The rise of AI in healthcare—especially radiology—has launched countless conversations about ethics, bias and the difference between “right” and “wrong.”
Some operators answering calls to 000, Australia’s national emergency number, will soon have AI technology helping them identify signs of cardiac arrest over the phone.
Radiology researchers are turning to deep learning (DL) technology to make NLP even more effective—and it’s a growing trend that shows no signs of slowing down.
physIQ, an Indiana-based healthcare company using AI to track the physiological data of patients, has received a $500,000 investment from Purdue University’s Purdue Research Foundation.
AI can help improve malaria screening in low-resource settings, according to a new study published in the Journal of Digital Imaging. The model developed by researchers is as precise as human experts—and “several orders of magnitude” faster.
President Trump is scheduled to deliver his State of the Union address on Tuesday, Feb. 4, at a time when most Americans have been focused on impeachment, the 2020 election and the coronavirus outbreak.
Radiology researchers have been spent countless hours seeking a dose-reduction technique that provides high-quality images while still limiting the patient’s exposure to ionizing radiation as much as possible.