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Dataset Information

Evaluating ChatGPT responses in the context of a 53-year-old male with a femoral neck fracture: a qualitative analysis.


ABSTRACT:

Purpose

The integration of artificial intelligence (AI) tools, such as ChatGPT, in clinical medicine and medical education has gained significant attention due to their potential to support decision-making and improve patient care. However, there is a need to evaluate the benefits and limitations of these tools in specific clinical scenarios.

Methods

This study used a case study approach within the field of orthopaedic surgery. A clinical case report featuring a 53-year-old male with a femoral neck fracture was used as the basis for evaluation. ChatGPT, a large language model, was asked to respond to clinical questions related to the case. The responses generated by ChatGPT were evaluated qualitatively, considering their relevance, justification, and alignment with the respo

SUBMITTER: Zhou Y 

PROVIDER: S-EPMC10858115 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature