Cheng Cong, Liang Xinzhi, Guo Dong, Xie Denghui
Department of Orthopaedics, People's Hospital of Longhua, Shenzhen 518000, China.
Department of Joint Surgery and Sports Medicine, Center for Orthopedic Surgery, Orthopedic Hospital of Guangdong Province, The Third Affiliated Hospital of Southern Medical University, Guangzhou 510630, China.
Diagnostics (Basel). 2024 May 24;14(11):1091. doi: 10.3390/diagnostics14111091.
Artificial intelligence (AI) refers to the science and engineering of creating intelligent machines for imitating and expanding human intelligence. Given the ongoing evolution of the multidisciplinary integration trend in modern medicine, numerous studies have investigated the power of AI to address orthopedic-specific problems. One particular area of investigation focuses on shoulder pathology, which is a range of disorders or abnormalities of the shoulder joint, causing pain, inflammation, stiffness, weakness, and reduced range of motion. There has not yet been a comprehensive review of the recent advancements in this field. Therefore, the purpose of this review is to evaluate current AI applications in shoulder pathology. This review mainly summarizes several crucial stages of the clinical practice, including predictive models and prognosis, diagnosis, treatment, and physical therapy. In addition, the challenges and future development of AI technology are also discussed.
人工智能(AI)是指制造用于模仿和扩展人类智能的智能机器的科学与工程。鉴于现代医学多学科整合趋势的不断发展,众多研究探讨了人工智能解决骨科特定问题的能力。一个特别的研究领域聚焦于肩部病理学,它是一系列肩关节的疾病或异常,会导致疼痛、炎症、僵硬、无力以及活动范围减小。目前尚未对该领域的最新进展进行全面综述。因此,本综述的目的是评估人工智能在肩部病理学中的当前应用。本综述主要总结了临床实践的几个关键阶段,包括预测模型与预后、诊断、治疗以及物理治疗。此外,还讨论了人工智能技术面临的挑战和未来发展。