Artificial Intelligence in Trapeziometacarpal Joint Osteoarthritis: Improving Assessment and Clinical Decision-Making
This retrospective cohort study uses radiographic and CT imaging data from Schulthess Klinik Zürich to develop and validate AI-based tools for assessing trapeziometacarpal (TMC) joint osteoarthritis and monitoring implants. The project comprises four subprojects: a new radiographic classification system for TMC OA, deep‑learning automation of that classification, automated detection of implant migration, and 3D reconstruction of the TMC joint from biplanar radiographs. Data are drawn from patients with the Touch implant and from other wrist‑related conditions, and the resulting prototypes are…
This retrospective cohort study uses radiographic and CT imaging data from Schulthess Klinik Zürich to develop and validate AI-based tools for assessing trapeziometacarpal (TMC) joint osteoarthritis and monitoring implants. The project comprises four subprojects: a new radiographic classification system for TMC OA, deep‑learning automation of that classification, automated detection of implant migration, and 3D reconstruction of the TMC joint from biplanar radiographs. Data are drawn from patients with the Touch implant and from other wrist‑related conditions, and the resulting prototypes are…
It showcases the application of AI in orthopedic imaging within Swiss clinical practice, supporting the development of AI solutions that may later undergo Swissmedic regulatory evaluation.
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