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McMaster, Brandon

Mayo Clinic

Mayo Clinic

Citations 2

AAOS OrthoInfo provides more accessible information regarding femoroacetabular impingement than ChatGPT-4 while information accuracy is comparable
Sasaki, Jared , Hand, Catherine, Feroe, Aliya G. , McMaster, Brandon, Lu, Yining , Forsythe, Brian, Okoroha, Kelechi R. , Hassan, Mahad M. , Forsythe, Brian , Forsythe, Brian , Hand, Catherine , Ulrich, Marisa N.

Journal of Hip Preservation Surgery | January 13, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1093/jhps/hnag001 Get It

Abstract As artificial intelligence (AI) Large Language Models (LLM) like ChatGPT become more common in healthcare, patients increasingly use them to find medical information. While ChatGPT may support health literacy, its readability and accuracy compared to established resources remain unclear. The purpose of this study is to evaluate ChatGPT-4 responses on femoroacetabular impingement (FAI) and its surgical management compared to AAOS OrthoInfo content. We hypothesize that ChatGPT may deliver medically accurate information, but its readability may fall short when compared to OrthoInfo. Nine questions based on the OrthoInfo FAI page were submitted to ChatGPT-4, with and without a readability prompt. Topics included anatomy, pathology, cause, symptoms, workup, imaging, treatment, role of hip arthroscopy, and outcomes. Readability was assessed using validated indices. Accuracy was independently rated using a 4-point scale. Statistical comparisons were made using t-tests and ANOVA (P < 0.01 threshold). OrthoInfo content had a mean reading grade level of 8.0 and a Flesch Reading Ease score of 60.7. Unprompted ChatGPT responses were significantly less readable (grade level 16.2; Flesch score 21.7; P < 0.001). Prompting for readability improved ChatGPT outputs (grade level 10.6; Flesch score 58.2), making them comparable to OrthoInfo (P < 0.09). Accuracy was high across all sources, though OrthoInfo's response on FAI causes scored slightly lower (3.5 versus 4.0; P < 0.46). ChatGPT provides accurate information on FAI. However, without prompting, its complexity may hinder patient understanding. Prompting for readability enables ChatGPT to match established resources like OrthoInfo. Tailored prompting is key to using LLM effectively in patient education and promoting health literacy.
Hip Arthroscopic Labral Repair With Transcapsular Suture Passage for Medial Capsular Preservation
McMaster, Brandon, Cabarcas, Brandon C. , Ina, Jason , Iyer, Sanathan, Krych, Aaron J. , Hevesi, Mario , Cabarcas, Brandon , Iyer, Sanathan , Krych, Aaron J , Hevesi, Mario , Ina, Jason G , Iyer, Sanathan

Arthroscopy Techniques | May 22, 2025 | Volume: 14 | Issue: 7 | Pages: No page available

10.1016/j.eats.2025.103647 Get It

Abstract As the prevalence of hip arthroscopy increases, management of capsular defects as well as capsulotomy closure has increasingly been recognized for their impact on recurrent symptoms in the young athletic hip. Several recent studies have shown that capsular closure at the time of primary hip arthroscopy improves both short‐ and long‐term patient‐reported outcomes, revision rates, and conversion to arthroplasty. Specifically, capsular insufficiency is a source of recurrent pain and microinstability. In this context, far medial labral tears pose a challenge for suture fixation, given the historic need of extending the interportal capsulotomy to obtain adequate trajectory for suture anchors and subsequent passage. Given the suboptimal stability consequences of extending the capsulotomy medially, here we present a novel approach for suture fixation of the medial labrum. This technique provides an effective method for suture fixation of the medial labrum, without necessitating extension of the interportal capsulotomy. Technique Video video See video under supplementary data.