https://www.selleckchem.com/JAK.html
S despite the highly variable workflows. Training specifically on data from each center could improve results; however, this multicentric validation shows the potential for clinical translation of this surgical data science tool to efficiently document surgical safety. Artificial Intelligence (AI)/Machine Learning (ML) applications have been proven efficient to improvediagnosis, to stratify risk, and to predict outcomes in many respective medical specialties, including inorthopaedics. Regarding hip and knee reconstruction surgery, AI/ML have not mad
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