Connected Care

A team at Weill Cornell Medicine has developed an AI algorithm that can identify whether human embryos fertilized in vitro have the potential to progress to successful pregnancies, offering guidance as few as five days after an embryo is implanted.

The Veterans Administration is turning to computer scientists at Lawrence Berkeley National Laboratory—aka Berkeley Lab—for help reducing suicide among VA patients. To meet the challenge, the lab is using deep learning to analyze data in electronic health records, according to an item published online April 3 by Berkeley Lab’s news center.

California-based tech company Stayhealthy Inc. introduced a new mobile augmented reality (AR) app this April that’s geared toward engaging and immersing kids in learning about their own health.

Not-for-profit network Sutter Health and AI company Suki are partnering to deliver an AI-powered, voice-enabled digital assistant for doctors in Northern California.

Fourteen startups are getting a share of $117 million from Intel Capital, which is encouraging the recipients to spend the money on efforts to “disrupt their industries.” For two of the companies, the industry is healthcare and the disruptive innovation involves AI.

An AI-powered intervention supported by Google Glass reinforced facial engagement and emotion recognition in a study of children with autism spectrum disorder (ASD), suggesting the digital approach might be a viable way to support those patients without spending five figures on conventional therapy.  

Smart speakers—devices like the Amazon Echo and Google Home—are reframing the way physicians work in the operating room, allowing for hands-free communication that could cut time and risk, according to research presented at the Society of Interventional Radiology’s 2019 Annual Scientific Meeting in Austin, Texas.

Radiology patients are confident artificial intelligence will improve healthcare workflow and efficiency, but they’re skeptical of the tech itself and remain unsure of how AI will factor into the patient experience, according to a study published online March 14 in the Journal of the American College of Radiology.

Artificial intelligence shows great promise in recognizing patterns, liberating physicians from keyboards and predicting outcomes, but where does it fall short? Medical guru Eric Topol does a deep dive into those topics and many more in his new book, Deep Medicine.

A 14-week health technology “sprint” sponsored by the U.S. Census Bureau and coordinated by HHS has produced an AI tool that developers claim could revolutionize the way researchers match cancer patients with clinical trials.

The rapid advancement of AI technologies has left the medical community in a state of flux, unsure of where to direct their efforts to deliver the best, most effective care. But to one dean the answer is simple: prioritize patients.

A collaboration between Boston-based pharmaceutical startup Berg and French company Sanofi could one day result in more precise flu vaccines and even personalized shots tailored to individuals’ unique immune systems, Time reported March 5.