Abstract Background Hip arthroscopy remains a technically demanding procedure with a substantial learning curve. Developing surgical proficiency through increased caseload is critical for optimizing efficiency and refining training programs. The purpose of this study was to evaluate a single surgeon’s initial learning...
Karter Morris, Gabriel Embree, A. Tiemann et al.· Journal of Hip Preservation...· 0 citations
PURPOSE
Artificial intelligence (AI) is increasingly utilized in medical education and clinical contexts, yet few studies compare the performance of large language models (LLMs) to subspecialized experts in providing guideline-based medical information on hip preservation. The purpose of this study was to evaluate the...
Karter Morris, F. Öttl, James A. Pruneski et al.· Knee Surgery, Sports Traumat...· 0 citations
Evaluating the performance of three AI platforms versus a panel of international hip preservation experts in answering guideline-based questions related to femoroacetabular impingement syndrome, hip dysplasia, and microinstability of the hip shows that the knowledge of AI is rapidly approaching and/or exceeding that of...
Karter Morris, F. Öttl, James A. Pruneski et al.· Journal of Hip Preservation...· 0 citations
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