The VA’s inaugural director of artificial intelligence believes the technology is “the only way” to move healthcare closer to its perennial dual goals of reducing costs and providing better care.

Machine learning is being quickly adapted across the healthcare space to develop precision medicine, and it can also be leveraged to improve the development of new drug treatments and devices by improving the randomized clinical trial process, according to MIT researchers.

Several plant-based foods readily available in supermarkets contain bioactive molecules that could not only prevent cancer but also treat it, accomplishing the latter with protective mechanisms similar to those activated by existing clinical therapies.  

Researchers from Kaiser Permanente have developed a machine learning algorithm that could help prevent the spread of the HIV virus by finding at-risk patients and getting them on prevention medications. The researchers published the findings of their prediction model in The Lancet HIV.


From the U.S. by way of the Land Down Under comes a “turbo-charged” flu vaccine created by AI.

AI can help inform the personalized dose of radiation to treat cancer patients, with the technology using information from medical scans and EHRs, according to researchers from Cleveland Clinic.


An initial set of studies went up this week at medRxiv, a new and somewhat controversial online outlet hosting preprinted clinical research reports—they haven’t yet been subject to peer review, much less journal editing—and the batch includes one dealing with AI.

Eyesight researchers have developed a machine-learning architecture whose best model, an ensemble classifier, achieved 93.4% accuracy in separating good candidates for corneal refractive surgery from patients likely to have post-surgery complications or poor outcomes.

More adults are utilizing voice assistant devices powered by AI to help with their medication management, but not all devices are the same. According to new research published in Nature, Google Assistant outpaces its peers, including Amazon’s Alexa and Apple’s Siri voice assistants.

AI in healthcare and wearables are buzzy words in the sector, but not all patients are on board with injecting biometric monitoring devices (BMDs) into their daily lives. And that non-acceptance could prove problematic for the future of these devices and other AI-based tools, according to a recent study from French researchers with Université Paris Descartes.

A European university with deep historic roots is now home to an AI research center whose areas of concentration include healthcare.

The diagnosis and treatment of a gut disease that can cause permanent damage in children can be sped up by the application of machine learning, according to researchers from the University of Virginia schools of Engineering and Medicine.