Evaluating the potential of ChatGPT for patient identification in clinical breast cancer trials.

ABSTRACT:

Objective

Growing complexity of oncological treatment is reflected in the requirements for current clinical trials, challenging clinical sites with recruiting suitable participants. This cross-sectional study evaluates the potential of artificial intelligence (AI), based on the example of ChatGPT-4.0, in identifying suitable study participants among patients with breast cancer, utilizing real-world tumor board data.

Methods

ChatGPT-4.0 was trained on six fictitious study protocols for patients with breast cancer, mimicking real-world clinical trial scenarios. Anonymized data from 124 tumor board registrations from January 2024 were submitted to the AI to determine eligibility for study participation. A clinician control group also assessed the patients' eligibility. The eval

SUBMITTER: Kruckel A 

PROVIDER: S-EPMC12639235 | biostudies-literature | 2025 Jan-Dec

REPOSITORIES: biostudies-literature