Researchers have demonstrated a smartphone application that monitors known heart failure by listening to patients’ voices for 30 seconds a day.

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

Harvard researchers have demonstrated a way to cut through tangles of irrelevant information in electronic health records (EHRs) while applying machine learning to spot patterns indicative of specific disease markers.

The device can also test for malaria and already has CE Mark approval as well as regulatory greenlights in India and Ghana.

A medical student in the U.K. is cautioning proponents of AI in healthcare to beware the technology’s possible adverse effects on medical education.

Adding lung ultrasound to a STEMI patient’s Killip classification leads to a more thorough, effective assessment, according to new findings published in Circulation: Cardiovascular Imaging.

The FDA has cleared an AI startup based in Israel to market its predictive-analytics product to ICUs during the present pandemic.

For AI to make a truly damaging dent in COVID-19’s armor, developers need to better connect big-data analytics with regularly refreshed input from frontline healthcare workers.