The FDA has greenlit a European company’s AI software package designed to streamline workflow for radiologists reading prostate MRIs.

Low-back imaging and interventions are often named among healthcare’s iffiest expenses due to the hit-or-miss predictability of the outcomes.

Knowing that antibodies as well as viruses bind to certain proteins in certain ways, scientists have come up with a technique to watch both sickness-signaling materials stick to microscopic beads prepared for the purpose.

Nearly 90% of U.S. gastroenterologists are open to using AI for help performing high quality colonoscopies. And of these, 85% believe that computer-assisted polyp detection (CADe) stands to improve their endoscopic performance.

A supplier of healthcare software in the respiratory care space has received the FDA’s blessing to market deep learning elements newly added to an existing product.

The novel AI-aided app can run on both Apple and Android operating systems and only needs to be placed near the would-be sleeper—a familiar nightstand, shelf or end table will do—at bedtime.

Researchers at West Virginia University are well placed to tap AI for teasing out the role of existing respiratory concerns in the progression of COVID-19.

Machine learning can help post-childbirth mothers guard against problems with subsequent pregnancies, potentially saving their lives and those of their future babies.

Along with new or improved algorithmic applications for chest imaging, watch for word of an AI-powered breathalyzer and other diagnostic techno-weapons aimed at COVID. What they’ll all have in common is full-throated NIH support.

Researchers at New York University have demonstrated an AI-based way to send COVID patients from the ER to the most appropriate care setting according to their individualized risk.  

Industry researchers in medical AI have demonstrated a “causal reasoning” algorithm whose diagnostic accuracy would place it among the top 25% of primary care doctors in the U.K. 

Someone had to come right out and ask. Six researchers representing four medical specialties have done so, weighing the odds by reviewing a representative sample of the literature.