Academic experts in disaster response have developed an AI-based simulation model that accurately predicts ebbs and flows in traffic at drive-through vaccination stations.

Various scenarios within medical diagnostics are among the AI use cases that an official European watchdog has flagged as a potential source of hazards to fundamental human rights.

Researchers have demonstrated a machine learning model that can rule out COVID-19 in many emergency patients—and all the algorithm needs is data from routine ER blood tests.

The COVID crisis has given AI a chance to shine for medical researchers this year—and shine it has, judging by one prominent center’s experience.

The novel coronavirus has shown a nasty penchant for targeting the kidneys, and physicians can’t always tell which patients will need dialysis until they do. By then it’s often too late to save a life.

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 Defense Innovation Unit has tapped Google Cloud to prototype a pathology microscope equipped with both augmented reality and AI.

AI could provide radiologists with significant value as an advanced peer review tool, according to new findings published in Academic Radiology.

AI algorithms can improve the overall quality of breast cancer screenings, according to a new study published in JAMA Network Open.

TeraRecon announced Monday, March 2, that its AI solutions have been awarded two technology patents from the U.S. Patent and Trademark Office.

AI is expected to impact radiology more than perhaps any other medical specialty. In healthcare, though, nothing is a given.

Ping An has launched a new AI-powered system for evaluating CT scans for signs of the Wuhan coronavirus, or COVID-19.

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