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Machine Learning Assisted Pre-operative planning for Total Hip Arthroplasty: Accuracy Validation and Post Operative Critical Analysis- A Retrospective Study

Introduction: Machine learning (ML) applications in pre-operative templating for total hip arthroplasty (THA) require systematic validation through prediction-verification methodologies to establish clinical utility and safety. Materials and Methods: We conducted a retrospective case series of 9 con...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Vinit Kumar Singh, Himanshu Bajpai, Prashant Kumar Sharma, Gaurav Gupta
Format: Artigo
Sprache:Inglês
Veröffentlicht: Indian Orthopaedic Research Group 2025-12-01
Schriftenreihe:Journal of Orthopaedic Case Reports
Schlagworte:
machine learning
artificial intelligence
total hip arthroplasty
pre-operative planning
templating accuracy
post-operative validation
Online-Zugang:https://jocr.co.in/wp/2025/12/machine-learning-assisted-pre-operative-planning-for-joint-replacement-surgery-accuracy-validation-and-post-operative-critical-analysis-a-retrospective-case-series/
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