Aurametrix/dermatology_longitudinal huggingface dataset:
Dataset: Atopic dermatitis case report written by ChatGPT-4 turbo (AI) compared with the same case report written by two human experts (both with MD and PhD degrees), and written by humans assisted with AI (COM). The survey assessed authorship, ranked their preference, and graded 13 quality criteria for each text. 
Reference (2025): Mara Giavina Bianchi, Andrew D�adario, Pedro Giavina Bianchi, Birajara Soares Machado, Rosana Agondi, Stephanie K.A. Almeida, Wandilson Xavier Alves Junior, Larissa M. Armelin, Marcelo Vivolo Aun, Nat�lia Bordignon, Karla Boufleur, Felipe B. Brunheroto, Elisabeth A. Callegaro, Paula Lazaretti M. Castro, Herberto Jose Chong-Neto, Mariana D. Dall�Osto, Julia Abou Dias, Viviane Heintze Ferreira, Andr� Luiz Oliveira Feodrippe, Livia G. Fonseca, Clycia M. Garcia, Bruna H. Giavina-Bianchi, Ekaterini Goudouris, Danilo Gois Gon�alves, Debora D. Hernandes, Malek Imad, Larissa S. Izabel, Lucas Cau� Jacintho, Carolina Khouri-Panzarin, Fabio Kuschnir, Maria Beatriz P�dua Lima, Amanda I. Lopes, Larissa Nathalia Mac�do N�brega Lopes, Alice Rocha de Magalh�es, Eli Mansour, Ana Karolina B.B. Marinho, Vivian S. Martimiano, Pedro H. Milori, Antonio Marcondes Mutarelli, Guilherme Paes Gon�alves Nogueira, Beatriz K.T. Oguido, Bruna S. Alarcon de Oliveira, Emerson Costa de Oliveira, Georgia A. Padulla, Let�cia D�Ordaz Lhano Santos, Micaelly Samara Meneses Santos, Emanuel Sarinho, Marcela Schoen, Brian Lucas A. Sousa, Eduardo Magalh�es de Souza-Lima, Beatriz C. Todt, Najla Braz da Silva Vaz, Three versions of an atopic dermatitis case report written by humans, artifi

Evaluation of GPT-4-Turbo (GPT series) — Keywords for atopic dermatitis case report, Total
Condition/subject: Atopic dermatitis (English)
Category: Medical Records and Diagnostic Processes. — Professional Education
Validity/accuracy: 68.00% (sample size: 48)
Comments: AI received the highest grades for keywords, surpassing both humans and humans using AI. The average grade was calculated based on the 48 individual scores provided by the participants.48 individuals consisted of STU (Students): 17 participants; RES (Residents): 12 participants; EXP (Experts): 19 participants. Participants favored AI-assisted versions (AI and COM) over HUM (P < .001), with COM receiving the highest quality scores. COM and AI achieved 83.8% and 84.3% reduction in writing time, respectively, compared to HUM, while showing 13.9% (P < .001) and 11.1% improvement in quality (P < .001), respectively. However, experts assigned the lowest score for the references of the AI manuscript.

Evaluation of GPT-4-Turbo (GPT series) — Keywords for atopic dermatitis case report, STU
Condition/subject: Atopic dermatitis (English)
Category: Medical Records and Diagnostic Processes. — Professional Education
Validity/accuracy: 72.00% (sample size: 17)
Comments: 17 students

Evaluation of GPT-4-Turbo (GPT series) — Keywords for atopic dermatitis case report, RES
Condition/subject: Atopic dermatitis (English)
Category: Medical Records and Diagnostic Processes. — Professional Education
Validity/accuracy: 68.00% (sample size: 12)
Comments: 12 residents
Dataset: Atopic dermatitis case report written by ChatGPT-4 turbo (AI) compared with the same case report written by two human experts (both with MD and PhD degrees), and written by humans assisted with AI (COM). The survey assessed authorship, ranked their preference, and graded 13 quality criteria for each text. 
Reference (2025): Mara Giavina Bianchi, Andrew D�adario, Pedro Giavina Bianchi, Birajara Soares Machado, Rosana Agondi, Stephanie K.A. Almeida, Wandilson Xavier Alves Junior, Larissa M. Armelin, Marcelo Vivolo Aun, Nat�lia Bordignon, Karla Boufleur, Felipe B. Brunheroto, Elisabeth A. Callegaro, Paula Lazaretti M. Castro, Herberto Jose Chong-Neto, Mariana D. Dall�Osto, Julia Abou Dias, Viviane Heintze Ferreira, Andr� Luiz Oliveira Feodrippe, Livia G. Fonseca, Clycia M. Garcia, Bruna H. Giavina-Bianchi, Ekaterini Goudouris, Danilo Gois Gon�alves, Debora D. Hernandes, Malek Imad, Larissa S. Izabel, Lucas Cau� Jacintho, Carolina Khouri-Panzarin, Fabio Kuschnir, Maria Beatriz P�dua Lima, Amanda I. Lopes, Larissa Nathalia Mac�do N�brega Lopes, Alice Rocha de Magalh�es, Eli Mansour, Ana Karolina B.B. Marinho, Vivian S. Martimiano, Pedro H. Milori, Antonio Marcondes Mutarelli, Guilherme Paes Gon�alves Nogueira, Beatriz K.T. Oguido, Bruna S. Alarcon de Oliveira, Emerson Costa de Oliveira, Georgia A. Padulla, Let�cia D�Ordaz Lhano Santos, Micaelly Samara Meneses Santos, Emanuel Sarinho, Marcela Schoen, Brian Lucas A. Sousa, Eduardo Magalh�es de Souza-Lima, Beatriz C. Todt, Najla Braz da Silva Vaz, Three versions of an atopic dermatitis case report written by humans, artifi

Evaluation of GPT-4-Turbo (GPT series) — Keywords for atopic dermatitis case report, EXP
Condition/subject: Atopic dermatitis (English)
Category: Medical Records and Diagnostic Processes. — Professional Education
Validity/accuracy: 64.00% (sample size: 19)
Comments: 19 experts

Evaluation of GPT-4-Turbo (GPT series) — Abstract for atopic dermatitis case report, Total
Condition/subject: Atopic dermatitis (English)
Category: Medical Records and Diagnostic Processes. — Professional Education
Validity/accuracy: 76.00% (sample size: 48)
Comments: Human using AI wrote abstract with slightly better scores than AI alone or human alone versions.  The average grade was calculated based on the 48 individual scores provided by the participants.48 individuals consisted of STU (Students): 17 participants; RES (Residents): 12 participants; EXP (Experts): 19 participants. Participants favored AI-assisted versions (AI and COM) over HUM (P < .001), with COM receiving the highest quality scores. COM and AI achieved 83.8% and 84.3% reduction in writing time, respectively, compared to HUM, while showing 13.9% (P < .001) and 11.1% improvement in quality (P < .001), respectively. However, experts assigned the lowest score for the references of the AI manuscript.

