Evaluation of the accuracy of large language models in answering bone cancer-related questions.

ABSTRACT:

Introduction

Large Language Models (LLMs) excel at understanding medical terminology, parsing unstructured clinical data, and generating contextually relevant insights, emerging as transformative healthcare tools. Three leading LLMs-Deepseek, ChatGPT, and Grok-show great potential for medical education, clinical decision-making, and patient care. Bone cancer includes diverse primary and metastatic tumors, each with distinct diagnostic criteria, treatment pathways, and prognoses. Based on this guideline, this study assesses the accuracy of Deepseek V3.1, ChatGPT 5, and Grok 4 in addressing bone cancer-related questions.

Methods

Based on the clinical guidelines for bone cancer released by the NCCN in April 2025, 52 questions related to bone cancer were developed. Researchers p

SUBMITTER: Pan Q 

PROVIDER: S-EPMC12715015 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature