IMPLANT IDENTIFICATION

Abstract: implant identification includes obtaining a machine learning (ml) model trained to select, based on properties of anatomical surfaces of anatomy adjacent to subject anatomy to be replaced, anatomy implant models of physical implants for replacement of the subject anatomy, obtaining imaging data of an anatomical region of a patient, the anatomical region comprising a subject anatomy and other anatomy adjacent to the subject anatomy, determining properties of anatomical surface(s) of the other anatomy, the anatomical surface(s) being at a respective interface(s) between the other anatomy and the subject anatomy, and applying the ml model, using the determined properties of the anatomical surface(s), and obtaining a selected implant model selected by the ml model as a specification of a physical implant for potential surgical implantation at least partially within the patient as a replacement of the subject anatomy.

Inventor(s): Luciano Bernardino BERTOLOTTI

CPC Classification: A61B34/10 (Computer-aided planning, simulation or modelling of surgical operations)

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