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Abstract Clinical guidelines may sometimes contain divergent treatment recommendations, creating uncertainty in therapeutic decision-making. To evaluate the performance of four large language models (LLMs) (GPT-4o, Claude 3.7 Sonnet, Gemini 1.5 Pro, Deepseek-V3) in analyzing discrepancies between the American Society of Clinical Oncology (ASCO) and the National Comprehensive Cancer Network (NCCN) immune checkpoint inhibitors (ICIs) guidelines.
As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.