UCLA researchers have developed an artificial intelligence system that could help pathologists read biopsies more accurately and to better detect
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AI reveals new breast cancer types that respond differently to treatment: Revelations could personalize treatment, including picking out those likely to benefit from immunotherapy
Scientists have used artificial intelligence to recognise patterns in breast cancer — and uncovered five new types of the disease
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Sensyne Health, Bayer collaborate on new AI-powered treatments for heart disease
Sensyne Health, a British artificial intelligence technology company, has signed an initial two-year collaboration agreement with Bayer to accelerate the
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Health system boards don't do enough IT oversight, report shows
The boards of directors at U.S. hospitals health systems and hospitals are seriously lacking when it comes to technology expertise,
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How artificial intelligence can help detect rare diseases: Researchers show that using portrait photos in combination with genetic and patient data improves diagnoses
Every year, around half a million children worldwide are born with a rare hereditary disease. Obtaining a definitive diagnosis can
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What to expect at the HIMSS Machine Learning and AI for Healthcare event
Healthcare organizations can’t succeed at machine learning without a solid foundation of analytics and data. That reality is the starting
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Robots created with 3D printers could be caring for those in golden years: New design method to create soft robots
The world’s elderly population is booming. The number of older people — those age 60 years or older — is
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HIMSS Machine Learning & AI Event: Call-for-proposals closes soon
The deadline to submit a speaking proposal for the HIMSS Machine Learning & AI for Healthcare event is 5 p.m.
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HIMSS19 Champion of Health: Rasu Shrestha
As it works to foster ongoing global health improvement, HIMSS is marshalling the talents of its most important resource: its
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Artificial intelligence system learns to diagnose, classify intracranial hemorrhage: System able to ‘explain’ reasons behind decisions based on CT scan images
A team of investigators from the Massachusetts General Hospital (MGH) Department of Radiology has developed a system using artificial intelligence
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