Clinical trial NCT06986564: Evaluation of Decision Compatibility Between a Multidisciplinary Cancer Board and ChatGPT-4O
Official title: Agreement Between Multidisciplinary Cancer Board Decisions and ChatGPT-4O in Clinical Decision-Making: A Cross-Sectional Observational Study
Study type: OBSERVATIONAL
Overall status: COMPLETED
Conditions: Cancer
Artificial Intelligence
Keywords: Clinical decision agreement study
Cancer
Artificial intelligence
Lead sponsor: Yuzuncu Yıl University
Sponsor class: OTHER
First posted: 2025-05-23
Enrollment: 100
Sex: ALL
Minimum age (years): 18
Standard ages: ADULT
OLDER_ADULT
Accepts healthy volunteers: no
Observational model: OTHER
Time perspective: PROSPECTIVE
Sampling method: NON_PROBABILITY_SAMPLE
Study population: A total of 100 cancer patients presented to the multidisciplinary cancer board will be included in the study. Patient data, including age, gender, comorbidities, clinical findings, laboratory results, radiology, and pathology reports, will be systematically recorded and reformatted into text suitable for the ChatGPT-4O model. The AI model's decisions will then be compared to those made by the cancer board. Statistical analyses will be performed to quantify the level of agreement between the two decision sources.

Brief summary: This study aims to compare the decisions of a multidisciplinary cancer board at Van research and educational Hospital with those generated by ChatGPT-4O. Patient data, including age, gender, comorbidities, clinical findings, laboratory results, radiology, and pathology reports, will be collected and recorded in patient files. These records will then be converted into a textual format appropriate for input into the ChatGPT-4O model. Statistical analyses will be conducted to assess the level of agreement between the board's decisions and those of ChatGPT-4O, providing insights into their compatibility and potential utility in clinical practice.

Detailed description: This study aims to evaluate the agreement between decisions made by a multidisciplinary cancer board at Van Hospital and those generated by the ChatGPT-4O model.

A total of 100 cancer patients presented to the multidisciplinary cancer board will be included in the study. Patient data, including age, gender, comorbidities, clinical findings, laboratory results, radiology, and pathology reports, will be systematically recorded and reformatted into text suitable for the ChatGPT-4O model. The AI model's decisions will then be compared to those made by the cancer board. Statistical analyses will be performed to quantify the level of agreement between the two decision sources.

The findings will provide insights into the compatibility between human-led multidisciplinary decisions and AI-driven recommendations, highlighting areas of agreement and disagreement.

This study will assess the potential utility of ChatGPT-4O in clinical oncology decision-making and explore whether AI models can support or complement traditional cancer board processes.

Eligibility criteria: Inclusion Criteria:

* above 18 y/o
* patients diagnosed with malignancy

Exclusion Criteria:

* patients who refused to consent

Primary outcomes:
measure: to evaluate the agreement between decisions made by a multidisciplinary cancer board and those generated by the ChatGPT-4O model using kappa statistics.
timeFrame: 4 month
Secondary outcomes:
Other outcomes:
Locations:
city: Van
country: Turkey
facility: Van state hospital, general surgery department
Study officials:
affiliation: General surgery department chief
name: Sebahattin Çelik, professor
role: STUDY_DIRECTOR
References: