artificial intelligence digital transformation

Meet a recent high-school graduate who’s built a brilliant AI app. 

hospital clinicians IT professionals operations leaders

Some 60% of IT professionals and 51% of operational leaders admit they’re reluctant to involve clinicians in software decisions. 

artificial intelligence in cardiology

The FDA clearly sees significant potential in this new screening software from New York-based AccurKardia.

ai in healthcare industry watchers blog digest

Public interest is piqued over AI-aided cancer detection. 

ai in healthcare bessemer venture partners

As 2024 winds down and the number of FDA-approved medical devices packing AI approaches 1,000—the agency had the tally at 950 as of August—the industry finds itself at a “critical inflection point.” 

ai in healthcare computer digest blog

Deep fakes are more dangerous to healthcare than we may have thought. 

Nurses and AI artificial intelligence

Nurses tend to feel optimistic if not exactly excited about AI’s advances into their profession. Those who hold back tend to share a common concern—sacrificing care quality for the sake of tech-enabled efficiency. 

ai in healthcare digest blog

AI didn’t displace the nearly 3,000 people who just lost their jobs at CVS. 

Nurses and AI artificial intelligence

Nurses tend to feel optimistic if not exactly excited about AI’s advances into their profession. Those who hold back tend to share a common concern—sacrificing care quality for the sake of tech-enabled efficiency. 

ai in healthcare digest blog

AI didn’t displace the nearly 3,000 people who just lost their jobs at CVS. 

big pharma ai artificial intelligence

Generative AI is fixing to transform the pharmaceutical industry. However, not all adopters will reap rewards in comparable degrees.  

ai in healthcare digest news watcher blog

HHS is adding a division to offer technical expertise with special focus on AI. 

Around the web

The FDA clearly sees significant potential in this new screening software from New York-based AccurKardia.

A machine learning-powered smartphone app was trained to detect hundreds of biomarkers in the human voice, using even the tiniest detail to anticipate when patients may present with symptoms of hypertension. 

The procedure, which lasted roughly two and half hours, was performed on a 16-year-old patient with end-stage heart failure.