Evaluation of GPT-4-Turbo (GPT series) — Abstract for atopic dermatitis case report, STU
Condition/subject: Atopic dermatitis (English)
Category: Medical Records and Diagnostic Processes. — Professional Education
Validity/accuracy: 82.00% (sample size: 17)
Comments: 17 students
Dataset: Atopic dermatitis case report written by ChatGPT-4 turbo (AI) compared with the same case report written by two human experts (both with MD and PhD degrees), and written by humans assisted with AI (COM). The survey assessed authorship, ranked their preference, and graded 13 quality criteria for each text. 
Reference (2025): Mara Giavina Bianchi, Andrew D�adario, Pedro Giavina Bianchi, Birajara Soares Machado, Rosana Agondi, Stephanie K.A. Almeida, Wandilson Xavier Alves Junior, Larissa M. Armelin, Marcelo Vivolo Aun, Nat�lia Bordignon, Karla Boufleur, Felipe B. Brunheroto, Elisabeth A. Callegaro, Paula Lazaretti M. Castro, Herberto Jose Chong-Neto, Mariana D. Dall�Osto, Julia Abou Dias, Viviane Heintze Ferreira, Andr� Luiz Oliveira Feodrippe, Livia G. Fonseca, Clycia M. Garcia, Bruna H. Giavina-Bianchi, Ekaterini Goudouris, Danilo Gois Gon�alves, Debora D. Hernandes, Malek Imad, Larissa S. Izabel, Lucas Cau� Jacintho, Carolina Khouri-Panzarin, Fabio Kuschnir, Maria Beatriz P�dua Lima, Amanda I. Lopes, Larissa Nathalia Mac�do N�brega Lopes, Alice Rocha de Magalh�es, Eli Mansour, Ana Karolina B.B. Marinho, Vivian S. Martimiano, Pedro H. Milori, Antonio Marcondes Mutarelli, Guilherme Paes Gon�alves Nogueira, Beatriz K.T. Oguido, Bruna S. Alarcon de Oliveira, Emerson Costa de Oliveira, Georgia A. Padulla, Let�cia D�Ordaz Lhano Santos, Micaelly Samara Meneses Santos, Emanuel Sarinho, Marcela Schoen, Brian Lucas A. Sousa, Eduardo Magalh�es de Souza-Lima, Beatriz C. Todt, Najla Braz da Silva Vaz, Three versions of an atopic dermatitis case report written by humans, artifi

Evaluation of GPT-4-Turbo (GPT series) — Abstract for atopic dermatitis case report, RES
Condition/subject: Atopic dermatitis (English)
Category: Medical Records and Diagnostic Processes. — Professional Education
Validity/accuracy: 66.00% (sample size: 12)
Comments: 12 residents

Evaluation of GPT-4-Turbo (GPT series) — Abstract for atopic dermatitis case report, EXP
Condition/subject: Atopic dermatitis (English)
Category: Medical Records and Diagnostic Processes. — Professional Education
Validity/accuracy: 74.00% (sample size: 19)
Comments: 19 experts

Evaluation of GPT-4-Turbo (GPT series) — Introduction for atopic dermatitis case report, Total
Condition/subject: Atopic dermatitis (English)
Category: Medical Records and Diagnostic Processes. — Professional Education
Validity/accuracy: 80.00% (sample size: 48)
Comments: AI and humans using AI were equally well rated, both outperforming HUM. The average grade was calculated based on the 48 individual scores provided by the participants.48 individuals consisted of STU (Students): 17 participants; RES (Residents): 12 participants; EXP (Experts): 19 participants. Participants favored AI-assisted versions (AI and COM) over HUM (P < .001), with COM receiving the highest quality scores. COM and AI achieved 83.8% and 84.3% reduction in writing time, respectively, compared to HUM, while showing 13.9% (P < .001) and 11.1% improvement in quality (P < .001), respectively. However, experts assigned the lowest score for the references of the AI manuscript.
Dataset: Atopic dermatitis case report written by ChatGPT-4 turbo (AI) compared with the same case report written by two human experts (both with MD and PhD degrees), and written by humans assisted with AI (COM). The survey assessed authorship, ranked their preference, and graded 13 quality criteria for each text. 
Reference (2025): Mara Giavina Bianchi, Andrew D�adario, Pedro Giavina Bianchi, Birajara Soares Machado, Rosana Agondi, Stephanie K.A. Almeida, Wandilson Xavier Alves Junior, Larissa M. Armelin, Marcelo Vivolo Aun, Nat�lia Bordignon, Karla Boufleur, Felipe B. Brunheroto, Elisabeth A. Callegaro, Paula Lazaretti M. Castro, Herberto Jose Chong-Neto, Mariana D. Dall�Osto, Julia Abou Dias, Viviane Heintze Ferreira, Andr� Luiz Oliveira Feodrippe, Livia G. Fonseca, Clycia M. Garcia, Bruna H. Giavina-Bianchi, Ekaterini Goudouris, Danilo Gois Gon�alves, Debora D. Hernandes, Malek Imad, Larissa S. Izabel, Lucas Cau� Jacintho, Carolina Khouri-Panzarin, Fabio Kuschnir, Maria Beatriz P�dua Lima, Amanda I. Lopes, Larissa Nathalia Mac�do N�brega Lopes, Alice Rocha de Magalh�es, Eli Mansour, Ana Karolina B.B. Marinho, Vivian S. Martimiano, Pedro H. Milori, Antonio Marcondes Mutarelli, Guilherme Paes Gon�alves Nogueira, Beatriz K.T. Oguido, Bruna S. Alarcon de Oliveira, Emerson Costa de Oliveira, Georgia A. Padulla, Let�cia D�Ordaz Lhano Santos, Micaelly Samara Meneses Santos, Emanuel Sarinho, Marcela Schoen, Brian Lucas A. Sousa, Eduardo Magalh�es de Souza-Lima, Beatriz C. Todt, Najla Braz da Silva Vaz, Three versions of an atopic dermatitis case report written by humans, artifi

Evaluation of GPT-4-Turbo (GPT series) — Introduction for atopic dermatitis case report, STU
Condition/subject: Atopic dermatitis (English)
Category: Medical Records and Diagnostic Processes. — Professional Education
Validity/accuracy: 88.00% (sample size: 17)
Comments: 17 students

Evaluation of GPT-4-Turbo (GPT series) — Introduction for atopic dermatitis case report, RES
Condition/subject: Atopic dermatitis (English)
Category: Medical Records and Diagnostic Processes. — Professional Education
Validity/accuracy: 76.00% (sample size: 12)
Comments: 12 residents

