education Materials and Readability Studies — Patient Education
Validity/accuracy: 50.00% (sample size: 20)
Comments: Comparison of the most common subsections in existing British Association of Dermatology patient information  leaflets (PILs) with content inclusion in patient information leaflets generated by ChatGPT plugin "Dermatology Adviser": sections on cure and heritability were notably absent from most of the ChatGPT generated PILs, which tend to be of interest to patients. This  highlights the advantage of human-created PILs addressing  the specific needs and questions more effectively.

Evaluation of Dermatology Adviser (GPT series) — What does the condition look like?, Visual Description
Condition/subject: Most prevalent dermatological conditions in individuals aged 18 and older : acne, atopic dermatitis, alopecia, psoriasis, rosacea, squamous cell carcinoma (SCC), basal cell carcinoma (BCC), hidradenitis suppurativa, vitiligo and melanoma.  (English)
Category: Patient Education Materials and Readability Studies — Patient Education
Validity/accuracy: 100.00% (sample size: 20)
Comments: Comparison of the most common subsections in existing British Association of Dermatology patient information  leaflets (PILs) with content inclusion in patient information leaflets generated by ChatGPT plugin "Dermatology Adviser": sections on cure and heritability were notably absent from most of the ChatGPT generated PILs, which tend to be of interest to patients. This  highlights the advantage of human-created PILs addressing  the specific needs and questions more effectively.
Dataset: 30: score computed from SMOG, FRET and FKGLT scores generated for each of 10 documents; documents regenerated to demonstrate reproducibility
Reference (2025): Todorov D, Park JY, Hing Cheung JA, Avramidou E, Gnanappiragasam D. Assessing the readability of dermatological patient information leaflets generated by ChatGPT-4 and its associated plugins. Skin Health and Disease. 2025 Jan 20:vzae015.

Evaluation of Dermatology Adviser (GPT series) — What does the condition feel like?/Symptoms, Symptomatology
Condition/subject: Most prevalent dermatological conditions in individuals aged 18 and older : acne, atopic dermatitis, alopecia, psoriasis, rosacea, squamous cell carcinoma (SCC), basal cell carcinoma (BCC), hidradenitis suppurativa, vitiligo and melanoma.  (English)
Category: Patient Education Materials and Readability Studies — Patient Education
Validity/accuracy: 90.00% (sample size: 20)
Comments: Comparison of the most common subsections in existing British Association of Dermatology patient information  leaflets (PILs) with content inclusion in patient information leaflets generated by ChatGPT plugin "Dermatology Adviser": sections on cure and heritability were notably absent from most of the ChatGPT generated PILs, which tend to be of interest to patients. This  highlights the advantage of human-created PILs addressing  the specific needs and questions more effectively.

Evaluation of Dermatology Adviser (GPT series) — How is the condition diagnosed?, Diagnostic Process
Condition/subject: Most prevalent dermatological conditions in individuals aged 18 and older : acne, atopic dermatitis, alopecia, psoriasis, rosacea, squamous cell carcinoma (SCC), basal cell carcinoma (BCC), hidradenitis suppurativa, vitiligo and melanoma.  (English)
Category: Patient Education Materials and Readability Studies — Patient Education
Validity/accuracy: 80.00% (sample size: 20)
Comments: Comparison of the most common subsections in existing British Association of Dermatology patient information  leaflets (PILs) with content inclusion in patient information leaflets generated by ChatGPT plugin "Dermatology Adviser": sections on cure and heritability were notably absent from most of the ChatGPT generated PILs, which tend to be of interest to patients. This  highlights the advantage of human-created PILs addressing  the specific needs and questions more effectively.
Dataset: 30: score computed from SMOG, FRET and FKGLT scores generated for each of 10 documents; documents regenerated to demonstrate reproducibility
Reference (2025): Todorov D, Park JY, Hing Cheung JA, Avramidou E, Gnanappiragasam D. Assessing the readability of dermatological patient information leaflets generated by ChatGPT-4 and its associated plugins. Skin Health and Disease. 2025 Jan 20:vzae015.

