Flap prediction system based on volumetric data and foundation models

Abstract

Disclosed are techniques for an artificial intelligence (AI) based recommendation system associated with treatment of a patient. The AI based recommendation system can be configured to receive three-dimensional (3D) image data that is associated with a patient, where the 3D image data includes volumetric data; and detect one or more anatomical treatment sites associated with the patient. The 3D image data may further be annotated with one or more of the detected anatomical treatment sites. By leveraging a foundation model with detailed context on flap harvesting, the AI based recommendation system may evaluate the annotated 3D image data, identify viable donor sites for flap harvesting, and provide recommendations for one or more viable donor sites for flap harvesting based on a treatment criteria for treatment of the patient. The recommendation may be evaluated and further refined by additional user based interaction with the AI based system.