Artificial intelligence in total knee arthroplasty: clinical applications and implications
AI has the potential to significantly reshape TKA by enabling more precise, data-driven, and patient-centered care. However, its promise is contingent on overcoming critical limitations. Broader implementation requires robust multicenter validation to ensure model reliability, the development of explainable algorithms to build clinical trust, and a commitment to responsible innovation. With continued progress, AI can serve as a powerful complementary tool to augment surgical expertise and enhance patient outcomes in orthopedic surgery.
Authors
- Gi Beom Kim (ORCID: https://orcid.org/0000-0002-4067-1285)
- Sang-Min Lee (ORCID: https://orcid.org/0000-0001-7331-9539)
- K Kim
- Jun‐Ho Kim (ORCID: https://orcid.org/0000-0003-0947-4520)
Institutions
- Scripps Health (US)
- Scripps Clinic (US)
- Sacred Heart Hospital (US)
- Pusan National University Yangsan Hospital (KR)
- Yeungnam University Medical Center (KR)
- Hallym University Sacred Heart Hospital (KR)
- Yeungnam University College
- Pusan National University (KR)
Publication Details
- Journal
- Knee Surgery and Related Research
- Published
- 2025-10-14
- DOI
- https://doi.org/10.1186/s43019-025-00295-0
- Citations
- 4
- Primary Topic
- Total Knee Arthroplasty Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 8.03