Evaluation of Dermatology Adviser (GPT series) — Can the condition be cured?, Prognosis
Condition/subject: Most prevalent dermatological conditions in individuals aged 18 and older : acne, atopic dermatitis, alopecia, psoriasis, rosacea, squamous cell carcinoma (SCC), basal cell carcinoma (BCC), hidradenitis suppurativa, vitiligo and melanoma.  (English)
Category: Patient Education Materials and Readability Studies — Patient Education
Validity/accuracy: 30.00% (sample size: 20)
Comments: Comparison of the most common subsections in existing British Association of Dermatology patient information  leaflets (PILs) with content inclusion in patient information leaflets generated by ChatGPT plugin "Dermatology Adviser": sections on cure and heritability were notably absent from most of the ChatGPT generated PILs, which tend to be of interest to patients. This  highlights the advantage of human-created PILs addressing  the specific needs and questions more effectively.

Evaluation of Dermatology Adviser (GPT series) — What is the treatment?, Treatment Options
Condition/subject: Most prevalent dermatological conditions in individuals aged 18 and older : acne, atopic dermatitis, alopecia, psoriasis, rosacea, squamous cell carcinoma (SCC), basal cell carcinoma (BCC), hidradenitis suppurativa, vitiligo and melanoma.  (English)
Category: Patient Education Materials and Readability Studies — Patient Education
Validity/accuracy: 100.00% (sample size: 20)
Comments: Comparison of the most common subsections in existing British Association of Dermatology patient information  leaflets (PILs) with content inclusion in patient information leaflets generated by ChatGPT plugin "Dermatology Adviser": sections on cure and heritability were notably absent from most of the ChatGPT generated PILs, which tend to be of interest to patients. This  highlights the advantage of human-created PILs addressing  the specific needs and questions more effectively.
Dataset: 30: score computed from SMOG, FRET and FKGLT scores generated for each of 10 documents; documents regenerated to demonstrate reproducibility
Reference (2025): Todorov D, Park JY, Hing Cheung JA, Avramidou E, Gnanappiragasam D. Assessing the readability of dermatological patient information leaflets generated by ChatGPT-4 and its associated plugins. Skin Health and Disease. 2025 Jan 20:vzae015.

Evaluation of Dermatology Adviser (GPT series) — Self-care advice, Patient Empowerment/Self-Help
Condition/subject: Most prevalent dermatological conditions in individuals aged 18 and older : acne, atopic dermatitis, alopecia, psoriasis, rosacea, squamous cell carcinoma (SCC), basal cell carcinoma (BCC), hidradenitis suppurativa, vitiligo and melanoma.  (English)
Category: Patient Education Materials and Readability Studies — Patient Education
Validity/accuracy: 100.00% (sample size: 20)
Comments: Comparison of the most common subsections in existing British Association of Dermatology patient information  leaflets (PILs) with content inclusion in patient information leaflets generated by ChatGPT plugin "Dermatology Adviser": sections on cure and heritability were notably absent from most of the ChatGPT generated PILs, which tend to be of interest to patients. This  highlights the advantage of human-created PILs addressing  the specific needs and questions more effectively.

Evaluation of Dermatology Adviser (GPT series) — Additional information for the patient, Supplementary Resources
Condition/subject: Most prevalent dermatological conditions in individuals aged 18 and older : acne, atopic dermatitis, alopecia, psoriasis, rosacea, squamous cell carcinoma (SCC), basal cell carcinoma (BCC), hidradenitis suppurativa, vitiligo and melanoma.  (English)
Category: Patient Education Materials and Readability Studies — Patient Education
Validity/accuracy: 100.00% (sample size: 20)
Comments: Comparison of the most common subsections in existing British Association of Dermatology patient information  leaflets (PILs) with content inclusion in patient information leaflets generated by ChatGPT plugin "Dermatology Adviser": sections on cure and heritability were notably absent from most of the ChatGPT generated PILs, which tend to be of interest to patients. This  highlights the advantage of human-created PILs addressing  the specific needs and questions more effectively.
Dataset: 30: score computed from SMOG, FRET and FKGLT scores generated for each of 10 documents; documents regenerated to demonstrate reproducibility
Reference (2025): Todorov D, Park JY, Hing Cheung JA, Avramidou E, Gnanappiragasam D. Assessing the readability of dermatological patient information leaflets generated by ChatGPT-4 and its associated plugins. Skin Health and Disease. 2025 Jan 20:vzae015.

