Evaluation of Decision Compatibility Between a Multidisciplinary Cancer Board and ChatGPT-4O

Completed

• Conditions: Cancer; Artificial Intelligence

• Registration Number: NCT06986564
• Lead Sponsor: Sebahattin Celik MD

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.

Study Timeline

• Study Start: 2024-11-01
• Study First Submitted: 2024-12-20
• Primary Completion: 2025-01-30
• Status Verified: 2025-05
• Study Completion: 2025-05-01
• Study First Submitted QC: 2025-05-22
• Last Update Submitted: 2025-05-22
• Study First Posted: 2025-05-23
• Last Update Posted: 2025-05-23

Recruitment & Eligibility

• Status: COMPLETED
• Sex: All
• Target Recruitment: 100

Inclusion Criteria

• above 18 y/o
• patients diagnosed with malignancy

Exclusion Criteria

• patients who refused to consent

Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
to evaluate the agreement between decisions made by a multidisciplinary cancer board and those generated by the ChatGPT-4O model using kappa statistics.	4 month	Within the scope of this research, we aimed to elucidate the compatibility of artificial intelligence with the decisions made in patients brought to the multidisciplinary tumor council. We sought to answer whether we can accept artificial intelligence as a new member, other than humans, as a decision-support tool in the council.

Trial Locations

Locations (1)

Van state hospital, general surgery department; 🇹🇷 Van, Turkey