Exploring the potential of AI-powered applications for clinical decision-making in gynecologic oncology.

ABSTRACT:

Objective

The rise of artificial intelligence (AI) and large language models like Llama, Gemini, or Generative Pretraining Transformer (GPT) signals a promising new era in natural language processing and has significant potential for application in medical care. This study seeks to investigate the potential of GPT-4 for automated therapy recommendations by examining individual patient health record data with a focus on gynecologic malignancies and breast cancer.

Methods

We tasked GPT-4 with generating independent treatment proposals for 60 randomly selected patient cases presented at gynecologic and senologic multidisciplinary tumor boards (MDTs). The treatment recommendations by GPT-4 were compared with those of the MDTs using a novel clinical concordance score and were rev

SUBMITTER: Meyer B 

PROVIDER: S-EPMC12553098 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature