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Prediction Models for Periprosthetic Joint Infection: A Systematic Review of Traditional and Machine Learning Approaches
Objective To systematically review the development, validation, and performance of traditional and machine learning (ML) prediction models for periprosthetic joint infection (PJI) risk, diagnosis, and clinical outcomes. Methods We conducted a systematic review according to PRISMA guid
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