Introduced in 1963, the orthopaedic in-training examination (OITE) is a standardized, national test administered annually to orthopaedic residents by the American Academy of Orthopaedic Surgeons. The examination consists of 275 multiple-choice questions that cover 11 domains of orthopaedic knowledge, including basic science, foot and ankle, hand, hip and knee, oncology, pediatrics, shoulder and elbow, spine, sports medicine, trauma, and practice management. The OITE has been validated and is considered predictive of success in both orthopaedic surgery residency and on the American Board of Orthopaedic Surgery part I examination. This article provides a historical overview of the OITE, details its current structure and scoring system, and reviews currently available study materials. For examination preparation, the residents are encouraged to (1) start the examination preparation early, (2) practice on old OITE or self-assessment examination questions, (3) focus on the questions answered incorrectly, (4) focus on comprehension over memorization, and (5) recognize and avoid burnout. Finally, the residents should have a systemic way of approaching each multiple-choice question, both during practice and on the actual examination.
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Aims: The aim of this study was to explore differences in operative autonomy by trainee gender during orthopaedic training in Ireland and the UK, and to explore differences in operative autonomy by trainee gender with regard to training year, case complexity, index procedures, and speciality area.
Methods: This retrospective cohort study examined all operations recorded by orthopaedic trainees in Ireland and the UK between July 2012 and July 2022. The primary outcome was operative autonomy, which was defined as the trainee performing the case without the supervising trainer scrubbed.
Purpose: Chat Generative Pre-Trained Transformer (ChatGPT) may have implications as a novel educational resource. There are differences in opinion on the best resource for the Orthopaedic In-Training Exam (OITE) as information changes from year to year. This study assesses ChatGPT's performance on the OITE for use as a potential study resource for residents.
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- The study examined the epidemiology and risk factors for ACL injuries in handball, hypothesizing that the injury rates are high, akin to other sports like football.
- A total of 84 ACL injuries were reported over six seasons, with a notable 46.3% being re-ruptures; higher injury rates were found in the first division compared to the second division.
- Key risk factors identified include previous knee injuries and increased time spent in matches, indicating a significant concern for professional handball players.
Comparing Large Language Model and Human Reader Accuracy with Image Challenge Case Image Inputs.
Radiology
December 2024
From the Department of Radiology, Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, Republic of Korea (P.S.S.); Department of Radiology and Research Institute of Radiology (W.H.S., C.H.S., K.J.P., P.H.K., S.J.C., Y.A., S.P., H.Y.P., N.E.O.), Department of Medical Science, Asan Medical Institute of Convergence Science and Technology (W.H.S., H.H.), and Department of Internal Medicine (C.Y.W.), Asan Medical Center, University of Ulsan College of Medicine, Olympic-ro 33, Songpa-gu, 05505 Seoul, Republic of Korea; University of Ulsan College of Medicine, Seoul, Republic of Korea (M.W.H.); Department of Orthopaedic Surgery, Seoul Seonam Hospital, Republic of Korea (S.T.C.); and Department of Pulmonary and Critical Care Medicine, Gumdan Top Hospital, Incheon, Republic of Korea (H.P.).
Background Application of multimodal large language models (LLMs) with both textual and visual capabilities has been steadily increasing, but their ability to interpret radiologic images is still doubted. Purpose To evaluate the accuracy of LLMs and compare it with that of human readers with varying levels of experience and to assess the factors affecting LLM accuracy in answering Image Challenge cases. Materials and Methods Radiologic images of cases from October 13, 2005, to April 18, 2024, were retrospectively reviewed.
View Article and Find Full Text PDFThe Role of Virtual Reality in Training Orthopaedic Surgery Residents.
JBJS Rev
December 2024
Department of Orthopaedic Surgery and Rehabilitation, Loyola University Medical Center, Maywood, Illinois.
» Virtual reality (VR) is increasingly used across surgical specialties in training, offering a safe, immersive environment for skill development.» Studies show that VR significantly improves surgical performance making it an effective training tool for orthopaedic residents; however, effects may be more pronounced in junior trainees and may not be seen in senior trainees or attendings.» As VR technology evolves, it promises broader applications in surgical training, though further research is needed to establish its superiority over traditional methods.
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