Assessing the accuracy of the GPT-4 model in multidisciplinary tumor board decision prediction.

ABSTRACT:

Purpose

Artificial intelligence models like GPT-4 (OpenAI) have the potential to support clinical decision-making in oncology. This study aimed to assess the consistency between multidisciplinary tumor board (MTB) decisions and GPT-4 model predictions in cancer patient management.

Patients and methods

A cross-sectional study was conducted involving patients aged ≥ 18 years with definite or suspicious cancer diagnoses presented at MTBs in Ankara University Hospitals, Türkiye, from February 2021 to June 2023. GPT-4 was utilized to generate treatment recommendations based on case summaries. Three independent raters evaluated the compatibility between MTB decisions and GPT-4 predictions using a 4-point Likert scale. Cases with mean compatibility scores equal to or below 2 were r

SUBMITTER: Erdat EC 

PROVIDER: S-EPMC12399707 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature