The Use of Artificial Intelligence for Orthopedic Surgical Backlogs Such as the One Following the COVID-19 Pandemic: A Narrative Review.
| Autor: | Henderson AP; Mayo Clinic Alix School of Medicine, Jacksonville, Florida., Van Schuyver PR; Mayo Clinic Department of Orthopedic Surgery, Phoenix, Arizona., Economopoulos KJ; Mayo Clinic Department of Orthopedic Surgery, Phoenix, Arizona., Bingham JS; Mayo Clinic Department of Orthopedic Surgery, Phoenix, Arizona., Chhabra A; Mayo Clinic Department of Orthopedic Surgery, Phoenix, Arizona. |
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| Jazyk: | angličtina |
| Zdroj: | JB & JS open access [JB JS Open Access] 2024 Sep 19; Vol. 9 (3). Date of Electronic Publication: 2024 Sep 19 (Print Publication: 2024). |
| DOI: | 10.2106/JBJS.OA.24.00100 |
| Abstrakt: | ➤ 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. Competing Interests: Disclosure: The Disclosure of Potential Conflicts of Interest forms are provided with the online version of the article (http://links.lww.com/JBJSOA/A668). (Copyright © 2024 The Authors. Published by The Journal of Bone and Joint Surgery, Incorporated. All rights reserved.) |
| Databáze: | MEDLINE |
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