Ai-based software tool for assisting the review of dermatopathology specimens

A system for preparing a histopathology image for review, the system comprising:

• at least one computer hardware processor;
• and
• at least one non-transitory computer readable storage medium, storing processor executable instructions, that when executed by the at least one computer hardware processor cause the processor to perform a method comprising:
• obtaining the histopathology image, the image containing histopathology data of one or more tissue samples;
• processing the histopathology image data using at least one trained machine learning model to determine a likelihood of each of a plurality of diagnostic entities being present in the one or more tissue samples;
• determining an output set of diagnostic entities by applying a conformal prediction technique to the determined likelihoods, wherein a size of the output set determined by the conformal prediction technique is determined based on the determined likelihoods;
• generating an output image by applying indications of a presence of the output set of diagnostic entities to the histopathology image;
• and
• causing a user interface to display the output image.

At least one non-transitory computer readable storage medium, storing processor executable instructions, that when executed by at least one computer hardware processor cause the processor to perform a method comprising:

• obtaining a histopathology image, the image containing histopathology data of one or more tissue samples;
• processing the histopathology image data using at least one trained machine learning model to determine a likelihood of each of a plurality of diagnostic entities being present in the one or more tissue samples;
• determining an output set of diagnostic entities by applying a conformal prediction technique to the determined likelihoods, wherein a size of the output set determined by the conformal prediction technique is determined based on the determined likelihoods;
• generating an output image by applying indications of a presence of the output set of diagnostic entities to the histopathology image;
• and
• causing a user interface to display the output image.