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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AI imaging solution scans chest x-rays for signs of COVID-19

Representatives from the two companies emphasized that its effectiveness is still being validated. At this stage, it is to be used for research purposes and not as a diagnostic tool.

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Doesn’t miss a beat: AI assesses cardiac function faster than cardiologists

An AI algorithm can assess echocardiograms “more rapidly and comprehensively” than experienced cardiologists, according to a new study published in Nature.

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People have COVID-19 questions, free AI service has answers

A tech giant is offering a free hand to healthcare experts working in various fields that could be tapping tireless AI rather than overworked humans to answer questions from the general public on COVID-19.

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Virtual reality shows COVID-19 lungs in vivid detail

The images are rendered from CT scans and allow viewers to navigate the lungs in 360-degree tours, as demonstrated in a video podcast posted by George Washington University Hospital.

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Sectra receives FDA clearance for digital pathology solution

Sectra has received FDA clearance for its Digital Pathology Module, a primary diagnostics tool intended for U.S. healthcare providers.

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50 different cancers findable in DNA blood test designed with AI

Researchers have used machine learning to develop a blood test that can find 50 or so types of cancer.

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Experimental AI separates mild COVID from serious trouble to come

A disease that hits most people mildly but some very hard—and so wreaks havoc with its unpredictability among the infected—would seem a good target for AI’s predictive prowess.

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Deep learning improves dermatology diagnoses across 2 broad patient populations

Researchers in South Korea have shown that AI trained on photos of both Asian and Caucasian patients can help dermatologists more accurately diagnose many diseases and disorders of the skin in both subpopulations.