Method and system for computer-aided decision guidance

A method for providing computer-aided decision guidance to a user, the method comprising, with a processing subsystem:

• receiving a set of data associated with a patient, the set of data comprising a set of images produced by an imaging modality located at a first point of care;
• processing the set of images with a set of trained machine learning models to check for a suspected pathology associated with the set of images;
• in response to detecting the suspected pathology, identifying a pathological region associated with the suspected pathology;
• identifying a second region separate and distinct from the pathological region;
• calculating a set of parameters associated with the second region;
• automatically and absent of human input during the method, selecting a single device from a set of multiple devices based on the set of parameters, thereby preventing delay of device selection associated with human input;
• automatically selecting the user and transmitting a notification comprising information associated with the selected single device to the user, wherein the user comprises a specialist associated with the suspected pathology;
• in response to receiving an input from the specialist, wherein the input comprises acceptance of the selected device, automatically triggering an action associated with transporting the selected device to the specialist, thereby minimizing a time until intervention for the patient with the selected device, wherein the action comprises an automated transmission of updates to a mobile device associated with the user, the updates related to transit of the selected device;
• and
• updating the set of trained machine learning models based on the intervention.