Ortopedi ve Travmatolojide Yapay Zeka Uygulamaları

Abstract

Looking at the published studies about artificial intelligence in orthopedics, it is seen that fracture recognition and joint degeneration classification systems from X-ray are very popular. The main reason for this situation is that orthopedists often decide to only look at the x-ray in the diagnosis of these diseases. In addition, the easier processing of X-ray radiography compared to magnetic resonance imaging and computed tomography images increase the interest in these issues. Studies show the potential of making a diagnosis better than non-orthopedic physicians and almost closer to an orthopedic surgeon in the decisions made by the developed algorithms. Artificial intelligence applications are promising not only in the field of image-oriented diagnosis, but also in the field of preoperative evaluation, management of postop follow-up processes, increasing patient satisfaction, and providing cost-effective personal solutions, making the use of resources more efficient. In the near future, with the use of natural language processing techniques, it is possible that systems that listen to the patient and interpret the reports will also enter our lives.

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