Cross-sectional study reveals satisfactory ChatGPT responses to total shoulder arthroplasty inquiries, indicating potential to supplement collaborative decision-making.
Key Points
Artificial intelligence produced satisfactory answers to total shoulder arthroplasty questions, although the information required moderate clarification for full clinical clarity.
A mean DISCERN score of 46.60 established fair accuracy, while Flesch-Kincaid grade level evaluations indicated texts were pitched at a difficult college-graduate reading level.
Cross-sectional study analysis indicates these tools may assist total shoulder arthroplasty education, but they should supplement rather than replace experienced orthopedic surgeons.