For a hospitalized patient who is experiencing shortness of breath, time is of the essence. There could be many potential causes — the patient's heart ...
The Jacobs School of Medicine and Biomedical Sciences’ use of artificial intelligence (AI) is transforming its medical research landscape by accelerating discovery, improving accuracy and enabling ...
By using reinforcement learning, researchers train virtual agent to determine the best time to administer medication based on ...
A Yale research team has created a new imaging technique that reveals the hidden connections between aging, disease, and ...
One way AI can be meaningful in health care is in scheduling follow-up appointments, ensuring that serious cases don't fall ...
Hospitals do not always have the opportunity to collect data in tidy, uniform batches. A clinic may have a handful of ...
New technology in digital devices takes steps to help seniors avoid falls, serious injuries, medical expenses.
As neural implant technology and A.I. advance at breakneck speeds, do we need a new set of rights to protect our most ...
Abstract: Diabetes and its complications, especially Diabetic Retinopathy (DR) and Diabetic Nephropathy (DN) is a big challenge to the global healthcare system and needs accurate predictive models to ...
Researchers explored how machine learning and quantum computing can be used to improve early detection of chronic kidney ...
The historic first image of the Messier 87 (M87) supermassive black hole, captured using the Event Horizon Telescope, has been sharped using a machine learning technique called PRIMO. PRIMO is short ...
Medical device makers use AI to turn EU regulatory challenges into competitive advantages via supply chain optimization.
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