aceMulticentric development and validation of a fully automated artificial intelligence system for planning medial open wedge high tibial osteotomy on weight-bearing anterior-posterior long leg radiographs: The ISAKOS John Joyce Award 2025
Purpose: Preoperative planning, currently performed by orthopaedic surgeons (OS), is essential for successful osteotomy, but is labour-intensive and error-prone. As such, there is significant potential in the use of automated artificial intelligence (AI) algorithms to augment the abilities of OS in managing lower extremity pathologies in a high-volume task that demands high precision and reliability. The aim was to develop a deep learning (DL) system capable of fully autonomous planning a medial open wedge high…
A fully automated deep learning system planned medial open wedge high tibial osteotomy in about 25 seconds versus about 149 seconds for expert surgeons, with higher reliability and comparable accuracy.
The study was retrospective (Level III), so it shows agreement with an expert reference standard rather than prospective clinical benefit.
Evidence
- Peer-reviewedKnee Surgery, Sports Traumatology, Arthroscopy2026-10-19
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Truvace Impact Record TRV-2026-2013, v1: “Multicentric development and validation of a fully automated artificial intelligence system for planning medial open wedge high tibial osteotomy on weight-bearing anterior-posterior long leg radiographs: The ISAKOS John Joyce Award 2025.” Truvace, 2026-10-20. /record/TRV-2026-2013 (accessed at citation time). sha256 9509024ce1949188…
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