Tafat, W., Budka, M., McDonald, D. and Wainwright, T., 2024. Artificial intelligence in orthopaedic surgery: A comprehensive review of current innovations and future directions. Computational and Structural Biotechnology Reports, 1, 100006.
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DOI: 10.1016/j.csbr.2024.100006
Abstract
This review explores the integration of Artificial Intelligence (AI) within orthopaedic surgery and its potential role across pre-surgical planning, intraoperative assistance, and post-surgical rehabilitation phases. By examining current applications, this review identifies challenges impeding AI's full adoption in orthopaedics such as data privacy concerns, the need for robust predictive models, and integration with existing medical systems. The review proposes potential solutions and research directions to address these challenges.
| Item Type: | Article |
|---|---|
| ISSN: | 2950-3639 |
| Uncontrolled Keywords: | Artificial Intelligence (AI); Machine learning (ML); Orthopaedic; Surgical procedures; Patient care |
| Group: | Faculty of Health, Environment & Medical Sciences |
| ID Code: | 41748 |
| Deposited By: | Symplectic RT2 |
| Deposited On: | 13 Apr 2026 12:12 |
| Last Modified: | 13 Apr 2026 12:12 |
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