The solution, Caption AI, was designed to help users “without lengthy specialized training” capture high-quality images.  

The Mayo Clinic’s flagship campus in Minnesota is installing an AI-powered patient triage and prediction platform.

One of the biggest imaging OEMs is offering healthcare providers using its radiography systems a third party’s AI toolset for detecting lung abnormalities.

AI-aided physicians are better at diagnosing real-world skin cancer than either AI or physicians alone, and the least-experienced clinicians derive the most benefit from the algorithmic assist.

Healthcare AI watchers would be unwise to overlook dermatology, as it is a medical specialty “at the precipice of an artificial intelligence revolution.”

Cross-Atlantic researchers have developed two AI models that are fast and accurate at screening for COVID-19, offering hospitals potential options when lab testing is backed up or unavailable.

Researchers have used AI-powered risk prediction to accurately screen the entire inpatient population of a community hospital for sepsis, enabling early treatment of the stricken.

Asked to identify which of six fictional persons is most likely to be a terrorist, 85% of 1,500 participants in a psychology experiment selected one of the least likely suspects. And they did so specifically because they’d seen an AI robot make the ridiculous choice first.

People have been anticipating the demise of radiologists for years, speculating that AI will soon be interpreting imaging results with the precision of a seasoned veteran.

During the fourth, fifth or sixth year of medical school, more than half of students across faculties in Brazil’s largest city believe AI is a threat to the radiology job market.