Bioethical Considerations of Deploying Artificial Intelligence in Clinical Orthopedic Settings: A Narrative Review

被引:0
作者
Kiwinda, Lulla V. [1 ]
Kocher, Sophia D. [1 ]
Bryniarski, Anna R. [1 ]
Pean, Christian A. [1 ,2 ]
机构
[1] Duke Univ, Sch Med, Dept Orthopaed Surg, DUMC Box 104002, Durham, NC 27710 USA
[2] Duke Univ, Duke Margolis Inst Hlth Policy, Sch Med, Durham, NC USA
关键词
artificial intelligence; AI; bioethics; machine learning; orthopedics; ethical considerations;
D O I
10.1177/15563316251340303
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
Artificial intelligence (AI) has emerged in orthopedics with the potential to improve diagnostic accuracy, optimize surgical workflows, and support personalized care. We conducted a narrative review exploring the bioethical considerations of AI use in the orthopedic clinical setting, focusing on 4 core principles-autonomy, beneficence, nonmaleficence, and justice-to provide orthopedists with a practical framework for AI's implementation. We utilized the Preferred Reporting Items for Systematic Reviews and Meta-Analyses framework to conduct a comprehensive PubMed search; 89 articles were evaluated and 23 met our inclusion criteria. Across these studies, bioethical considerations for the clinical implementation of AI tools consistently emerged, most commonly concerning privacy, bias, transparency, informed consent, and regulation. We offer recommendations for strengthening privacy safeguards, adopting bias mitigation strategies, improving transparency through explainable AI tools, and establishing clear regulatory frameworks with lifecycle evaluation.
引用
收藏
页码:274 / 282
页数:9
相关论文
共 38 条
[1]  
Asimov I., 1942, Astounding Science Fiction, V29, P94
[2]   Artificial intelligence, machine learning, and deep learning in orthopedic surgery [J].
Atik, O. Sahap .
JOINT DISEASES AND RELATED SURGERY, 2022, 33 (02) :484-485
[3]   Predicting patient reported outcome measures: a scoping review for the artificial intelligence-guided patient preference predictor [J].
Balch, Jeremy A. ;
Chatham, A. Hayes ;
Hong, Philip K. W. ;
Manganiello, Lauren ;
Baskaran, Naveen ;
Bihorac, Azra ;
Shickel, Benjamin ;
Moseley, Ray E. ;
Loftus, Tyler J. .
FRONTIERS IN ARTIFICIAL INTELLIGENCE, 2024, 7
[4]   A comprehensive exploration of artificial intelligence in orthopaedics within lower-middle-income countries: a narrative review [J].
Banatwala, Umm E. Salma Shabbar ;
Ibrahim, Muhammad Talal ;
Shaikh, Reyan Hussain ;
Shahzad, Hania ;
Hoodbhoy, Zahra ;
Noordin, Shahryar .
JOURNAL OF THE PAKISTAN MEDICAL ASSOCIATION, 2024, 74 (04) :90-96
[5]  
BBC, 2017, GOOGLE DEEPMIND NHS
[6]  
Beauchamp TL., 2001, Principles of biomedical ethics, V5
[7]   A Review on the Current Applications of Artificial Intelligence in the Operating Room [J].
Birkhoff, David C. ;
van Dalen, Anne Sophie H. M. ;
Schijven, Marlies P. .
SURGICAL INNOVATION, 2021, 28 (05) :611-619
[8]   Generative Artificial Intelligence and Prompt Engineering: A Primer for Orthopaedic Surgeons [J].
Carroll, Amber N. ;
Storms, Lewis A. ;
Malempati, Chaitu ;
Shanavas, Ridah V. ;
Badarudeen, Sameer .
JBJS REVIEWS, 2024, 12 (10)
[9]   The Role of Machine Learning in Spine Surgery: The Future Is Now [J].
Chang, Michael ;
Canseco, Jose A. ;
Nicholson, Kristen J. ;
Patel, Neil ;
Vaccaro, Alexander R. .
FRONTIERS IN SURGERY, 2020, 7
[10]   A Comparison of ChatGPT and Expert Consensus Statements on Surgical Site Infection Prevention in High-Risk Paediatric Spine Surgery [J].
Chester, Aaron N. ;
Mandler, Shay I. .
JOURNAL OF PEDIATRIC ORTHOPAEDICS, 2025, 45 (01) :e72-e75