Divisions of Adult Reconstruction (T.G.M. and B.F.R.) and Hand and Upper Extremity Surgery (C.K.), Department of Orthopaedics and Rehabilitation, University of Rochester Medical Center, Rochester, New York.
Machine Learning Arthroplasty Laboratory, Cleveland Clinic Foundation, Cleveland, Ohio.
J Bone Joint Surg Am. 2020 May 6;102(9):830-840. doi: 10.2106/JBJS.19.01128.
➤. Artificial intelligence (AI) provides machines with the ability to perform tasks using algorithms governed by pattern recognition and self-correction on large amounts of data to narrow options in order to avoid errors. ➤. The 4 things necessary for AI in medicine include big data sets, powerful computers, cloud computing, and open source algorithmic development. ➤. The use of AI in health care continues to expand, and its impact on orthopaedic surgery can already be found in diverse areas such as image recognition, risk prediction, patient-specific payment models, and clinical decision-making. ➤. Just as the business of medicine was once considered outside the domain of the orthopaedic surgeon, emerging technologies such as AI warrant ownership, leverage, and application by the orthopaedic surgeon to improve the care that we provide to the patients we serve. ➤. AI could provide solutions to factors contributing to physician burnout and medical mistakes. However, challenges regarding the ethical deployment, regulation, and the clinical superiority of AI over traditional statistics and decision-making remain to be resolved.
➤. 人工智能（AI）使机器能够使用算法执行任务，这些算法受大量数据的模式识别和自我修正控制，以缩小选项范围，从而避免错误。 ➤. 医学人工智能需要具备四个要素：大数据集、强大的计算机、云计算和开源算法开发。 ➤. 人工智能在医疗保健中的应用不断扩大，其对骨科手术的影响已经可以在图像识别、风险预测、患者特定的支付模式和临床决策等多个领域中找到。 ➤. 正如医学业务曾经被认为不属于骨科医生的领域一样，像人工智能这样的新兴技术需要由骨科医生来拥有、利用和应用，以提高我们为服务的患者提供的护理。 ➤. AI 可以为导致医生倦怠和医疗错误的因素提供解决方案。但是，在 AI 的伦理部署、监管以及相对于传统统计学和决策制定的临床优越性方面，仍然存在挑战需要解决。
