人工智能在骨科手术积压问题中的应用，如新冠疫情后的积压情况：一篇叙述性综述
The Use of Artificial Intelligence for Orthopedic Surgical Backlogs Such as the One Following the COVID-19 Pandemic: A Narrative Review.
作者信息
Henderson Adam P, Van Schuyver Paul R, Economopoulos Kostas J, Bingham Joshua S, Chhabra Anikar
机构信息
Mayo Clinic Alix School of Medicine, Jacksonville, Florida.
Mayo Clinic Department of Orthopedic Surgery, Phoenix, Arizona.
出版信息
JB JS Open Access. 2024 Sep 19;9(3). doi: 10.2106/JBJS.OA.24.00100. eCollection 2024 Jul-Sep.
Abstract
➤ The COVID-19 pandemic created a persistent surgical backlog in elective orthopedic surgeries. ➤ Artificial intelligence (AI) uses computer algorithms to solve problems and has potential as a powerful tool in health care. ➤ AI can help improve current and future orthopedic backlogs through enhancing surgical schedules, optimizing preoperative planning, and predicting postsurgical outcomes. ➤ AI may help manage existing waitlists and increase efficiency in orthopedic workflows.
摘要
➤ 新冠疫情导致择期骨科手术出现持续的手术积压。
➤ 人工智能（AI）利用计算机算法解决问题，在医疗保健领域有潜力成为强大工具。
➤ 人工智能可以通过优化手术安排、完善术前规划以及预测术后结果，帮助改善当前及未来的骨科手术积压情况。
➤ 人工智能可能有助于管理现有的等候名单，并提高骨科工作流程的效率。
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