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.

Startup’s AI product set for wide distribution via major imaging vendor

One of the biggest imaging OEMs is offering healthcare providers using its radiography systems a third party’s AI toolset for detecting lung abnormalities.

Machine learning sees diseases obscured by info overload

Harvard researchers have demonstrated a way to cut through tangles of irrelevant information in electronic health records (EHRs) while applying machine learning to spot patterns indicative of specific disease markers.

Portable AI-enabled device brings blood testing to underserved areas

The device can also test for malaria and already has CE Mark approval as well as regulatory greenlights in India and Ghana.

Med student: Train us in AI now or watch quality suffer later

A medical student in the U.K. is cautioning proponents of AI in healthcare to beware the technology’s possible adverse effects on medical education.

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Lung ultrasound before PCI improves in-hospital management of STEMI patients

Adding lung ultrasound to a STEMI patient’s Killip classification leads to a more thorough, effective assessment, according to new findings published in Circulation: Cardiovascular Imaging.

Emergency-use authorization granted for AI-based COVID management

The FDA has cleared an AI startup based in Israel to market its predictive-analytics product to ICUs during the present pandemic.

Want to supercharge AI vs. COVID? Get more humans in the learning loop

For AI to make a truly damaging dent in COVID-19’s armor, developers need to better connect big-data analytics with regularly refreshed input from frontline healthcare workers.

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Cleveland Clinic develops first risk prediction model for COVID-19 patients

Researchers at Cleveland Clinic have created the first risk prediction model that allows healthcare providers to find the likelihood of an individual patient testing positive for COVID—19, as well as possible outcomes from the virus.