Publications by authors named "Abdullah Faruk Uyanık"

Background: Artificial intelligence has been shown to achieve successful outcomes in various orthopedic qualification examinations worldwide. This study aims to assess the performance of ChatGPT in the written section of the Turkish Orthopedics and Traumatology Board Examination, compare its results with those of candidates who took the exam, and determine whether ChatGPT is sufficient to achieve a passing score.

Methods: This retrospective observational study evaluated whether ChatGPT achieved a passing grade on 400 publicly available questions from the Turkish orthopedics qualification exam over the past four years.

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We evaluated the accuracy of the predictive injury sequences of the Lauge-Hansen (L-H) classification using magnetic resonance imaging (MRI) in patients with ankle fractures and determined the possible causes of mismatch. Sixty-five patients with ankle fractures who had a complete series of anteroposterior, lateral, and oblique radiographs and ankle MRI studies available were included. The fracture pattern was assigned by 2 senior orthopedic surgeons according to the L-H classification system.

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