Yapay Zekanın Ortopedik Cerrahideki Yeri

Nowadays, interest in artificial intelligence in the field of health is increasing. In published studies on artificial intelligence in orthopaedic surgery, systems for fracture diagnosis and classification of degeneration through X-ray radiography are widely used. The main reason for this is that orthopaedists usually take X-ray radiographs into account when making a diagnosis. Another reason is that X-rays are easier to process than magnetic resonance imaging and computed tomography images. Studies conducted with X-rays show that the artificial intelligence and algorithms developed have high accuracy rates compared to non-orthopaedic physicians, especially in the field of imaging and diagnosis, and in some cases reach a diagnostic potential similar to orthopaedic surgeons. Artificial intelligence applications contribute not only in image-oriented diagnosis but also in preoperative evaluation, management of postoperative follow-up processes, improvement of patient satisfaction and more efficient use of resources by providing cost-effective personalised solutions. In the near future, with the effective use of natural language processing techniques, it may be possible to integrate systems that listen to the patient and interpret reports into healthcare services. Computer navigation, robotics and three-dimensional digital planning are used in many parts of the world. Advances in computer processing capacity and the emergence of software algorithms, together with the development of progressive thinking, have started to investigate medical and orthopaedic surgery and artificial intelligence systems. Today, the areas of use of artificial intelligence in orthopaedics are radiological image processing, natural language processing and surgical decision support systems. In this review, the purpose of using artificial intelligence in orthopaedic surgery is discussed.