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.

AI nudges clinicians at triage decisionmaking

Going head-to-head against a small group of clinicians in 50 care episodes, an AI-based smartphone app has equaled or bested the humans at triaging patients to the most appropriate site of care.

Catheter ablation boosts AFib outcomes, new meta-analysis confirms

Ablation was associated with a 67% reduction in all-cause hospitalizations compared to medication alone. 

Thumbnail

Cardiovascular imaging specialists raise $33M to ramp up use of AI platforms

The Blue Venture Fund, a collaboration of dozens of Blue Cross Blue Shield companies, led the funding round. 

Negative healthcare experiences are common

Two out of three people have had a negative experience with a medical provider, according to a recent survey from Accenture.

 

Thumbnail

Cardiologist gets jail time for possessing ‘deviant, distressing and disturbing’ child abuse materials

The doctor's lawyers argued that these behaviors were a result of his depression and feelings of burnout.

Google Health, military collaborators set AI’s sights on breast cancer biomarkers

Researchers have used deep learning to assess three key biomarkers of existing breast cancers on routinely acquired histology slides. In the process, the team has advanced AI-based biomarker analysis for managing a range of cancers.

Deep learning picks out sickened faces with 100% sensitivity

Researchers have piloted a deep learning algorithm that can recognize visual cues of sickness, also known as “clinical gestalt,” in facial photos.

Healthcare AI may rise or fall on mitigation of opaque algorithms, semantic black boxes

When a black-box algorithm guides a physician’s diagnostic or therapeutic judgments, its intrinsic opaqueness can confound subsequent steps toward clinical safety and efficacy—and that’s just for starters.