Farhadi Faraz, Barnes Matthew R, Sugito Harun R, Sin Jessica M, Henderson Eric R, Levy Joshua J
Geisel School of Medicine, Dartmouth College, Hanover, NH, United States.
Radiology and Imaging Sciences, National Institutes of Health (NIH), Bethesda, United States.
Front Med Technol. 2022 Dec 15;4:995526. doi: 10.3389/fmedt.2022.995526. eCollection 2022.
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.
由于技术突破,医学实践正在迅速转变。由于计算机处理能力、云计算以及医学任务特定软件算法的开发和完善几乎呈指数级增长,人工智能(AI)系统在医学和骨科手术中变得越来越重要。由于医学成像等技术在骨科疾病管理中具有高灵敏度、特异性以及阳性/阴性预后价值等广泛作用,该领域尤其适合应用基于机器的成像研究整合以及其他应用。通过本综述,我们旨在提高骨科界对文献中所述人工智能和机器学习的当前成就及预期用途的认识。我们总结了机器学习和人工智能在五个关键骨科领域的应用现状:关节重建、脊柱、骨肿瘤、创伤和运动医学。