An NIH-funded study found deep learning tools could forecast next-day relapse risk with high accuracy, giving clinicians time ...
A research team has developed a causal deep learning model to personalize corticosteroid therapy for intensive care unit ...
Artificial intelligence (AI) is increasingly prevalent, integrated into phone apps, search engines and social media platforms ...
CHICAGO--(BUSINESS WIRE)--GE HealthCare (Nasdaq: GEHC) unveiled three new advanced deep learning image processing and reconstruction solutions as a part of its Effortless Recon DL portfolio at the ...
"AI also supports remote monitoring through home OCT [optical coherence tomography] platforms, improving access and continuity of care." Still, Lotery cautioned that AI has significant limits, and ...
A new artificial intelligence approach developed by investigators in Cedars-Sinai's Los Angeles-based Smidt Heart Institute has been shown to detect abnormal heart rhythms associated with atrial ...
Physiologically Based Pharmacokinetic Model to Assess the Drug-Drug-Gene Interaction Potential of Belzutifan in Combination With Cyclin-Dependent Kinase 4/6 Inhibitors A total of 14,177 patients were ...
A sign marks the entrance to the Edward Hines Jr. VA Hospital on May 30, 2014 in Hines, Illinois. (Photo by Scott Olson/Getty Images) Technologically speaking, society has come a long way since an old ...
Mario Aguilar covers technology in health care, including artificial intelligence, virtual reality, wearable devices, telehealth, and digital therapeutics. His stories explore how tech is changing the ...
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