人工智能及其子集在膝关节置换术从术前到术后各阶段的应用:概述。

Journal of orthopaedics and sports medicine Pub Date : 2025-01-01 Epub Date: 2025-03-11 DOI:10.26502/josm.511500185
Jacqueline B Anderson Enni, Devendra K Agrawal
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引用次数: 0

摘要

骨关节炎是一种复杂而痛苦的疾病,其特征是关节破坏和重塑,通常由过度使用、衰老或遗传易感性引起。关节置换术是一种广泛使用的治疗方法,用于替代退化的关节,减轻疼痛,恢复功能,通常由骨关节炎引起。人工智能,包括其子集,如机器学习和深度学习,已经成为通过提高诊断准确性、手术效率和患者预后来增强膝关节置换术的工具。本文讨论了人工智能在膝关节置换术术前、围手术期和术后阶段的各种应用,并根据其对患者教育、手术辅助和结果评估的关注对研究进行了分类。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of Artificial Intelligence and its Subsets in Various Stages of Knee Arthroplasty from Pre-op to Post-op: An Overview.

Osteoarthritis is a complex and painful condition marked by joint destruction and remodeling, often resulting from overuse, aging, or genetic predisposition. Surgical arthroplasty is a widely used treatment to replace degenerated joints, relieve pain, and restore function, often caused by osteoarthritis. Artificial intelligence, including its subsets such as machine learning and deep learning, has emerged as a tool to enhance knee arthroplasty by improving diagnostic accuracy, surgical efficiency and patient outcomes. This article addresses the diverse applications of artificial intelligence across the preoperative, perioperative, and postoperative stages of knee arthroplasty, categorizing studies by their focus on patient education, surgical assistance, and outcome assessment.

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