The use of Artificial Intelligence (AI) in Orthopedic


  • Asep Santoso Division of Adult Reconstructive Surgery and Sports Injury, Prof. Dr. R. Soeharso Orthopaedic Hospital, Surakarta, Indonesia



Artificial Intelligence (AI) in Orthopedic


Artificial Intelligence (AI) has become a significant area of interest in orthopedic surgery research, with a focus on enhancing clinical decision making, improving patient outcomes, and optimizing surgical procedures. The integration of AI into orthopedics encompasses various applications, including image analysis, predictive modelling, patient monitoring, and the development of intelligent systems for surgery and rehabilitation. AI's role in clinical image analysis is one of the most prominent areas of research. Machine learning algorithms, particularly neural networks, have been developed to detect and classify fractures from imaging data. These systems have the potential to improve the detection of subtle fractures and ensure that injuries are not overlooked, especially in patients with multiple traumas.1 However, it is crucial to recognize that AI does not possess "intelligence" in the conventional
sense; it statistically predicts the presence of what it is trained to find within an image.


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