SYSTEMS AND METHODS FOR PROCESSING DIGITAL IMAGES FOR RADIATION THERAPY

Abstract

Systems and methods are disclosed for predicting a benefit of radiation therapy, comprising receiving one or more digital images of a pathology specimen, receiving additional information about a patient and/or a disease associated with the pathology specimen and transforming the additional information into a vector representation, identifying a target region of the one or more digital images for analysis and removing a non-relevant region of the one or more digital images, the target region including at least a portion of a detected tumor and tissue surrounding the detected tumor, applying a machine learning system to the one or more digital images to predict a benefit of radiation therapy for the target region by integrating the vector representation into a neural network of the machine learning system, the machine learning system having been trained by processing a plurality of training images to predict the benefit of radiation therapy for the target region, the benefit of radiation therapy being based on an intrinsic sensitivity of the detected tumor to radiation and/or a probability of radiotherapy-induced toxicity in the tissue surrounding the detected tumor and outputting the benefit of radiation therapy corresponding to the target region to an electronic storage device.

Inventors

GRADY, LEO
KANAN, CHRISTOPHER
REIS-FILHO, Jorge S.

Assignees

PAIGE.AI, Inc.

Dates

Publication Date: 20260506
Application Date: 20211004