Australian Orthopaedic Association

Postmarket surveillance of arthroplasty device components using machine learning methods

Guy Cafri, Stephen E. Graves, Art Sedrakyan et al.

2019 · 12 Zit.

Supervised machine learning for the prediction of post‐operative clinical outcomes of hip and knee replacements: a review

Khashayar Ghadirinejad, Roohollah Milimonfared, Mark Taylor et al.

2024 · 3 Zit.

Can a machine learning approach contribute to monitoring post-market surveillance of total knee arthroplasty prostheses?

Khashayar Ghadirinejad, Stephen E. Graves, Richard de Steiger et al.

2025 · 0 Zit.

Challenges and Limitations of Machine Learning in Total Joint Arthroplasty: Insights from Recent Studies

Sara Ghasemi Rad Abiyaneh, Reza Hashemi, Corinne Archer et al.

2026 · 0 Zit.