Analysis of Large Language Model Decision Making in Hormone Receptor–Positive/Human Epidermal Growth Factor Receptor 2–Negative Early Breast Cancer

Puntos clave

• To evaluate the decision-making capabilities of a large language model in early breast cancer treatment recommendations.
• Compared GPT-4o recommendations with clinician opinions pretest and post-test.
• Assessed the accuracy of multigene testing recommendations.
• Analyzed the agreement levels between clinicians and the model.
• Modest pretest agreement between clinicians and GPT-4o.
• Post-test agreement significantly improved.
• Highlights the potential role of AI in enhancing clinical decision-making.