Evaluation of Chat with a Dermatologist (GPT series) — Additional information for the patient, Supplementary Resources
Condition/subject: Most prevalent dermatological conditions in individuals aged 18 and older : acne, atopic dermatitis, alopecia, psoriasis, rosacea, squamous cell carcinoma (SCC), basal cell carcinoma (BCC), hidradenitis suppurativa, vitiligo and melanoma.  (English)
Category: Patient Education Materials and Readability Studies — Patient Education
Validity/accuracy: 0.00% (sample size: 20)
Comments: Comparison of the most common subsections in existing British Association of Dermatology patient information  leaflets (PILs) with content inclusion in patient information leaflets generated by ChatGPT plugin "Chat with a Dermatologist": sections on cure and heritability were notably absent from most of the ChatGPT generated PILs, which tend to be of interest to patients. This  highlights the advantage of human-created PILs addressing  the specific needs and questions more effectively.

Evaluation of Chat with a Dermatologist (GPT series) — Aims of the PIL, Orientation/Introduction
Condition/subject: Most prevalent dermatological conditions in individuals aged 18 and older : acne, atopic dermatitis, alopecia, psoriasis, rosacea, squamous cell carcinoma (SCC), basal cell carcinoma (BCC), hidradenitis suppurativa, vitiligo and melanoma.  (English)
Category: Patient Education Materials and Readability Studies — Patient Education
Validity/accuracy: 100.00% (sample size: 20)
Comments: Comparison of the most common subsections in existing British Association of Dermatology patient information  leaflets (PILs) with content inclusion in patient information leaflets generated by ChatGPT plugin "Chat with a Dermatologist": sections on cure and heritability were notably absent from most of the ChatGPT generated PILs, which tend to be of interest to patients. This  highlights the advantage of human-created PILs addressing  the specific needs and questions more effectively.
Dataset: 30: score computed from SMOG, FRET and FKGLT scores generated for each of 10 documents; documents regenerated to demonstrate reproducibility
Reference (2025): Todorov D, Park JY, Hing Cheung JA, Avramidou E, Gnanappiragasam D. Assessing the readability of dermatological patient information leaflets generated by ChatGPT-4 and its associated plugins. Skin Health and Disease. 2025 Jan 20:vzae015.

Evaluation of Chat with a Dermatologist (GPT series) — More about the condition, Background Information
Condition/subject: Most prevalent dermatological conditions in individuals aged 18 and older : acne, atopic dermatitis, alopecia, psoriasis, rosacea, squamous cell carcinoma (SCC), basal cell carcinoma (BCC), hidradenitis suppurativa, vitiligo and melanoma.  (English)
Category: Patient Education Materials and Readability Studies — Patient Education
Validity/accuracy: 100.00% (sample size: 20)
Comments: Comparison of the most common subsections in existing British Association of Dermatology patient information  leaflets (PILs) with content inclusion in patient information leaflets generated by ChatGPT plugin "Chat with a Dermatologist": sections on cure and heritability were notably absent from most of the ChatGPT generated PILs, which tend to be of interest to patients. This  highlights the advantage of human-created PILs addressing  the specific needs and questions more effectively.

Evaluation of Chat with a Dermatologist (GPT series) — What causes the condition, Etiology
Condition/subject: Most prevalent dermatological conditions in individuals aged 18 and older : acne, atopic dermatitis, alopecia, psoriasis, rosacea, squamous cell carcinoma (SCC), basal cell carcinoma (BCC), hidradenitis suppurativa, vitiligo and melanoma.  (English)
Category: Patient Education Materials and Readability Studies — Patient Education
Validity/accuracy: 10.00% (sample size: 20)
Comments: Comparison of the most common subsections in existing British Association of Dermatology patient information  leaflets (PILs) with content inclusion in patient information leaflets generated by ChatGPT plugin "Chat with a Dermatologist": sections on cure and heritability were notably absent from most of the ChatGPT generated PILs, which tend to be of interest to patients. This  highlights the advantage of human-created PILs addressing  the specific needs and questions more effectively.
Dataset: 30: score computed from SMOG, FRET and FKGLT scores generated for each of 10 documents; documents regenerated to demonstrate reproducibility
Reference (2025): Todorov D, Park JY, Hing Cheung JA, Avramidou E, Gnanappiragasam D. Assessing the readability of dermatological patient information leaflets generated by ChatGPT-4 and its associated plugins. Skin Health and Disease. 2025 Jan 20:vzae015.

Evaluation of Chat with a Dermatologist (GPT series) — Is the condition hereditary?, Genetic/Inheritance Factors
Condition/subject: Most prevalent dermatological conditions in individuals aged 18 and older : acne, atopic dermatitis, alopecia, psoriasis, rosacea, squamous cell carcinoma (SCC), basal cell carcinoma (BCC), hidradenitis suppurativa, vitiligo and melanoma.  (English)
Category: Patient Education Materials and Readability Studies — Patient Education
Validity/accuracy: 100.00% (sample size: 20)
Comments: Comparison of the most common subsections in existing British Association of Dermatology patient information  leaflets (PILs) with content inclusion in patient information leaflets generated by ChatGPT plugin "Chat with a Dermatologist": sections on cure and heritability were notably absent from most of the ChatGPT generated PILs, which tend to be of interest to patients. This  highlights the advantage of human-created PILs addressing  the specific needs and questions more effectively.

Evaluation of Chat with a Dermatologist (GPT series) — What does the condition look like?, Visual Description
Condition/subject: Most prevalent dermatological conditions in individuals aged 18 and older : acne, atopic dermatitis, alopecia, psoriasis, rosacea, squamous cell carcinoma (SCC), basal cell carcinoma (BCC), hidradenitis suppurativa, vitiligo and melanoma.  (English)
Category: Patient Education Materials and Readability Studies — Patient Education
Validity/accuracy: 100.00% (sample size: 20)
Comments: Comparison of the most common subsections in existing British Association of Dermatology patient information  leaflets (PILs) with content inclusion in patient information leaflets generated by ChatGPT plugin "Chat with a Dermatologist": sections on cure and heritability were notably absent from most of the ChatGPT generated PILs, which tend to be of interest to patients. This  highlights the advantage of human-created PILs addressing  the specific needs and questions more effectively.
Dataset: 30: score computed from SMOG, FRET and FKGLT scores generated for each of 10 documents; documents regenerated to demonstrate reproducibility
Reference (2025): Todorov D, Park JY, Hing Cheung JA, Avramidou E, Gnanappiragasam D. Assessing the readability of dermatological patient information leaflets generated by ChatGPT-4 and its associated plugins. Skin Health and Disease. 2025 Jan 20:vzae015.

Evaluation of Chat with a Dermatologist (GPT series) — What does the condition feel like?/Symptoms, Symptomatology
Condition/subject: Most prevalent dermatological conditions in individuals aged 18 and older : acne, atopic dermatitis, alopecia, psoriasis, rosacea, squamous cell carcinoma (SCC), basal cell carcinoma (BCC), hidradenitis suppurativa, vitiligo and melanoma.  (English)
Category: Patient Education Materials and Readability Studies — Patient Education
Validity/accuracy: 70.00% (sample size: 20)
Comments: Comparison of the most common subsections in existing British Association of Dermatology patient information  leaflets (PILs) with content inclusion in patient information leaflets generated by ChatGPT plugin "Chat with a Dermatologist": sections on cure and heritability were notably absent from most of the ChatGPT generated PILs, which tend to be of interest to patients. This  highlights the advantage of human-created PILs addressing  the specific needs and questions more effectively.

Evaluation of Chat with a Dermatologist (GPT series) — How is the condition diagnosed?, Diagnostic Process
Condition/subject: Most prevalent dermatological conditions in individuals aged 18 and older : acne, atopic dermatitis, alopecia, psoriasis, rosacea, squamous cell carcinoma (SCC), basal cell carcinoma (BCC), hidradenitis suppurativa, vitiligo and melanoma.  (English)
Category: Patient Education Materials and Readability Studies — Patient Education
Validity/accuracy: 40.00% (sample size: 20)
Comments: Comparison of the most common subsections in existing British Association of Dermatology patient information  leaflets (PILs) with content inclusion in patient information leaflets generated by ChatGPT plugin "Chat with a Dermatologist": sections on cure and heritability were notably absent from most of the ChatGPT generated PILs, which tend to be of interest to patients. This  highlights the advantage of human-created PILs addressing  the specific needs and questions more effectively.
Dataset: 30: score computed from SMOG, FRET and FKGLT scores generated for each of 10 documents; documents regenerated to demonstrate reproducibility
Reference (2025): Todorov D, Park JY, Hing Cheung JA, Avramidou E, Gnanappiragasam D. Assessing the readability of dermatological patient information leaflets generated by ChatGPT-4 and its associated plugins. Skin Health and Disease. 2025 Jan 20:vzae015.

Evaluation of Chat with a Dermatologist (GPT series) — Can the condition be cured?, Prognosis
Condition/subject: Most prevalent dermatological conditions in individuals aged 18 and older : acne, atopic dermatitis, alopecia, psoriasis, rosacea, squamous cell carcinoma (SCC), basal cell carcinoma (BCC), hidradenitis suppurativa, vitiligo and melanoma.  (English)
Category: Patient Education Materials and Readability Studies — Patient Education
Validity/accuracy: 100.00% (sample size: 20)
Comments: Comparison of the most common subsections in existing British Association of Dermatology patient information  leaflets (PILs) with content inclusion in patient information leaflets generated by ChatGPT plugin "Chat with a Dermatologist": sections on cure and heritability were notably absent from most of the ChatGPT generated PILs, which tend to be of interest to patients. This  highlights the advantage of human-created PILs addressing  the specific needs and questions more effectively.

Evaluation of Chat with a Dermatologist (GPT series) — What is the treatment?, Treatment Options
Condition/subject: Most prevalent dermatological conditions in individuals aged 18 and older : acne, atopic dermatitis, alopecia, psoriasis, rosacea, squamous cell carcinoma (SCC), basal cell carcinoma (BCC), hidradenitis suppurativa, vitiligo and melanoma.  (English)
Category: Patient Education Materials and Readability Studies — Patient Education
Validity/accuracy: 100.00% (sample size: 20)
Comments: Comparison of the most common subsections in existing British Association of Dermatology patient information  leaflets (PILs) with content inclusion in patient information leaflets generated by ChatGPT plugin "Chat with a Dermatologist": sections on cure and heritability were notably absent from most of the ChatGPT generated PILs, which tend to be of interest to patients. This  highlights the advantage of human-created PILs addressing  the specific needs and questions more effectively.
Dataset: 30: score computed from SMOG, FRET and FKGLT scores generated for each of 10 documents; documents regenerated to demonstrate reproducibility
Reference (2025): Todorov D, Park JY, Hing Cheung JA, Avramidou E, Gnanappiragasam D. Assessing the readability of dermatological patient information leaflets generated by ChatGPT-4 and its associated plugins. Skin Health and Disease. 2025 Jan 20:vzae015.

Evaluation of Chat with a Dermatologist (GPT series) — Self-care advice, Patient Empowerment/Self-Help
Condition/subject: Most prevalent dermatological conditions in individuals aged 18 and older : acne, atopic dermatitis, alopecia, psoriasis, rosacea, squamous cell carcinoma (SCC), basal cell carcinoma (BCC), hidradenitis suppurativa, vitiligo and melanoma.  (English)
Category: Patient Education Materials and Readability Studies — Patient Education
Validity/accuracy: 0.00% (sample size: 20)
Comments: Comparison of the most common subsections in existing British Association of Dermatology patient information  leaflets (PILs) with content inclusion in patient information leaflets generated by ChatGPT plugin "Chat with a Dermatologist": sections on cure and heritability were notably absent from most of the ChatGPT generated PILs, which tend to be of interest to patients. This  highlights the advantage of human-created PILs addressing  the specific needs and questions more effectively.

Evaluation of Chat with a Dermatologist (GPT series) — Additional information for the patient, Supplementary Resources
Condition/subject: Most prevalent dermatological conditions in individuals aged 18 and older: acne, atopic dermatitis, alopecia, psoriasis, rosacea, squamous cell carcinoma (SCC), basal cell carcinoma (BCC), hidradenitis suppurativa, vitiligo and melanoma.  (English)
Category: Patient Education Materials and Readability Studies — Patient Education
Validity/accuracy: 0.00% (sample size: 20)
Comments: Comparison of the most common subsections in existing British Association of Dermatology patient information  leaflets (PILs) with content inclusion in patient information leaflets generated by ChatGPT plugin "Chat with a Dermatologist": sections on cure and heritability were notably absent from most of the ChatGPT generated PILs, which tend to be of interest to patients. This  highlights the advantage of human-created PILs addressing  the specific needs and questions more effectively.
Dataset: 30: score computed from SMOG, FRET and FKGLT scores generated for each of 10 documents; documents regenerated to demonstrate reproducibility
Reference (2025): Todorov D, Park JY, Hing Cheung JA, Avramidou E, Gnanappiragasam D. Assessing the readability of dermatological patient information leaflets generated by ChatGPT-4 and its associated plugins. Skin Health and Disease. 2025 Jan 20:vzae015.

Evaluation of ChatGPT-4 (GPT series) — Additional information for the patient, Supplementary Resources
Condition/subject: Most prevalent dermatological conditions in individuals aged 18 and older : acne, atopic dermatitis, alopecia, psoriasis, rosacea, squamous cell carcinoma (SCC), basal cell carcinoma (BCC), hidradenitis suppurativa, vitiligo and melanoma.  (English)
Category: Patient Education Materials and Readability Studies — Patient Education
Validity/accuracy: 0.00% (sample size: 20)
Comments: Comparison of the most common subsections in existing British Association of Dermatology patient information  leaflets (PILs) with content inclusion in patient information leaflets generated by ChatGPT-4: sections on cure and heritability were notably absent from most of the ChatGPT generated PILs, which tend to be of interest to patients. This  highlights the advantage of human-created PILs addressing  the specific needs and questions more effectively.

Evaluation of ChatGPT-4 (GPT series) — Aims of the PIL, Orientation/Introduction
Condition/subject: Most prevalent dermatological conditions in individuals aged 18 and older : acne, atopic dermatitis, alopecia, psoriasis, rosacea, squamous cell carcinoma (SCC), basal cell carcinoma (BCC), hidradenitis suppurativa, vitiligo and melanoma.  (English)
Category: Patient Education Materials and Readability Studies — Patient Education
Validity/accuracy: 100.00% (sample size: 20)
Comments: Comparison of the most common subsections in existing British Association of Dermatology patient information  leaflets (PILs) with content inclusion in patient information leaflets generated by ChatGPT-4: sections on cure and heritability were notably absent from most of the ChatGPT generated PILs, which tend to be of interest to patients. This  highlights the advantage of human-created PILs addressing  the specific needs and questions more effectively.
Dataset: 30: score computed from SMOG, FRET and FKGLT scores generated for each of 10 documents; documents regenerated to demonstrate reproducibility
Reference (2025): Todorov D, Park JY, Hing Cheung JA, Avramidou E, Gnanappiragasam D. Assessing the readability of dermatological patient information leaflets generated by ChatGPT-4 and its associated plugins. Skin Health and Disease. 2025 Jan 20:vzae015.

