Patient Care

This page includes news coverage of various aspects of patient healthcare, including new technology innovations, what is working, what is not, personalized medicine and remote and telemedicine delivery. Find specific news in the areas of Care DeliveryDigital TransformationPrecision MedicineRemote Monitoring and Telehealth.

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Half of nurses and doctors feel burned out

Between one-third and half of all nurses and doctors in the U.S. are feeling symptoms of burnout.

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Amazon purchases digital firm Health Navigator

Amazon has purchased Health Navigator, a firm that describes itself as a clinical content partner and provides technology and services to digital health companies.

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Researcher working with AI to change breast cancer care forever

Regina Barzilay, PhD, a professor at the Massachusetts Institute of Technology, has been working closely with AI technologies to improve breast cancer care ever since she was diagnosed with the disease in 2014.

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$1.5M grant to fund AI-focused lung cancer research

A lung cancer researcher from Dartmouth College has received a $1.5 million grant from the National Cancer Institute to build and validate machine leaning approaches to develop better, more personalized cancer treatments.

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AI could help diagnose thyroid nodules

The combination of machine learning and ultrasound could help healthcare providers with the diagnosis of thyroid nodules, according to new findings published in JAMA Otolaryngology.

Biogen to seek FDA approval for Alzheimer’s drug

Biogen, a biotech company based in Massachusetts, is planning to seek approval from the FDA for an experimental drug that targets the underlying causes of Alzheimer’s disease.

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Why all AI strategies need an imaging informaticist

Discussions about AI and radiology often focus on the researchers who help develop the algorithms and radiologists themselves. But a new analysis published in Academic Radiology shines a light on another key role in the implementation of AI: the imaging informaticist.

3 AI systems detect TB better than radiologists

Deep learning neural networks can improve the detection of tuberculosis (TB) and provide health systems with considerable cost savings, according to new findings published in Scientific Reports.