Terason, a portable ultrasound manufacturer based in Massachusetts, is partnering with DiA Imaging Analysis, which is headquartered in Israel, to bring AI to healthcare providers using Terason machines for heart imaging.

Few healthcare AI models introduced in the medical literature during the present AI research boom can be used in actual patient care.

A co-founder of Google’s AI business DeepMind has been placed on leave following controversy over some of his projects, Bloomberg reported.


While the loudest buzz around AI in healthcare continues to emanate from clinical and research quarters, an easily overlooked subpopulation is watching with keen interest: hospital supply-chain executives and the vendor reps who call on them.

Machine learning algorithms can comb population-level patient databases to find individuals who might benefit by treatment for depression.

Machine learning is no better than physicians at predicting acute kidney injury (AKI) in the ICU, where it’s a sign of poor outcomes ahead as soon as it appears. However, the AI approach can help mitigate physicians’ tendency to overestimate risks and overtreat low-risk patients.

AI and other emerging technologies are soon to turn traditional nurses into information integrators. But nurses should be assured that technology will support their profession, not replace it.

MyHealthTeams, a San Francisco-based creator of social networks for patients with chronic health conditions, has raised a fresh $9.44 million to expand its existing online spaces and launch new ones.

As speculation continues to swirl around AI’s forthcoming transformation of healthcare, fueling boom times in AI research, a review of the literature has turned up scant evidence the technology is benefiting patients at the consumer level.

VR is quickly becoming a new alternative to more traditional methods of pain management, NPR reported, with patients escaping their chronic pain by strapping on a VR headset and becoming immersed in a different reality.

DeepMind Technologies Ltd., the Google/Alphabet-owned elephant in the AI research room, has lost more than $1 billion over the past three years. And it owes another billion to creditors who’ll be looking for their money back, with interest, over the next year or so.

Machine-learning analyses of satellite images can help identify communities needing healthcare services in some of the most remote parts of the planet, according to a study published Aug. 14 in the Journal of the American Medical Informatics Association.