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

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.

Completed

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Key information

Conditions

Cancer Artificial Intelligence Neoplasms

Age range

18 year and older

Sex eligibility

All sexes

Study type

Observational

Primary location

Van state hospital, general surgery department

Van, 6500, Turkey (Türkiye)

About this study

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.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

above 18 y/o
patients diagnosed with malignancy

Exclusion criteria

patients who refused to consent

Treatment and study plan

Primary outcomes

to evaluate the agreement between decisions made by a multidisciplinary cancer board and those generated by the ChatGPT-4O model using kappa statistics.

Time frame: 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.

Sponsors and collaborators

Lead sponsor

Sebahattin Celik MD

Other

Registry information

Official study title

Agreement Between Multidisciplinary Cancer Board Decisions and ChatGPT-4O in Clinical Decision-Making: A Cross-Sectional Observational Study

Important dates

Study start: 2024
Primary completion: 2025
Study completion: 2025
First posted: May 23, 2025
Registry last updated: May 23, 2025

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

Published trials that share one or more normalized conditions with this study.

Completed