Evaluation of GPT-4-Turbo (GPT series) — Introduction for atopic dermatitis case report, EXP
Condition/subject: Atopic dermatitis (English)
Category: Medical Records and Diagnostic Processes. — Professional Education
Validity/accuracy: 74.00% (sample size: 19)
Comments: 19 experts
Dataset: Atopic dermatitis case report written by ChatGPT-4 turbo (AI) compared with the same case report written by two human experts (both with MD and PhD degrees), and written by humans assisted with AI (COM). The survey assessed authorship, ranked their preference, and graded 13 quality criteria for each text. 
Reference (2025): Mara Giavina Bianchi, Andrew D�adario, Pedro Giavina Bianchi, Birajara Soares Machado, Rosana Agondi, Stephanie K.A. Almeida, Wandilson Xavier Alves Junior, Larissa M. Armelin, Marcelo Vivolo Aun, Nat�lia Bordignon, Karla Boufleur, Felipe B. Brunheroto, Elisabeth A. Callegaro, Paula Lazaretti M. Castro, Herberto Jose Chong-Neto, Mariana D. Dall�Osto, Julia Abou Dias, Viviane Heintze Ferreira, Andr� Luiz Oliveira Feodrippe, Livia G. Fonseca, Clycia M. Garcia, Bruna H. Giavina-Bianchi, Ekaterini Goudouris, Danilo Gois Gon�alves, Debora D. Hernandes, Malek Imad, Larissa S. Izabel, Lucas Cau� Jacintho, Carolina Khouri-Panzarin, Fabio Kuschnir, Maria Beatriz P�dua Lima, Amanda I. Lopes, Larissa Nathalia Mac�do N�brega Lopes, Alice Rocha de Magalh�es, Eli Mansour, Ana Karolina B.B. Marinho, Vivian S. Martimiano, Pedro H. Milori, Antonio Marcondes Mutarelli, Guilherme Paes Gon�alves Nogueira, Beatriz K.T. Oguido, Bruna S. Alarcon de Oliveira, Emerson Costa de Oliveira, Georgia A. Padulla, Let�cia D�Ordaz Lhano Santos, Micaelly Samara Meneses Santos, Emanuel Sarinho, Marcela Schoen, Brian Lucas A. Sousa, Eduardo Magalh�es de Souza-Lima, Beatriz C. Todt, Najla Braz da Silva Vaz, Three versions of an atopic dermatitis case report written by humans, artifi

Evaluation of GPT-4-Turbo (GPT series) — Discussion for atopic dermatitis case report, Total
Condition/subject: Atopic dermatitis (English)
Category: Medical Records and Diagnostic Processes. — Professional Education
Validity/accuracy: 84.00% (sample size: 48)
Comments: AI received lower grades for discussion compared to COM and HUM. The average grade was calculated based on the 48 individual scores provided by the participants.48 individuals consisted of STU (Students): 17 participants; RES (Residents): 12 participants; EXP (Experts): 19 participants. Participants favored AI-assisted versions (AI and COM) over HUM (P < .001), with COM receiving the highest quality scores. COM and AI achieved 83.8% and 84.3% reduction in writing time, respectively, compared to HUM, while showing 13.9% (P < .001) and 11.1% improvement in quality (P < .001), respectively. However, experts assigned the lowest score for the references of the AI manuscript.

Evaluation of GPT-4-Turbo (GPT series) — Discussion for atopic dermatitis case report, STU
Condition/subject: Atopic dermatitis (English)
Category: Medical Records and Diagnostic Processes. — Professional Education
Validity/accuracy: 92.00% (sample size: 17)
Comments: 17 students

Evaluation of GPT-4-Turbo (GPT series) — Discussion for atopic dermatitis case report, RES
Condition/subject: Atopic dermatitis (English)
Category: Medical Records and Diagnostic Processes. — Professional Education
Validity/accuracy: 86.00% (sample size: 12)
Comments: 12 residents
Dataset: Atopic dermatitis case report written by ChatGPT-4 turbo (AI) compared with the same case report written by two human experts (both with MD and PhD degrees), and written by humans assisted with AI (COM). The survey assessed authorship, ranked their preference, and graded 13 quality criteria for each text. 
Reference (2025): Mara Giavina Bianchi, Andrew D�adario, Pedro Giavina Bianchi, Birajara Soares Machado, Rosana Agondi, Stephanie K.A. Almeida, Wandilson Xavier Alves Junior, Larissa M. Armelin, Marcelo Vivolo Aun, Nat�lia Bordignon, Karla Boufleur, Felipe B. Brunheroto, Elisabeth A. Callegaro, Paula Lazaretti M. Castro, Herberto Jose Chong-Neto, Mariana D. Dall�Osto, Julia Abou Dias, Viviane Heintze Ferreira, Andr� Luiz Oliveira Feodrippe, Livia G. Fonseca, Clycia M. Garcia, Bruna H. Giavina-Bianchi, Ekaterini Goudouris, Danilo Gois Gon�alves, Debora D. Hernandes, Malek Imad, Larissa S. Izabel, Lucas Cau� Jacintho, Carolina Khouri-Panzarin, Fabio Kuschnir, Maria Beatriz P�dua Lima, Amanda I. Lopes, Larissa Nathalia Mac�do N�brega Lopes, Alice Rocha de Magalh�es, Eli Mansour, Ana Karolina B.B. Marinho, Vivian S. Martimiano, Pedro H. Milori, Antonio Marcondes Mutarelli, Guilherme Paes Gon�alves Nogueira, Beatriz K.T. Oguido, Bruna S. Alarcon de Oliveira, Emerson Costa de Oliveira, Georgia A. Padulla, Let�cia D�Ordaz Lhano Santos, Micaelly Samara Meneses Santos, Emanuel Sarinho, Marcela Schoen, Brian Lucas A. Sousa, Eduardo Magalh�es de Souza-Lima, Beatriz C. Todt, Najla Braz da Silva Vaz, Three versions of an atopic dermatitis case report written by humans, artifi

Evaluation of GPT-4-Turbo (GPT series) — Discussion for atopic dermatitis case report, EXP
Condition/subject: Atopic dermatitis (English)
Category: Medical Records and Diagnostic Processes. — Professional Education
Validity/accuracy: 74.00% (sample size: 19)
Comments: 19 experts

Evaluation of GPT-4-Turbo (GPT series) — Conclusion for atopic dermatitis case report, Total
Condition/subject: Atopic dermatitis (English)
Category: Medical Records and Diagnostic Processes. — Professional Education
Validity/accuracy: 86.00% (sample size: 48)
Comments: AI received lower grades for conclusion compared to COM and HUM. The average grade was calculated based on the 48 individual scores provided by the participants.48 individuals consisted of STU (Students): 17 participants; RES (Residents): 12 participants; EXP (Experts): 19 participants. Participants favored AI-assisted versions (AI and COM) over HUM (P < .001), with COM receiving the highest quality scores. COM and AI achieved 83.8% and 84.3% reduction in writing time, respectively, compared to HUM, while showing 13.9% (P < .001) and 11.1% improvement in quality (P < .001), respectively. However, experts assigned the lowest score for the references of the AI manuscript.

Evaluation of GPT-4-Turbo (GPT series) — Conclusion for atopic dermatitis case report, STU
Condition/subject: Atopic dermatitis (English)
Category: Medical Records and Diagnostic Processes. — Professional Education
Validity/accuracy: 90.00% (sample size: 17)
Comments: 17 students
Dataset: Atopic dermatitis case report written by ChatGPT-4 turbo (AI) compared with the same case report written by two human experts (both with MD and PhD degrees), and written by humans assisted with AI (COM). The survey assessed authorship, ranked their preference, and graded 13 quality criteria for each text. 
Reference (2025): Mara Giavina Bianchi, Andrew D�adario, Pedro Giavina Bianchi, Birajara Soares Machado, Rosana Agondi, Stephanie K.A. Almeida, Wandilson Xavier Alves Junior, Larissa M. Armelin, Marcelo Vivolo Aun, Nat�lia Bordignon, Karla Boufleur, Felipe B. Brunheroto, Elisabeth A. Callegaro, Paula Lazaretti M. Castro, Herberto Jose Chong-Neto, Mariana D. Dall�Osto, Julia Abou Dias, Viviane Heintze Ferreira, Andr� Luiz Oliveira Feodrippe, Livia G. Fonseca, Clycia M. Garcia, Bruna H. Giavina-Bianchi, Ekaterini Goudouris, Danilo Gois Gon�alves, Debora D. Hernandes, Malek Imad, Larissa S. Izabel, Lucas Cau� Jacintho, Carolina Khouri-Panzarin, Fabio Kuschnir, Maria Beatriz P�dua Lima, Amanda I. Lopes, Larissa Nathalia Mac�do N�brega Lopes, Alice Rocha de Magalh�es, Eli Mansour, Ana Karolina B.B. Marinho, Vivian S. Martimiano, Pedro H. Milori, Antonio Marcondes Mutarelli, Guilherme Paes Gon�alves Nogueira, Beatriz K.T. Oguido, Bruna S. Alarcon de Oliveira, Emerson Costa de Oliveira, Georgia A. Padulla, Let�cia D�Ordaz Lhano Santos, Micaelly Samara Meneses Santos, Emanuel Sarinho, Marcela Schoen, Brian Lucas A. Sousa, Eduardo Magalh�es de Souza-Lima, Beatriz C. Todt, Najla Braz da Silva Vaz, Three versions of an atopic dermatitis case report written by humans, artifi

Evaluation of GPT-4-Turbo (GPT series) — Conclusion for atopic dermatitis case report, RES
Condition/subject: Atopic dermatitis (English)
Category: Medical Records and Diagnostic Processes. — Professional Education
Validity/accuracy: 90.00% (sample size: 12)
Comments: 12 residents

Evaluation of GPT-4-Turbo (GPT series) — Conclusion for atopic dermatitis case report, EXP
Condition/subject: Atopic dermatitis (English)
Category: Medical Records and Diagnostic Processes. — Professional Education
Validity/accuracy: 82.00% (sample size: 19)
Comments: 19 experts

Evaluation of GPT-4-Turbo (GPT series) — References for atopic dermatitis case report, Total
Condition/subject: Atopic dermatitis (English)
Category: Medical Records and Diagnostic Processes. — Professional Education
Validity/accuracy: 76.00% (sample size: 48)
Comments: HUM outperformed AI in references. COM tied with HUM for keywords. The average grade was calculated based on the 48 individual scores provided by the participants.48 individuals consisted of STU (Students): 17 participants; RES (Residents): 12 participants; EXP (Experts): 19 participants. Participants favored AI-assisted versions (AI and COM) over HUM (P < .001), with COM receiving the highest quality scores. COM and AI achieved 83.8% and 84.3% reduction in writing time, respectively, compared to HUM, while showing 13.9% (P < .001) and 11.1% improvement in quality (P < .001), respectively. However, experts assigned the lowest score for the references of the AI manuscript.
Dataset: Atopic dermatitis case report written by ChatGPT-4 turbo (AI) compared with the same case report written by two human experts (both with MD and PhD degrees), and written by humans assisted with AI (COM). The survey assessed authorship, ranked their preference, and graded 13 quality criteria for each text. 
Reference (2025): Mara Giavina Bianchi, Andrew D�adario, Pedro Giavina Bianchi, Birajara Soares Machado, Rosana Agondi, Stephanie K.A. Almeida, Wandilson Xavier Alves Junior, Larissa M. Armelin, Marcelo Vivolo Aun, Nat�lia Bordignon, Karla Boufleur, Felipe B. Brunheroto, Elisabeth A. Callegaro, Paula Lazaretti M. Castro, Herberto Jose Chong-Neto, Mariana D. Dall�Osto, Julia Abou Dias, Viviane Heintze Ferreira, Andr� Luiz Oliveira Feodrippe, Livia G. Fonseca, Clycia M. Garcia, Bruna H. Giavina-Bianchi, Ekaterini Goudouris, Danilo Gois Gon�alves, Debora D. Hernandes, Malek Imad, Larissa S. Izabel, Lucas Cau� Jacintho, Carolina Khouri-Panzarin, Fabio Kuschnir, Maria Beatriz P�dua Lima, Amanda I. Lopes, Larissa Nathalia Mac�do N�brega Lopes, Alice Rocha de Magalh�es, Eli Mansour, Ana Karolina B.B. Marinho, Vivian S. Martimiano, Pedro H. Milori, Antonio Marcondes Mutarelli, Guilherme Paes Gon�alves Nogueira, Beatriz K.T. Oguido, Bruna S. Alarcon de Oliveira, Emerson Costa de Oliveira, Georgia A. Padulla, Let�cia D�Ordaz Lhano Santos, Micaelly Samara Meneses Santos, Emanuel Sarinho, Marcela Schoen, Brian Lucas A. Sousa, Eduardo Magalh�es de Souza-Lima, Beatriz C. Todt, Najla Braz da Silva Vaz, Three versions of an atopic dermatitis case report written by humans, artifi

Evaluation of GPT-4-Turbo (GPT series) — References for atopic dermatitis case report, STU
Condition/subject: Atopic dermatitis (English)
Category: Medical Records and Diagnostic Processes. — Professional Education
Validity/accuracy: 86.00% (sample size: 17)
Comments: 17 students

Evaluation of GPT-4-Turbo (GPT series) — References for atopic dermatitis case report, RES
Condition/subject: Atopic dermatitis (English)
Category: Medical Records and Diagnostic Processes. — Professional Education
Validity/accuracy: 86.00% (sample size: 12)
Comments: 12 residents

Evaluation of GPT-4-Turbo (GPT series) — References for atopic dermatitis case report, EXP
Condition/subject: Atopic dermatitis (English)
Category: Medical Records and Diagnostic Processes. — Professional Education
Validity/accuracy: 58.00% (sample size: 19)
Comments: 19 experts
Dataset: Atopic dermatitis case report written by ChatGPT-4 turbo (AI) compared with the same case report written by two human experts (both with MD and PhD degrees), and written by humans assisted with AI (COM). The survey assessed authorship, ranked their preference, and graded 13 quality criteria for each text. 
Reference (2025): Mara Giavina Bianchi, Andrew D�adario, Pedro Giavina Bianchi, Birajara Soares Machado, Rosana Agondi, Stephanie K.A. Almeida, Wandilson Xavier Alves Junior, Larissa M. Armelin, Marcelo Vivolo Aun, Nat�lia Bordignon, Karla Boufleur, Felipe B. Brunheroto, Elisabeth A. Callegaro, Paula Lazaretti M. Castro, Herberto Jose Chong-Neto, Mariana D. Dall�Osto, Julia Abou Dias, Viviane Heintze Ferreira, Andr� Luiz Oliveira Feodrippe, Livia G. Fonseca, Clycia M. Garcia, Bruna H. Giavina-Bianchi, Ekaterini Goudouris, Danilo Gois Gon�alves, Debora D. Hernandes, Malek Imad, Larissa S. Izabel, Lucas Cau� Jacintho, Carolina Khouri-Panzarin, Fabio Kuschnir, Maria Beatriz P�dua Lima, Amanda I. Lopes, Larissa Nathalia Mac�do N�brega Lopes, Alice Rocha de Magalh�es, Eli Mansour, Ana Karolina B.B. Marinho, Vivian S. Martimiano, Pedro H. Milori, Antonio Marcondes Mutarelli, Guilherme Paes Gon�alves Nogueira, Beatriz K.T. Oguido, Bruna S. Alarcon de Oliveira, Emerson Costa de Oliveira, Georgia A. Padulla, Let�cia D�Ordaz Lhano Santos, Micaelly Samara Meneses Santos, Emanuel Sarinho, Marcela Schoen, Brian Lucas A. Sousa, Eduardo Magalh�es de Souza-Lima, Beatriz C. Todt, Najla Braz da Silva Vaz, Three versions of an atopic dermatitis case report written by humans, artifi

Evaluation of GPT-4-Turbo (GPT series) — Scientific Rigor for atopic dermatitis case report, Total
Condition/subject: Atopic dermatitis (English)
Category: Medical Records and Diagnostic Processes. — Professional Education
Validity/accuracy: 78.00% (sample size: 48)
Comments: COM and AI received equally positive evaluations for scientific rigor and clarity. The average grade was calculated based on the 48 individual scores provided by the participants.48 individuals consisted of STU (Students): 17 participants; RES (Residents): 12 participants; EXP (Experts): 19 participants. Participants favored AI-assisted versions (AI and COM) over HUM (P < .001), with COM receiving the highest quality scores. COM and AI achieved 83.8% and 84.3% reduction in writing time, respectively, compared to HUM, while showing 13.9% (P < .001) and 11.1% improvement in quality (P < .001), respectively. However, experts assigned the lowest score for the references of the AI manuscript.

Evaluation of GPT-4-Turbo (GPT series) — Scientific Rigor for atopic dermatitis case report, STU
Condition/subject: Atopic dermatitis (English)
Category: Medical Records and Diagnostic Processes. — Professional Education
Validity/accuracy: 86.00% (sample size: 17)
Comments: 17 students

Evaluation of GPT-4-Turbo (GPT series) — Scientific Rigor for atopic dermatitis case report, RES
Condition/subject: Atopic dermatitis (English)
Category: Medical Records and Diagnostic Processes. — Professional Education
Validity/accuracy: 80.00% (sample size: 12)
Comments: 12 residents
Dataset: Atopic dermatitis case report written by ChatGPT-4 turbo (AI) compared with the same case report written by two human experts (both with MD and PhD degrees), and written by humans assisted with AI (COM). The survey assessed authorship, ranked their preference, and graded 13 quality criteria for each text. 
Reference (2025): Mara Giavina Bianchi, Andrew D�adario, Pedro Giavina Bianchi, Birajara Soares Machado, Rosana Agondi, Stephanie K.A. Almeida, Wandilson Xavier Alves Junior, Larissa M. Armelin, Marcelo Vivolo Aun, Nat�lia Bordignon, Karla Boufleur, Felipe B. Brunheroto, Elisabeth A. Callegaro, Paula Lazaretti M. Castro, Herberto Jose Chong-Neto, Mariana D. Dall�Osto, Julia Abou Dias, Viviane Heintze Ferreira, Andr� Luiz Oliveira Feodrippe, Livia G. Fonseca, Clycia M. Garcia, Bruna H. Giavina-Bianchi, Ekaterini Goudouris, Danilo Gois Gon�alves, Debora D. Hernandes, Malek Imad, Larissa S. Izabel, Lucas Cau� Jacintho, Carolina Khouri-Panzarin, Fabio Kuschnir, Maria Beatriz P�dua Lima, Amanda I. Lopes, Larissa Nathalia Mac�do N�brega Lopes, Alice Rocha de Magalh�es, Eli Mansour, Ana Karolina B.B. Marinho, Vivian S. Martimiano, Pedro H. Milori, Antonio Marcondes Mutarelli, Guilherme Paes Gon�alves Nogueira, Beatriz K.T. Oguido, Bruna S. Alarcon de Oliveira, Emerson Costa de Oliveira, Georgia A. Padulla, Let�cia D�Ordaz Lhano Santos, Micaelly Samara Meneses Santos, Emanuel Sarinho, Marcela Schoen, Brian Lucas A. Sousa, Eduardo Magalh�es de Souza-Lima, Beatriz C. Todt, Najla Braz da Silva Vaz, Three versions of an atopic dermatitis case report written by humans, artifi

Evaluation of GPT-4-Turbo (GPT series) — Scientific Rigor for atopic dermatitis case report, EXP
Condition/subject: Atopic dermatitis (English)
Category: Medical Records and Diagnostic Processes. — Professional Education
Validity/accuracy: 68.00% (sample size: 19)
Comments: 19 experts

Evaluation of GPT-4-Turbo (GPT series) — Quality of Writing for atopic dermatitis case report, Total
Condition/subject: Atopic dermatitis (English)
Category: Medical Records and Diagnostic Processes. — Professional Education
Validity/accuracy: 80.00% (sample size: 48)
Comments: COM outperformed AI in quality of writing, cohesion, and content. The average grade was calculated based on the 48 individual scores provided by the participants.48 individuals consisted of STU (Students): 17 participants; RES (Residents): 12 participants; EXP (Experts): 19 participants. Participants favored AI-assisted versions (AI and COM) over HUM (P < .001), with COM receiving the highest quality scores. COM and AI achieved 83.8% and 84.3% reduction in writing time, respectively, compared to HUM, while showing 13.9% (P < .001) and 11.1% improvement in quality (P < .001), respectively. However, experts assigned the lowest score for the references of the AI manuscript.

Evaluation of GPT-4-Turbo (GPT series) — Quality of Writing for atopic dermatitis case report, STU
Condition/subject: Atopic dermatitis (English)
Category: Medical Records and Diagnostic Processes. — Professional Education
Validity/accuracy: 90.00% (sample size: 17)
Comments: 17 students
Dataset: Atopic dermatitis case report written by ChatGPT-4 turbo (AI) compared with the same case report written by two human experts (both with MD and PhD degrees), and written by humans assisted with AI (COM). The survey assessed authorship, ranked their preference, and graded 13 quality criteria for each text. 
Reference (2025): Mara Giavina Bianchi, Andrew D�adario, Pedro Giavina Bianchi, Birajara Soares Machado, Rosana Agondi, Stephanie K.A. Almeida, Wandilson Xavier Alves Junior, Larissa M. Armelin, Marcelo Vivolo Aun, Nat�lia Bordignon, Karla Boufleur, Felipe B. Brunheroto, Elisabeth A. Callegaro, Paula Lazaretti M. Castro, Herberto Jose Chong-Neto, Mariana D. Dall�Osto, Julia Abou Dias, Viviane Heintze Ferreira, Andr� Luiz Oliveira Feodrippe, Livia G. Fonseca, Clycia M. Garcia, Bruna H. Giavina-Bianchi, Ekaterini Goudouris, Danilo Gois Gon�alves, Debora D. Hernandes, Malek Imad, Larissa S. Izabel, Lucas Cau� Jacintho, Carolina Khouri-Panzarin, Fabio Kuschnir, Maria Beatriz P�dua Lima, Amanda I. Lopes, Larissa Nathalia Mac�do N�brega Lopes, Alice Rocha de Magalh�es, Eli Mansour, Ana Karolina B.B. Marinho, Vivian S. Martimiano, Pedro H. Milori, Antonio Marcondes Mutarelli, Guilherme Paes Gon�alves Nogueira, Beatriz K.T. Oguido, Bruna S. Alarcon de Oliveira, Emerson Costa de Oliveira, Georgia A. Padulla, Let�cia D�Ordaz Lhano Santos, Micaelly Samara Meneses Santos, Emanuel Sarinho, Marcela Schoen, Brian Lucas A. Sousa, Eduardo Magalh�es de Souza-Lima, Beatriz C. Todt, Najla Braz da Silva Vaz, Three versions of an atopic dermatitis case report written by humans, artifi

Evaluation of GPT-4-Turbo (GPT series) — Quality of Writing for atopic dermatitis case report, RES
Condition/subject: Atopic dermatitis (English)
Category: Medical Records and Diagnostic Processes. — Professional Education
Validity/accuracy: 76.00% (sample size: 12)
Comments: 12 residents

Evaluation of GPT-4-Turbo (GPT series) — Quality of Writing for atopic dermatitis case report, EXP
Condition/subject: Atopic dermatitis (English)
Category: Medical Records and Diagnostic Processes. — Professional Education
Validity/accuracy: 74.00% (sample size: 19)
Comments: 19 experts

Evaluation of GPT-4-Turbo (GPT series) — Clarity for atopic dermatitis case report, Total
Condition/subject: Atopic dermatitis (English)
Category: Medical Records and Diagnostic Processes. — Professional Education
Validity/accuracy: 84.00% (sample size: 48)
Comments: All LLMs received high clarity scores, with HUM slightly higher. The average grade was calculated based on the 48 individual scores provided by the participants.48 individuals consisted of STU (Students): 17 participants; RES (Residents): 12 participants; EXP (Experts): 19 participants. Participants favored AI-assisted versions (AI and COM) over HUM (P < .001), with COM receiving the highest quality scores. COM and AI achieved 83.8% and 84.3% reduction in writing time, respectively, compared to HUM, while showing 13.9% (P < .001) and 11.1% improvement in quality (P < .001), respectively. However, experts assigned the lowest score for the references of the AI manuscript.
Dataset: Atopic dermatitis case report written by ChatGPT-4 turbo (AI) compared with the same case report written by two human experts (both with MD and PhD degrees), and written by humans assisted with AI (COM). The survey assessed authorship, ranked their preference, and graded 13 quality criteria for each text. 
Reference (2025): Mara Giavina Bianchi, Andrew D�adario, Pedro Giavina Bianchi, Birajara Soares Machado, Rosana Agondi, Stephanie K.A. Almeida, Wandilson Xavier Alves Junior, Larissa M. Armelin, Marcelo Vivolo Aun, Nat�lia Bordignon, Karla Boufleur, Felipe B. Brunheroto, Elisabeth A. Callegaro, Paula Lazaretti M. Castro, Herberto Jose Chong-Neto, Mariana D. Dall�Osto, Julia Abou Dias, Viviane Heintze Ferreira, Andr� Luiz Oliveira Feodrippe, Livia G. Fonseca, Clycia M. Garcia, Bruna H. Giavina-Bianchi, Ekaterini Goudouris, Danilo Gois Gon�alves, Debora D. Hernandes, Malek Imad, Larissa S. Izabel, Lucas Cau� Jacintho, Carolina Khouri-Panzarin, Fabio Kuschnir, Maria Beatriz P�dua Lima, Amanda I. Lopes, Larissa Nathalia Mac�do N�brega Lopes, Alice Rocha de Magalh�es, Eli Mansour, Ana Karolina B.B. Marinho, Vivian S. Martimiano, Pedro H. Milori, Antonio Marcondes Mutarelli, Guilherme Paes Gon�alves Nogueira, Beatriz K.T. Oguido, Bruna S. Alarcon de Oliveira, Emerson Costa de Oliveira, Georgia A. Padulla, Let�cia D�Ordaz Lhano Santos, Micaelly Samara Meneses Santos, Emanuel Sarinho, Marcela Schoen, Brian Lucas A. Sousa, Eduardo Magalh�es de Souza-Lima, Beatriz C. Todt, Najla Braz da Silva Vaz, Three versions of an atopic dermatitis case report written by humans, artifi

Evaluation of GPT-4-Turbo (GPT series) — Clarity for atopic dermatitis case report, STU
Condition/subject: Atopic dermatitis (English)
Category: Medical Records and Diagnostic Processes. — Professional Education
Validity/accuracy: 88.00% (sample size: 17)
Comments: 17 students

Evaluation of GPT-4-Turbo (GPT series) — Clarity for atopic dermatitis case report, RES
Condition/subject: Atopic dermatitis (English)
Category: Medical Records and Diagnostic Processes. — Professional Education
Validity/accuracy: 86.00% (sample size: 12)
Comments: 12 residents

