Your browser doesn't support javascript.
loading
Applications of artificial intelligence in orthopaedic surgery.
Farhadi, Faraz; Barnes, Matthew R; Sugito, Harun R; Sin, Jessica M; Henderson, Eric R; Levy, Joshua J.
Afiliação
  • Farhadi F; Geisel School of Medicine, Dartmouth College, Hanover, NH, United States.
  • Barnes MR; Radiology and Imaging Sciences, National Institutes of Health (NIH), Bethesda, United States.
  • Sugito HR; Geisel School of Medicine, Dartmouth College, Hanover, NH, United States.
  • Sin JM; Geisel School of Medicine, Dartmouth College, Hanover, NH, United States.
  • Henderson ER; Department of Radiology, Dartmouth Health, Lebanon, United States.
  • Levy JJ; Department of Orthopaedics, Dartmouth Health, Lebanon, United States.
Front Med Technol ; 4: 995526, 2022.
Article em En | MEDLINE | ID: mdl-36590152
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.
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article