The Use of Artificial Intelligence for Orthopedic Surgical Backlogs Such as the One Following the COVID-19 Pandemic: A Narrative Review

被引：1
|
作者：
Henderson, Adam P. [1 ]
Van Schuyver, Paul R. [2 ]
Economopoulos, Kostas J. [2 ]
Bingham, Joshua S. [2 ]
Chhabra, Anikar [2 ]
机构：
[1] Mayo Clin, Alix Sch Med, Jacksonville, FL 32224 USA
[2] Mayo Clin, Dept Orthoped Surg, Phoenix, AZ USA
来源：
JBJS OPEN ACCESS | 2024年 / 9卷 / 03期
关键词：
TOTAL KNEE ARTHROPLASTY; TOTAL HIP-ARTHROPLASTY; SURGERY; INSTRUMENTATION; PREDICTION; ALGORITHM; STATE; TIME;
D O I：
10.2106/JBJS.OA.24.00100
中图分类号：
R826.8 [整形外科学]; R782.2 [口腔颌面部整形外科学]; R726.2 [小儿整形外科学]; R62 [整形外科学（修复外科学）];
学科分类号：
摘要：
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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页数：7
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