Evaluation of GPT-4-Turbo (GPT series) — Clarity for atopic dermatitis case report, EXP
Condition/subject: Atopic dermatitis (English)
Category: Medical Records and Diagnostic Processes. — Professional Education
Validity/accuracy: 80.00% (sample size: 19)
Comments: 19 experts
Dataset: Atopic dermatitis case report written by ChatGPT-4 turbo (AI) compared with the same case report written by two human experts (both with MD and PhD degrees), and written by humans assisted with AI (COM). The survey assessed authorship, ranked their preference, and graded 13 quality criteria for each text. 
Reference (2025): Mara Giavina Bianchi, Andrew D�adario, Pedro Giavina Bianchi, Birajara Soares Machado, Rosana Agondi, Stephanie K.A. Almeida, Wandilson Xavier Alves Junior, Larissa M. Armelin, Marcelo Vivolo Aun, Nat�lia Bordignon, Karla Boufleur, Felipe B. Brunheroto, Elisabeth A. Callegaro, Paula Lazaretti M. Castro, Herberto Jose Chong-Neto, Mariana D. Dall�Osto, Julia Abou Dias, Viviane Heintze Ferreira, Andr� Luiz Oliveira Feodrippe, Livia G. Fonseca, Clycia M. Garcia, Bruna H. Giavina-Bianchi, Ekaterini Goudouris, Danilo Gois Gon�alves, Debora D. Hernandes, Malek Imad, Larissa S. Izabel, Lucas Cau� Jacintho, Carolina Khouri-Panzarin, Fabio Kuschnir, Maria Beatriz P�dua Lima, Amanda I. Lopes, Larissa Nathalia Mac�do N�brega Lopes, Alice Rocha de Magalh�es, Eli Mansour, Ana Karolina B.B. Marinho, Vivian S. Martimiano, Pedro H. Milori, Antonio Marcondes Mutarelli, Guilherme Paes Gon�alves Nogueira, Beatriz K.T. Oguido, Bruna S. Alarcon de Oliveira, Emerson Costa de Oliveira, Georgia A. Padulla, Let�cia D�Ordaz Lhano Santos, Micaelly Samara Meneses Santos, Emanuel Sarinho, Marcela Schoen, Brian Lucas A. Sousa, Eduardo Magalh�es de Souza-Lima, Beatriz C. Todt, Najla Braz da Silva Vaz, Three versions of an atopic dermatitis case report written by humans, artifi

Evaluation of GPT-4-Turbo (GPT series) — Cohesion for atopic dermatitis case report, Total
Condition/subject: Atopic dermatitis (English)
Category: Medical Records and Diagnostic Processes. — Professional Education
Validity/accuracy: 78.00% (sample size: 48)
Comments: COM and HUM outperformed AI in cohesion. The average grade was calculated based on the 48 individual scores provided by the participants.48 individuals consisted of STU (Students): 17 participants; RES (Residents): 12 participants; EXP (Experts): 19 participants. Participants favored AI-assisted versions (AI and COM) over HUM (P < .001), with COM receiving the highest quality scores. COM and AI achieved 83.8% and 84.3% reduction in writing time, respectively, compared to HUM, while showing 13.9% (P < .001) and 11.1% improvement in quality (P < .001), respectively. However, experts assigned the lowest score for the references of the AI manuscript.

Evaluation of GPT-4-Turbo (GPT series) — Cohesion for atopic dermatitis case report, STU
Condition/subject: Atopic dermatitis (English)
Category: Medical Records and Diagnostic Processes. — Professional Education
Validity/accuracy: 88.00% (sample size: 17)
Comments: 17 students

Evaluation of GPT-4-Turbo (GPT series) — Cohesion for atopic dermatitis case report, RES
Condition/subject: Atopic dermatitis (English)
Category: Medical Records and Diagnostic Processes. — Professional Education
Validity/accuracy: 78.00% (sample size: 12)
Comments: 12 residents
Dataset: Atopic dermatitis case report written by ChatGPT-4 turbo (AI) compared with the same case report written by two human experts (both with MD and PhD degrees), and written by humans assisted with AI (COM). The survey assessed authorship, ranked their preference, and graded 13 quality criteria for each text. 
Reference (2025): Mara Giavina Bianchi, Andrew D�adario, Pedro Giavina Bianchi, Birajara Soares Machado, Rosana Agondi, Stephanie K.A. Almeida, Wandilson Xavier Alves Junior, Larissa M. Armelin, Marcelo Vivolo Aun, Nat�lia Bordignon, Karla Boufleur, Felipe B. Brunheroto, Elisabeth A. Callegaro, Paula Lazaretti M. Castro, Herberto Jose Chong-Neto, Mariana D. Dall�Osto, Julia Abou Dias, Viviane Heintze Ferreira, Andr� Luiz Oliveira Feodrippe, Livia G. Fonseca, Clycia M. Garcia, Bruna H. Giavina-Bianchi, Ekaterini Goudouris, Danilo Gois Gon�alves, Debora D. Hernandes, Malek Imad, Larissa S. Izabel, Lucas Cau� Jacintho, Carolina Khouri-Panzarin, Fabio Kuschnir, Maria Beatriz P�dua Lima, Amanda I. Lopes, Larissa Nathalia Mac�do N�brega Lopes, Alice Rocha de Magalh�es, Eli Mansour, Ana Karolina B.B. Marinho, Vivian S. Martimiano, Pedro H. Milori, Antonio Marcondes Mutarelli, Guilherme Paes Gon�alves Nogueira, Beatriz K.T. Oguido, Bruna S. Alarcon de Oliveira, Emerson Costa de Oliveira, Georgia A. Padulla, Let�cia D�Ordaz Lhano Santos, Micaelly Samara Meneses Santos, Emanuel Sarinho, Marcela Schoen, Brian Lucas A. Sousa, Eduardo Magalh�es de Souza-Lima, Beatriz C. Todt, Najla Braz da Silva Vaz, Three versions of an atopic dermatitis case report written by humans, artifi

Evaluation of GPT-4-Turbo (GPT series) — Cohesion for atopic dermatitis case report, EXP
Condition/subject: Atopic dermatitis (English)
Category: Medical Records and Diagnostic Processes. — Professional Education
Validity/accuracy: 68.00% (sample size: 19)
Comments: 19 experts

Evaluation of GPT-4-Turbo (GPT series) — Content for atopic dermatitis case report, Total
Condition/subject: Atopic dermatitis (English)
Category: Medical Records and Diagnostic Processes. — Professional Education
Validity/accuracy: 82.00% (sample size: 48)
Comments: COM received the highest content quality scores, followed by HUM and AI. The average grade was calculated based on the 48 individual scores provided by the participants.48 individuals consisted of STU (Students): 17 participants; RES (Residents): 12 participants; EXP (Experts): 19 participants. Participants favored AI-assisted versions (AI and COM) over HUM (P < .001), with COM receiving the highest quality scores. COM and AI achieved 83.8% and 84.3% reduction in writing time, respectively, compared to HUM, while showing 13.9% (P < .001) and 11.1% improvement in quality (P < .001), respectively. However, experts assigned the lowest score for the references of the AI manuscript.

