MACHINE LEARNING SYSTEM FOR NAVIGATED SPINAL SURGERIES

• Main Authors: Paul, David C, Johnson, Norbert, Glerum, Chad
• Format: Patent
• Language: English
• Published: 09.12.2021
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; DIAGNOSIS; ELECTRIC DIGITAL DATA PROCESSING; HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA; HUMAN NECESSITIES; HYGIENE; IDENTIFICATION; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS; MEDICAL OR VETERINARY SCIENCE; OPTICAL ELEMENTS, SYSTEMS, OR APPARATUS; OPTICS; PHYSICS; SURGERY

A surgical guidance system, for computer assisted navigation during spinal surgery, is operative to obtain feedback data provided by distributed networked computers for each of a plurality of prior patients who have undergone spinal surgery. The feedback data characterizes spinal geometric structures of the prior patient, characterizes a surgical procedure performed on the prior patient, characterizes an implant device that was surgically implanted into the prior patient's spine, and characterizes the prior patient's surgical outcome. The surgical guidance system trains a machine learning model based on the feedback data. The surgical guidance system obtains pre-operative data from one of the distributed network computers characterizing spinal geometric structures of a candidate patient for planned surgery, generates a surgical plan for the candidate patient based on processing the pre-operative data through the machine learning model, and provides at least a portion of the surgical plan to a display device.