Deep learning can improve the quality of coronary CT angiography (CCTA) images, according to a new study published in Academic Radiology.

Several major technology companies have come under scrutiny for being granted access to some patient health data to develop new technologies and tools, but Americans may be more open to sharing their information in the name of innovation for specific purposes.

Partners Healthcare, an integrated healthcare system founded by Brigham and Women’s Hospital and Massachusetts General Hospital, has launched a five-year, $100 million digital health initiative to provide a number of new services for patients and boost digital innovation.

Machine learning (ML) can predict a patient’s long-term risk of myocardial infarction (MI) or cardiac death, according to new findings published in Cardiovascular Research.

As more technology companies are working on healthcare solutions and developing new products, health information and patient data is becoming more valuable––and hospital executives are seeing a flood for requests, according to a report from CNBC.

AI continues to evolve at a rapid pace, with new algorithms and solutions being developed all the time. What kind of long-term impact could these technologies have on patient care?

AI can identify women at a high risk of developing breast cancer more accurately than existing prediction models, according to a new study published in Radiology.

Machine learning (ML) algorithms can evaluate cardiac MR (CMR) images and provide accurate measurements of left ventricular (LV) volumes from throughout the patient’s cardiac cycle, according to a new study published in Magnetic Resonance Imaging.