Evaluation of GPT-4-Turbo (GPT series) — Content for atopic dermatitis case report, STU
Condition/subject: Atopic dermatitis (English)
Category: Medical Records and Diagnostic Processes. — Professional Education
Validity/accuracy: 92.00% (sample size: 17)
Comments: 17 students
Dataset: Atopic dermatitis case report written by ChatGPT-4 turbo (AI) compared with the same case report written by two human experts (both with MD and PhD degrees), and written by humans assisted with AI (COM). The survey assessed authorship, ranked their preference, and graded 13 quality criteria for each text. 
Reference (2025): Mara Giavina Bianchi, Andrew D�adario, Pedro Giavina Bianchi, Birajara Soares Machado, Rosana Agondi, Stephanie K.A. Almeida, Wandilson Xavier Alves Junior, Larissa M. Armelin, Marcelo Vivolo Aun, Nat�lia Bordignon, Karla Boufleur, Felipe B. Brunheroto, Elisabeth A. Callegaro, Paula Lazaretti M. Castro, Herberto Jose Chong-Neto, Mariana D. Dall�Osto, Julia Abou Dias, Viviane Heintze Ferreira, Andr� Luiz Oliveira Feodrippe, Livia G. Fonseca, Clycia M. Garcia, Bruna H. Giavina-Bianchi, Ekaterini Goudouris, Danilo Gois Gon�alves, Debora D. Hernandes, Malek Imad, Larissa S. Izabel, Lucas Cau� Jacintho, Carolina Khouri-Panzarin, Fabio Kuschnir, Maria Beatriz P�dua Lima, Amanda I. Lopes, Larissa Nathalia Mac�do N�brega Lopes, Alice Rocha de Magalh�es, Eli Mansour, Ana Karolina B.B. Marinho, Vivian S. Martimiano, Pedro H. Milori, Antonio Marcondes Mutarelli, Guilherme Paes Gon�alves Nogueira, Beatriz K.T. Oguido, Bruna S. Alarcon de Oliveira, Emerson Costa de Oliveira, Georgia A. Padulla, Let�cia D�Ordaz Lhano Santos, Micaelly Samara Meneses Santos, Emanuel Sarinho, Marcela Schoen, Brian Lucas A. Sousa, Eduardo Magalh�es de Souza-Lima, Beatriz C. Todt, Najla Braz da Silva Vaz, Three versions of an atopic dermatitis case report written by humans, artifi

Evaluation of GPT-4-Turbo (GPT series) — Content for atopic dermatitis case report, RES
Condition/subject: Atopic dermatitis (English)
Category: Medical Records and Diagnostic Processes. — Professional Education
Validity/accuracy: 82.00% (sample size: 12)
Comments: 12 residents

Evaluation of GPT-4-Turbo (GPT series) — Content for atopic dermatitis case report, EXP
Condition/subject: Atopic dermatitis (English)
Category: Medical Records and Diagnostic Processes. — Professional Education
Validity/accuracy: 74.00% (sample size: 19)
Comments: 19 experts

Evaluation of GPT-4-Turbo (GPT series) — Atopic dermatitis case report, overall quality, Total score
Condition/subject: Atopic dermatitis (English)
Category: Medical Records and Diagnostic Processes. — Professional Education
Validity/accuracy: 80.00% (sample size: 48)
Comments: COM received the highest content quality scores, followed by HUM and AI. The average grade was calculated based on the 48 individual scores provided by the participants.48 individuals consisted of STU (Students): 17 participants; RES (Residents): 12 participants; EXP (Experts): 19 participants. Participants favored AI-assisted versions (AI and COM) over HUM (P < .001), with COM receiving the highest quality scores. COM and AI achieved 83.8% and 84.3% reduction in writing time, respectively, compared to HUM, while showing 13.9% (P < .001) and 11.1% improvement in quality (P < .001), respectively. However, experts assigned the lowest score for the references of the AI manuscript.
Dataset: Atopic dermatitis case report written by ChatGPT-4 turbo (AI) compared with the same case report written by two human experts (both with MD and PhD degrees), and written by humans assisted with AI (COM). The survey assessed authorship, ranked their preference, and graded 13 quality criteria for each text. 
Reference (2025): Mara Giavina Bianchi, Andrew D�adario, Pedro Giavina Bianchi, Birajara Soares Machado, Rosana Agondi, Stephanie K.A. Almeida, Wandilson Xavier Alves Junior, Larissa M. Armelin, Marcelo Vivolo Aun, Nat�lia Bordignon, Karla Boufleur, Felipe B. Brunheroto, Elisabeth A. Callegaro, Paula Lazaretti M. Castro, Herberto Jose Chong-Neto, Mariana D. Dall�Osto, Julia Abou Dias, Viviane Heintze Ferreira, Andr� Luiz Oliveira Feodrippe, Livia G. Fonseca, Clycia M. Garcia, Bruna H. Giavina-Bianchi, Ekaterini Goudouris, Danilo Gois Gon�alves, Debora D. Hernandes, Malek Imad, Larissa S. Izabel, Lucas Cau� Jacintho, Carolina Khouri-Panzarin, Fabio Kuschnir, Maria Beatriz P�dua Lima, Amanda I. Lopes, Larissa Nathalia Mac�do N�brega Lopes, Alice Rocha de Magalh�es, Eli Mansour, Ana Karolina B.B. Marinho, Vivian S. Martimiano, Pedro H. Milori, Antonio Marcondes Mutarelli, Guilherme Paes Gon�alves Nogueira, Beatriz K.T. Oguido, Bruna S. Alarcon de Oliveira, Emerson Costa de Oliveira, Georgia A. Padulla, Let�cia D�Ordaz Lhano Santos, Micaelly Samara Meneses Santos, Emanuel Sarinho, Marcela Schoen, Brian Lucas A. Sousa, Eduardo Magalh�es de Souza-Lima, Beatriz C. Todt, Najla Braz da Silva Vaz, Three versions of an atopic dermatitis case report written by humans, artifi

Evaluation of GPT-4-Turbo (GPT series) — Atopic dermatitis case report, overall quality, STU
Condition/subject: Atopic dermatitis (English)
Category: Medical Records and Diagnostic Processes. — Professional Education
Validity/accuracy: 88.00% (sample size: 17)
Comments: 17 students

Evaluation of GPT-4-Turbo (GPT series) — Atopic dermatitis case report, overall quality, RES
Condition/subject: Atopic dermatitis (English)
Category: Medical Records and Diagnostic Processes. — Professional Education
Validity/accuracy: 82.00% (sample size: 12)
Comments: 12 residents

Evaluation of GPT-4-Turbo (GPT series) — Atopic dermatitis case report, overall quality, EXP
Condition/subject: Atopic dermatitis (English)
Category: Medical Records and Diagnostic Processes. — Professional Education
Validity/accuracy: 74.00% (sample size: 19)
Comments: 19 experts