Hoping to encourage interdisciplinary collaboration around Big Data over the next 50 to 100 years, Boston University is preparing to build a 17-story architectural marvel.

Diagnosing coronary artery disease, the most common type of heart disease in the U.S., can be improved by AI, according to a new, multicenter international study published in The Journal of Nuclear Medicine.

A peer-reviewed journal has put out a call for papers to publish in an upcoming special issue on cutting-edge uses of AI in early-phase drug development.

French researchers are designing an AI-based system to show diabetic patients their overall glycemic state in a readily understandable graphic display.

AI is becoming more accessible to researchers of any age after The Penn Medicine Institute for Biomedical Informatics launched a free, open-source automated machine learning system for anyone to use, Penn AI.

An AI algorithm created by Google can predict lung cancer with high accuracy and improve the survival chances of those with the cancer through earlier diagnosis, according to a recent study. The findings were published in Nature Medicine on May 20.

A Colorado teenager has won $75,000 for his machine learning and computer vision project that helps orthopedic surgeons improve the accuracy of screw placement during spinal surgery.

Academic and popular writings on the use of “embodied” AI in mental healthcare are piling up fast. But where’s the guidance for psychiatrists, psychotherapists and clinical social workers looking to use robots, avatars and chatbots with real patients?

AI can speed up precise detection of one of the key signs of Alzheimer’s disease, according to researchers from University of California Davis and UC San Francisco, who published a study on their machine learning tool in Nature Communications.

AI can predict death or heart attack better than humans, according to a new study presented at the International Conference on Nuclear Cardiology and Cardiac CT (ICNC) in Lisbon.

Combing through insurance claims and other health data on more than 72 million U.S. residents, a machine learning algorithm was able to quite accurately identify more than 222,000 individuals who have very early stage Alzheimer’s disease.

As medical devices are increasingly being touched by new AI innovations, the FDA will soon have to grapple with reality of regulating “living things” in a new way, according to a report from Roll Call.