TEMPORAL PREDICTION IN ANATOMIC POSITION MONITORING USING ARTIFICIAL INTELLIGENCE MODELING

• Main Authors: Vazquez Romaguera, Liset, Novosad, Philip P
• Format: Patent
• Language: English
• Published: 23.11.2023
• Subjects: ELECTROTHERAPY; HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA; HUMAN NECESSITIES; HYGIENE; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS; MAGNETOTHERAPY; MEDICAL OR VETERINARY SCIENCE; PHYSICS; RADIATION THERAPY; ULTRASOUND THERAPY

Systems and methods are disclosed for monitoring and estimating an anatomic position of a human subject for a radiotherapy treatment session, based on use of an artificial intelligence (AI) model (e.g., a generative AI model comprising a Transformer deep learning neural network), are described. An example method of monitoring anatomic position with a trained AI model includes: receiving position information corresponding to observed positions of a tracked anatomical area of a patient, observed during the radiotherapy treatment session; providing the position information as an input to a trained model trained with temporal sequences of observed anatomical positions from training data; determining an estimated position of the tracked anatomical area of the patient at a future time, based on output of the trained model; and controlling the radiotherapy treatment session based on the estimated position of the tracked anatomical area of the patient.