AI-Generated Graduate Medical Education Content for Total Joint Arthroplasty: Comparing ChatGPT Against Orthopaedic Fellows.

Autor: DeCook R; Philadelphia College of Osteopathic Medicine, Swannee, GA, USA., Muffly BT; Department of Orthopaedic Surgery, Emory University School of Medicine, Atlanta, GA, USA., Mahmood S; Department of Orthopaedic Surgery, Emory University School of Medicine, Atlanta, GA, USA., Holland CT; Department of Orthopaedic Surgery, Duke University School of Medicine, Durham, NC, USA., Ayeni AM; Department of Orthopaedic Surgery, Emory University School of Medicine, Atlanta, GA, USA., Ast MP; Hospital for Special Surgery, New York, NY, USA., Bolognese MP; Department of Orthopaedic Surgery, Duke University School of Medicine, Durham, NC, USA., Guild GN 3rd; Department of Orthopaedic Surgery, Emory University School of Medicine, Atlanta, GA, USA., Sheth NP; Department of Orthopaedic Surgery, Perelman School of Medicine, Philadelphia, PA, USA., Pean CA; Department of Orthopaedic Surgery, Duke University School of Medicine, Durham, NC, USA., Premkumar A; Department of Orthopaedic Surgery, Emory University School of Medicine, Atlanta, GA, USA.
Jazyk: angličtina
Zdroj: Arthroplasty today [Arthroplast Today] 2024 Jun 04; Vol. 27, pp. 101412. Date of Electronic Publication: 2024 Jun 04 (Print Publication: 2024).
DOI: 10.1016/j.artd.2024.101412
Abstrakt: Background: Artificial intelligence (AI) in medicine has primarily focused on diagnosing and treating diseases and assisting in the development of academic scholarly work. This study aimed to evaluate a new use of AI in orthopaedics: content generation for professional medical education. Quality, accuracy, and time were compared between content created by ChatGPT and orthopaedic surgery clinical fellows.
Methods: ChatGPT and 3 orthopaedic adult reconstruction fellows were tasked with creating educational summaries of 5 total joint arthroplasty-related topics. Responses were evaluated across 5 domains by 4 blinded reviewers from different institutions who are all current or former total joint arthroplasty fellowship directors or national arthroplasty board review course directors.
Results: ChatGPT created better orthopaedic content than fellows when mean aggregate scores for all 5 topics and domains were compared (P ≤ .001). The only domain in which fellows outperformed ChatGPT was the integration of key points and references ( P  = .006). ChatGPT outperformed the fellows in response time, averaging 16.6 seconds vs the fellows' 94 minutes per prompt ( P  = .002).
Conclusions: With its efficient and accurate content generation, the current findings underscore ChatGPT's potential as an adjunctive tool to enhance orthopaedic arthroplasty graduate medical education. Future studies are warranted to explore AI's role further and optimize its utility in augmenting the educational development of arthroplasty trainees.
(© 2024 Published by Elsevier Inc. on behalf of The American Association of Hip and Knee Surgeons.)
Databáze: MEDLINE
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