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 detects sepsis in newborns hours before clinicians

Researchers at the Children’s Hospital of Philadelphia (CHOP) developed machine learning models that can detect the presence of sepsis in infants, hours before physicians. Findings from the study were published in PLOS One.

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Can AI diagnose skin cancer in all races?

Though AI systems have shown promise for detecting skin cancer, more work is needed before they can be utilized in “real world” applications, according to researchers at the 2019 American Academy of Dermatology annual meeting in Washington, D.C.

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AI-based tool maps fertility, hormones

OOVA, a Mount Sinai Health System spinout and diagnostic device company, is piloting an AI-based fertility tool that measures and monitors the concentrations of luteinizing hormone and progesterone—two key fertility hormones. The program is being piloted in collaboration with Thorne Research.

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AI app Google Translate helps bridge the language gap

Researchers at the University of California, San Francisco found Google Translate, Google’s AI-based app, can help non-English speaking patients and their providers. However, it's not perfect, according to research published in JAMA Internal Medicine.

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AI screens for fetal alcohol spectrum disorder with 85% accuracy

A new machine learning-based system, detailed in the journal Frontiers in Neurology, screens children for fetal alcohol spectrum disorder (FASD) in a quick and more cost-efficient way. The system was developed by researchers at the University of Southern California, Queen’s University in Ontario and Duke University, and will be accessible to children in more remote areas of the globe. 

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ACC President C. Michael Valentine on the College’s top advocacy priorities for 2019

With the American College of Cardiology’s annual congress fast approaching in March and two new JACC medical journals slated to launch later this year, the ACC is lining up its priorities for 2019.

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Machine learning model designed to measure sepsis risk

An AI-based sepsis screening tool could better help physicians find patients most at risk of developing the illness after it outperformed other traditional screening methods, according to a study published in the Annals of Emergency Medicine.

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Sepsis mortality likely unpreventable with better hospital care

Sepsis is a leading cause of mortality in U.S. hospitals. However, most of these deaths are unlikely to be prevented with better care in hospitals, according to a new study published in JAMA Network Open.