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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Telemedicine adoption is picking up, but use is still uncommon

More consumers are using telemedicine for a variety of healthcare services, but the overall use is still relatively uncommon, according to a recent study published in JAMA.

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AI-powered health clinics open in Phoenix-area stores

AI-powered medical clinics will now be offered to shoppers at several Phoenix-area grocery stores in an effort to provide better access to healthcare.

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Atrium breach exposes millions of patient records

A data breach has exposed the records of roughly 2.65 million patients of Atrium Health, a healthcare system in North Carolina and South Carolina. Medical records were not accessed.

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Amazon’s new healthcare approach mines medical records

Amazon is now selling software that “mines” medical records of patients to find ways to improve care and lower costs for providers, according to a report from The Wall Street Journal.

NYU to release large-scale MRI dataset for AI project with Facebook

NYU Langone Health’s Department of Radiology is planning to release a large-scale dataset that includes more than 1.5 million MRI knee images in an ongoing effort to make MRI scans faster with AI.

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RSNA 2018: Researchers use AI to predict cancer survival, treatment response

After using deep learning on patient scans to track cancer evolution, one research team is hopeful the “promising results” can help improve treatment response and survival predictions for cancer patients.

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Philadelphia physician earns RSNA Margulis Award for AI research

A physician whose research produced promising results for using AI to improve the detection of tuberculosis (TB) was awarded the Alexander R. Margulis Award for Scientific Excellence during the annual RSNA conference in Chicago.

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AI predicts risk of ER admission

University of Oxford researchers were able to predict a patient’s risk of being admitted into emergency care by using machine-learning techniques with electronic health records (EHRs), according to a study published in PLOS Medicine.