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.

Amazon

Amazon Care coming to new markets

E-commerce giant Amazon is bringing its expanding healthcare services to 20 U.S. cities.

 

Thumbnail

Survival rates similar when treating secondary MR with TEER or surgery

Surgical mitral valve repair, however, was also associated with multiple benefits.

Thumbnail

Ventilator support predictable by integrated, AI-inclusive diagramming

Researchers in the U.S. and China have meshed AI with blood testing and CT lung imaging to accurately predict which newly diagnosed COVID-19 patients will need a mechanical ventilator.

Monitoring high-risk patients for AFib fails to reduce stroke risk

"These findings might imply that not all AFib is worth screening for, and not all screen-detected AFib merits anticoagulation," researchers wrote. 

Thumbnail

Risk of stroke similar when treating severe carotid artery stenosis with surgery or stenting

Researchers tracked data from more than 3,600 patients who underwent either carotid endarterectomy or carotid artery stenting.

Hospital-acquired bedsores avoidable with AI

AI has shown strong potential for predicting which recently hospitalized patients will develop pressure injuries (PIs), also known as pressure ulcers or bedsores, if they aren’t treated early with preventive medicine.

AI enables much faster pathology for life-or-death interventions

After training deep neural networks on around 4,000 slide images from around 40 biopsied kidney patients, UCLA engineers have virtually re-stained tissue images for speedier high-accuracy diagnostics than a human histotechnologist could support.  

Steps taken toward smartphone app for automatically detecting Parkinson’s

Researchers have achieved accuracies of 99.4% and 94.3% in two algorithmic methods for monitoring, diagnosing or ruling out Parkinson’s disease going only by individuals’ spoken words.