Machine Learning for Healthcare Operations Software

Problem Statement:

Emergency room physicians can use the this software to identify anomalies in patient brain scans. Then, they can quickly suggest treatment options to patients and their families. For example, in the event of a stroke, patients recover faster if physicians administer aggressive, targeted treatment to the patient’s brain. Stroke patients that receive treatment sooner experience better outcomes. It can help physicians identify rare anomalies in brain scans using machine vision.


A physician or radiologist can upload a patient’s brain scan into this software. Developers should have run millions of brain scans into the software’s algorithm. This would have trained the algorithm to determine the 1’s and 0’s that might correlate to healthy regions of the brain and those that might correlate to anomalies in the brain. We can infer that the software alerts the physician or visually points out anomalous areas in the patient’s scan.