Applications of artificial intelligence in orthopaedic surgery

• Published in: Frontiers in medical technology Vol. 4; p. 995526
• Main Authors: Farhadi, Faraz, Barnes, Matthew R., Sugito, Harun R., Sin, Jessica M., Henderson, Eric R., Levy, Joshua J.
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Media S.A 15.12.2022
• Subjects: artificial intelligence; deep learning; machine learning; Medical Technology; Orthopaedic Surgery; Orthopaedics; deep learning; machine learning; Orthopaedic Surgery; artificial intelligence; Orthopaedics
• ISSN: 2673-3129; 2673-3129
• DOI: 10.3389/fmedt.2022.995526

The practice of medicine is rapidly transforming as a result of technological breakthroughs. Artificial intelligence (AI) systems are becoming more and more relevant in medicine and orthopaedic surgery as a result of the nearly exponential growth in computer processing power, cloud based computing, and development, and refining of medical-task specific software algorithms. Because of the extensive role of technologies such as medical imaging that bring high sensitivity, specificity, and positive/negative prognostic value to management of orthopaedic disorders, the field is particularly ripe for the application of machine-based integration of imaging studies, among other applications. Through this review, we seek to promote awareness in the orthopaedics community of the current accomplishments and projected uses of AI and ML as described in the literature. We summarize the current state of the art in the use of ML and AI in five key orthopaedic disciplines: joint reconstruction, spine, orthopaedic oncology, trauma, and sports medicine.