OKAYAMA UNIVERSITY SCIENTIFIC ACHIEVEMENT REPOSITORYmetadata only
Development of a preoperative accuracy prediction model using machine learning for implant placement in static-guided surgery: retrospective observational study
implant placement, accuracy, surgical guide, machine learning, prediction algorithms, decision trees, support vector machine, sensitivity and specificity
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