Prediction of probability of bodily injury based on vehicle damage

Abstract

A computer-implemented method comprises providing images and attributes of a damaged vehicle that has been damaged in a collision event to a trained computer vision machine learning model, which in response provides indicators of physical damage sustained by the damaged vehicle during the collision event; providing the indicators to a trained classifier machine learning model, which in response provides a predicted likelihood that bodily injury was sustained by an occupant of the damaged vehicle during the collision event and a confidence indicator representing a level of confidence that the predicted likelihood that bodily injury was sustained is correct; and providing the predicted likelihood of bodily injury and the confidence indicator to an analyst for use in evaluating a bodily injury claim related to the occupant of the damaged vehicle and the collision event.

CPC Classifications