Quantitative imaging for determining time to adverse event (TTE)

A method for computer aided outcome prediction of a pathology using an enriched radiological dataset, the method comprising:

• receiving a radiological dataset for a patient, wherein the radiological dataset is obtained non-invasively;
• enriching the dataset by performing analyte measurement and/or classification of one or more of:
• (i) anatomic structure, (ii) shape or geometry or (iii) tissue characteristic, type or character, with objective validation for a set of analytes relevant to a pathology, wherein the analyte measurement and/or classification of anatomic structure, shape, or geometry and/or tissue characteristic, type, or character includes semantic segmentation to identify and classify regions of interest in the radiological dataset, wherein the regions of interest are identified with respect to cross-sections of a tubular structure in the radiological dataset;
• and
• using a machine learned classification approach based on known ground truths to process the enriched dataset and determine a predictive outcome related to the pathology, optionally including a time to event for the outcome.