人工智能在骨科手术积压(如 COVID-19 大流行后的积压)中的应用:叙事回顾。

IF 2.3 Q2 ORTHOPEDICS
JBJS Open Access Pub Date : 2024-09-19 eCollection Date: 2024-07-01 DOI:10.2106/JBJS.OA.24.00100
Adam P Henderson, Paul R Van Schuyver, Kostas J Economopoulos, Joshua S Bingham, Anikar Chhabra
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引用次数: 0

摘要

➤ COVID-19 大流行造成骨科择期手术的持续积压。➤ 人工智能(AI)使用计算机算法来解决问题,有望成为医疗保健领域的有力工具。➤ 人工智能可以通过改进手术时间表、优化术前规划和预测术后结果,帮助改善目前和未来骨科手术积压的情况。➤ 人工智能可帮助管理现有的候诊名单,提高骨科工作流程的效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Use of Artificial Intelligence for Orthopedic Surgical Backlogs Such as the One Following the COVID-19 Pandemic: A Narrative Review.

➤ 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.

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来源期刊
JBJS Open Access
JBJS Open Access Medicine-Surgery
CiteScore
5.00
自引率
0.00%
发文量
77
审稿时长
6 weeks
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