Mickley John P, Kaji Elizabeth S, Khosravi Bardia, Mulford Kellen L, Taunton Michael J, Wyles Cody C
Orthopedic Surgery Artificial Intelligence Laboratory (OSAIL), Department of Orthopedic Surgery, Mayo Clinic, Rochester, MN, USA.
Radiology Informatics Lab (RIL), Department of Radiology, Mayo Clinic, Rochester, MN, USA.
Arthroplast Today. 2024 Jun 27;27:101396. doi: 10.1016/j.artd.2024.101396. eCollection 2024 Jun.
Hip and knee arthroplasty are high-volume procedures undergoing rapid growth. The large volume of procedures generates a vast amount of data available for next-generation analytics. Techniques in the field of artificial intelligence (AI) can assist in large-scale pattern recognition and lead to clinical insights. AI methodologies have become more prevalent in orthopaedic research. This review will first describe an overview of AI in the medical field, followed by a description of the 3 arthroplasty research areas in which AI is commonly used (risk modeling, automated radiographic measurements, arthroplasty registry construction). Finally, we will discuss the next frontier of AI research focusing on model deployment and uncertainty quantification.
髋关节和膝关节置换术是大量开展且正在迅速增长的手术。大量的手术产生了大量可用于下一代分析的数据。人工智能(AI)领域的技术可以协助进行大规模模式识别并带来临床见解。AI方法在骨科研究中已变得更加普遍。本综述将首先描述医学领域中AI的概述,然后描述AI常用的3个关节置换术研究领域(风险建模、自动放射学测量、关节置换术登记库建设)。最后,我们将讨论AI研究的下一个前沿领域,重点是模型部署和不确定性量化。