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.

The company’s work with Anthem-affiliated health plans, in particular, is expected to prosper as a result of this additional funding.

Brainstorming nifty tech tools is only part of the battle to getting them used on the hospital floor. For that a broadly multidisciplinary team in Durham, N.C., has brought aboard some unlikely experts.

Three machine learning algorithms have identified patients likely to suffer extreme pain following surgery with about 80% accuracy each.

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.

AI is a key part of the plan as two groups with little in common come together over health disparities that have only been worsened by the COVID-19 pandemic.

The COVID-19 pandemic is a bad dream in the truest sense of the word—and AI helps to prove it, a team of researchers assert in a study published online Oct. 1 in Frontiers in Psychology.

Researchers at Columbia University have developed a machine learning algorithm that identifies and predicts gender-based differences in adverse reactions to drugs. 

Healthcare managers experience and handle technostress in multiple ways, according to research published Sept. 25 in BMC Medical Informatics and Decision Making.

‘We find that two factors reduce lay judgment of liability: following standard care and following the recommendation of AI tools.’