System and Method for Annotating Pathology Images to Predict Outcome

Abstract: methods, systems, apparatus, and computer programs, for predicting clinical outcome of a patient. in one aspect, a method includes obtaining a pathology image associated with the patient; processing the pathology image including: determining a region of interest of the pathology image; and segmenting the pathology image into a plurality of tiles, wherein the plurality of tiles has a uniform size; providing the processed pathology image as an input to a machine learning model configured to annotate the pathology image and predict the clinical outcome of the patient based on the annotated pathology image; obtaining, as an output of the machine learning model, the annotated pathology image associated with the patient, wherein the annotated pathology image includes annotations for different classes of tissues including a tumor regression; and determining, based on the annotated pathology image, a metric indicative of the clinical outcome of the patient.

Inventor(s): Janis M. Taube, Julie Stein, Vinay Pulim, Tricia Ruth Cottrell

CPC Classification: G16H50/20 (for computer-aided diagnosis, e.g. based on medical expert systems)

Search for rejections for patent application number 20250166824