AI in Recognition of Surgery Tools

AI techniques are proving unbeatable in the fight for supremacy in methods of evaluation, optimization, control, object recognition, sensor monitoring, image interpretation, machine learning, rapid data access and storage, speech recognition, process automation, new learning capabilities, etc., all aspects are related to how computers will be used from now on in the future. The medical field, especially robotic surgery, will fully benefit from all the advantages of AI techniques. Monitoring surgical operations, more precise and robotic control of medical instruments, reconstruction of the anatomy and surgical scene, advanced visualization and segmentation techniques, are already methods that are applied and that use some AI techniques, but still timidly and selectively in medical areas. The article presented here proposes innovative methods for recognizing medical instruments used in surgical operations, evaluating their positioning, including in 3D space, obtaining position information based on advanced labeling information stored in the database, and CAD models of focused objects.