Evaluation of ChatGPT-4 (GPT series) — More about the condition, Background Information
Condition/subject: Most prevalent dermatological conditions in individuals aged 18 and older : acne, atopic dermatitis, alopecia, psoriasis, rosacea, squamous cell carcinoma (SCC), basal cell carcinoma (BCC), hidradenitis suppurativa, vitiligo and melanoma.  (English)
Category: Patient Education Materials and Readability Studies — Patient Education
Validity/accuracy: 100.00% (sample size: 20)
Comments: Comparison of the most common subsections in existing British Association of Dermatology patient information  leaflets (PILs) with content inclusion in patient information leaflets generated by ChatGPT-4: sections on cure and heritability were notably absent from most of the ChatGPT generated PILs, which tend to be of interest to patients. This  highlights the advantage of human-created PILs addressing  the specific needs and questions more effectively.

Evaluation of ChatGPT-4 (GPT series) — What causes the condition, Etiology
Condition/subject: Most prevalent dermatological conditions in individuals aged 18 and older : acne, atopic dermatitis, alopecia, psoriasis, rosacea, squamous cell carcinoma (SCC), basal cell carcinoma (BCC), hidradenitis suppurativa, vitiligo and melanoma.  (English)
Category: Patient Education Materials and Readability Studies — Patient Education
Validity/accuracy: 60.00% (sample size: 20)
Comments: Comparison of the most common subsections in existing British Association of Dermatology patient information  leaflets (PILs) with content inclusion in patient information leaflets generated by ChatGPT-4: sections on cure and heritability were notably absent from most of the ChatGPT generated PILs, which tend to be of interest to patients. This  highlights the advantage of human-created PILs addressing  the specific needs and questions more effectively.
Dataset: 30: score computed from SMOG, FRET and FKGLT scores generated for each of 10 documents; documents regenerated to demonstrate reproducibility
Reference (2025): Todorov D, Park JY, Hing Cheung JA, Avramidou E, Gnanappiragasam D. Assessing the readability of dermatological patient information leaflets generated by ChatGPT-4 and its associated plugins. Skin Health and Disease. 2025 Jan 20:vzae015.

Evaluation of ChatGPT-4 (GPT series) — Is the condition hereditary?, Genetic/Inheritance Factors
Condition/subject: Most prevalent dermatological conditions in individuals aged 18 and older : acne, atopic dermatitis, alopecia, psoriasis, rosacea, squamous cell carcinoma (SCC), basal cell carcinoma (BCC), hidradenitis suppurativa, vitiligo and melanoma.  (English)
Category: Patient Education Materials and Readability Studies — Patient Education
Validity/accuracy: 100.00% (sample size: 20)
Comments: Comparison of the most common subsections in existing British Association of Dermatology patient information  leaflets (PILs) with content inclusion in patient information leaflets generated by ChatGPT-4: sections on cure and heritability were notably absent from most of the ChatGPT generated PILs, which tend to be of interest to patients. This  highlights the advantage of human-created PILs addressing  the specific needs and questions more effectively.

Evaluation of ChatGPT-4 (GPT series) — What does the condition look like?, Visual Description
Condition/subject: Most prevalent dermatological conditions in individuals aged 18 and older : acne, atopic dermatitis, alopecia, psoriasis, rosacea, squamous cell carcinoma (SCC), basal cell carcinoma (BCC), hidradenitis suppurativa, vitiligo and melanoma.  (English)
Category: Patient Education Materials and Readability Studies — Patient Education
Validity/accuracy: 100.00% (sample size: 20)
Comments: Comparison of the most common subsections in existing British Association of Dermatology patient information  leaflets (PILs) with content inclusion in patient information leaflets generated by ChatGPT-4: sections on cure and heritability were notably absent from most of the ChatGPT generated PILs, which tend to be of interest to patients. This  highlights the advantage of human-created PILs addressing  the specific needs and questions more effectively.