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Google is looking to patent a device that can determine "chest conditions from radiograph data" using machine learning. This AI-powered tech processes x-rays of a patient to offer up a preliminary diagnosis by determining the likelihood that a patient has certain chest ailments.
The system relies on a machine-learned "pathology model" which generates "risk data," meaning it predicts the likelihood that a patent may have issues requiring medical attention. Google noted that the model can be trained to have at least 90% sensitivity (it's ability to predict true positives) and at least 70% specificity (it's ability to predict true negatives). The machine learning model is built with a "deep learning system architecture" trained on tons of patients chest x-rays "from a plurality of countries," Google noted.
Source Fool.com
