After using deep learning on patient scans to track cancer evolution, one research team is hopeful the “promising results” can help improve treatment response and survival predictions for cancer patients.

A physician whose research produced promising results for using AI to improve the detection of tuberculosis (TB) was awarded the Alexander R. Margulis Award for Scientific Excellence during the annual RSNA conference in Chicago.

University of Oxford researchers were able to predict a patient’s risk of being admitted into emergency care by using machine-learning techniques with electronic health records (EHRs), according to a study published in PLOS Medicine.

Apple is reportedly in talks with the Department of Veterans Affairs to give military veterans access to electronic health records, The Wall Street Journal reported, citing sources familiar with the matter.

A deep-learning algorithm was significantly faster and just as accurate as most radiologists in analyzing chest X-rays for several diseases, according to a study led by Stanford University researchers.

CMS will launch an AI challenge focused on improving healthcare delivery in 2019, the agency announced on Nov. 16.

Oakland A’s general manager Billy Beane predicts health technology and AI will transform professional sports, according to a report by CNBC.

With the help of machine learning, researchers were able to train a computer to analyze breast cancer images and classify tumors accurately, according to a study published in NPJ Breast Cancer.