Development of a preoperative accuracy prediction model using machine learning for implant placement in static-guided surgery: retrospective observational study

Purpose This study aimed to develop a machine learning model capable of preoperatively predicting three-dimensional implant placement errors at the implant apex in static-guided surgery and to identify the clinical features associated with placement accuracy. Methods Clinical data partially deri