ChatGPT provides acceptable responses to patient questions regarding common shoulder pathology.

ABSTRACT:

Background

ChatGPT is rapidly becoming a source of medical knowledge for patients. This study aims to assess the completeness and accuracy of ChatGPT's answers to the most frequently asked patients' questions about shoulder pathology.

Methods

ChatGPT (version 3.5) was queried to produce the five most common shoulder pathologies: biceps tendonitis, rotator cuff tears, shoulder arthritis, shoulder dislocation and adhesive capsulitis. Subsequently, it generated the five most common patient questions regarding these pathologies and was queried to respond. Responses were evaluated by three shoulder and elbow fellowship-trained orthopedic surgeons with a mean of 9 years of independent practice, on Likert scales for accuracy (1-6) and completeness (rated 1-3).

Results

For al

SUBMITTER: Ghilzai U 

PROVIDER: S-EPMC11559869 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature