Systems and methods to process electronic images to determine salient information in digital pathology

A computer-implemented method for identifying a diagnostic feature of a digitized pathology image, the method comprising:

• receiving one or more digitized images of a pathology specimen, and medical metadata comprising image metadata, specimen metadata, clinical information, and patient information;
• applying a machine learning model to generate one or more predictions based on a presence of one or more pathological conditions in the one or more digitized images;
• generating, by the machine learning model, at least one relevant diagnostic feature of the relevant diagnostic features for output to a display, the at least one relevant diagnostic feature being based on the presence of a region having the one or more pathological conditions beyond a statistical likelihood;
• and
• providing, by the machine learning model, the at least one relevant diagnostic features for output to a display.

A system for identifying a diagnostic feature of a digitized pathology image, the system comprising:

• at least one memory storing instructions;
• and
• at least one processor configured to execute the instructions to perform operations comprising:
• receiving one or more digitized images of a pathology specimen, and medical metadata comprising at least one of image metadata, specimen metadata, clinical information and/or patient information;
• applying a machine learning model to generate one or more predictions based on a presence of one or more pathological conditions in the one or more digitized images;
• generating, by the machine learning model, at least one relevant diagnostic feature of the relevant diagnostic features for output to a display, the at least one relevant diagnostic feature being based on the presence of a region having the one or more pathological conditions beyond a statistical likelihood;
• and
• providing, by the machine learning model, the at least one relevant diagnostic features for output to a display.

A non-transitory computer-readable medium storing instructions that, when executed by a processor to perform operations for identifying a diagnostic feature of a digitized pathology image, the operations comprising:

• receiving one or more digitized images of a pathology specimen, and medical metadata comprising at least one of image metadata, specimen metadata, clinical information and/or patient information;
• applying a machine learning model to generate one or more predictions based on a presence of one or more pathological conditions in the one or more digitized images;
• generating by the machine learning model, at least one relevant diagnostic feature of the relevant diagnostic features for output to a display, the at least one relevant diagnostic feature being based on the presence of a region having the one or more pathological conditions beyond a statistical likelihood;
• and
• providing, by the machine learning model, the at least one relevant diagnostic feature for output to a display.