Abstracts | Digitalisierung 4
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Meeting Abstract (AB79-2237)
Digitalisierung in der Endoprothetik: KI basiertes Assessment nach Gelenkersatz
Heitzer F, Raab D, Geu-Flores F, Kolotzek C, Bias M, Marsch J, Kowalczyk W, Jäger M -
Meeting Abstract (AB79-3237)
Diagnostic performance of hip MRI for the detection of labral and cartilage abnormalities: A comparative study of deep learning and standard techniques using arthroscopy as standard of reference
Twardy V, Marka A, Meurer F, Graf M, Weiss K, Makowski M, Karampinos D, Neumann J, Wörtler K, Foreman S, Banke I -
Meeting Abstract (AB79-3369)
Verbesserte klinische Ergebnisse nach patienten-individueller Totalendoprothese im Vergleich zur roboter-assistierten Totalendoprothese bei ausgeprägten femoralen Valgus-Phänotypen
Tücking L, Savov P, Windhagen H, Ettinger M -
Meeting Abstract (AB79-4024)
Developing and validating machine learning models to predict acetabular cup size in total hip arthroplasty
Öttl FC, Weinblatt A, Chalmers B, Kolin D, Gonzalez Della Valle A -
Meeting Abstract (AB79-4572)
3D MRI-based virtual radiographs of the pelvis for assessment of acetabular coverage and version: A feasibility study in young patients evaluated for joint preserving hip surgery
Roshardt J, Meier M, Lerch T, Tannast M, Hoch A, Sommer S, Sutter R, Steppacher SD, Schmaranzer F -
Meeting Abstract (AB79-4657)
AI-powered 3D MRI biochemical analysis of acetabular cartilage composition in hip dysplasia and protrusion using volumetric dGEMRIC
Alonso Domenech E, Roshardt J, Meier M, Hirt J, Schmaranzer F, Ruckli A, Gerber N, Tannast M, Steppacher SD
