AI classification of knee prostheses from plain radiographs and real-world applications
This AI model successfully classifies knee prosthetic implants from plain radiographs. This capability serves as a valuable tool for surgeons, enabling precise planning for revision surgeries and periprosthetic fracture fixation surgery, ultimately contributing to improved patient outcomes. The high accuracy achieved by the AI underscores its potential to enhance surgical efficiency and effectiveness in managing knee arthroplasty complications.
Authors
- Ong-art Phruetthiphat (ORCID: https://orcid.org/0000-0001-7903-9685)
- Wongthawat Liawrungrueang (ORCID: https://orcid.org/0000-0002-4491-6569)
- Nattaphon Twinprai (ORCID: https://orcid.org/0000-0002-8137-4199)
- Puripong Suthisopapan (ORCID: https://orcid.org/0000-0002-7554-3021)
- Rit Apinyankul (ORCID: https://orcid.org/0000-0001-8499-9066)
- Prin Twinprai (ORCID: https://orcid.org/0000-0001-5353-1356)
- Krit Wongwises
Institutions
- Khon Kaen University (TH)
- Phramongkutklao Hospital (TH)
- University of Phayao (TH)
Publication Details
- Journal
- European Journal of Orthopaedic Surgery & Traumatology
- Published
- 2025-03-11
- DOI
- https://doi.org/10.1007/s00590-025-04238-z
- Citations
- 1
- Primary Topic
- Total Knee Arthroplasty Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 2.01