Now Comes the Hard Part. The industry has moved past the hype cycle. The next wave of AI value won’t come from clinical documentation — it will come from the operational workflows that determine ...
Central to that evolution is the transformation of care delivery. As published in Digital Engineering, digital transformation ...
AI is being used across cancer care for prevention, diagnosis, treatment, survivorship and end-of-life support, improving ...
eGenome.ai, co-founded by Sid Das, is revolutionising preventive healthcare by using AI to predict health risks years in advance.
Millions of people are turning to artificial intelligence (AI) chatbots for advice on everything from cooking to tax returns. Increasingly, they are also asking chatbots about their health.
Independent studies show Zemplee’s systems can reduce hospital days and falls, and boost confidence for older adults and their families.
Morning Overview on MSN
AI tool aims to flag health care needs of childhood cancer survivors
Researchers are testing whether natural language processing can detect hidden psychological distress in childhood cancer ...
In this Leadership Dialogue conversation, Marc Boom, M.D., president and CEO of Houston Methodist and the 2026 AHA board chair, speaks with Amy Rockman, director of the Artificial Intelligence Center ...
The first wave of AI in health systems was ambient documentation — microphones in exam rooms, notes written by machines. That story has been told. The more interesting story is what’s coming next.
Artificial intelligence (AI) is transforming health care by improving diagnostic accuracy, optimizing patient flow, and enhancing resource management. But this technological progress comes with ...
To the UC Davis community: As an electrical engineer investigating early neural networks in the 1990s, I dreamed of a future where artificial intelligence, or AI, could build a healthier, more ...
Pa., told Nextgov/FCW that he wants to provide grant funding to figure out which risks “are the ones that we should be paying ...
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