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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Digital health a hub as HHS makes $5M available to COVID researchers

How has digital health contributed to the fight against COVID-19? What kinds of outcomes has it produced? What have been some unintended consequences of its deployment?

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New consortium seeks the ‘sweet spot of AI’ in the fight against COVID

Fresh off an investment infusion of $25 million, a tech startup has launched an ambitious virtual consortium to seek “breakthrough medical discoveries and actionable findings” for the global battle against COVID-19. 

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Federated machine learning to take on brain-tumor diagnosis

The University of Pennsylvania is teaming with Intel to lead a federation of more than two dozen medical and research centers on an AI system for identifying brain tumors.

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Algorithmic model almost 80% accurate at diagnosing COVID in app users

Researchers in the U.K. and U.S. have developed an automatic prediction model that can tell if someone is infected with COVID-19 based on symptoms alone.

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Eko’s AI model for low ejection fraction receives FDA EUA to boost pandemic care

The algorithm, developed as part of a collaboration with Mayo Clinic, received Breakthrough Device designation back in December 2019.

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Mayo Clinic partnering with UK tech company on COVID’s cardiac impact

The aim of the collaboration is to map out cardiac irregularities caused by the virus.

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Beloved Miami cardiologist dies from coronavirus complications

A 50-year-old cardiologist has died from complications related to COVID-19.

AI deftly reclassifies lung nodules for cancer risk

A convolutional neural network trained and internally validated on more than 15,000 lung CT scans has correctly reclassified indeterminate pulmonary nodules into low-risk or high-risk categories.