Cardiology continues to be one of the most influential healthcare specialties when it comes to utilizing artificial intelligence. 

Rather than test artificial intelligence's ability to detect malignant lesions on imaging, researchers instead recently explored how it impacts radiologists' interpretation processes.

Researchers with Mayo Clinic have shown that EHR-driven risk assessments could go a long way toward improving care for PCI patients. 

Despite this, not all radiologists are on board with routinely using oncology templates.

With the buyout, global private equity investor Nordic Capital makes a big bet on healthcare AI. Arcadia said the influx of cash will be used to improve its technology and find new sources for data it can use for quality care initiatives. 

The system uses color coded flags to alert general practitioners that a patient's imaging report contains "serious or unexpected” findings.

Generative artificial intelligence models have shown great potential for improving multiple aspects of the radiology field, but a new analysis cautions that they still require significant oversight. 

The Centers for Medicare & Medicaid Services said “malicious actors” created fake accounts for Medicare beneficiaries through the agency’s patient portal, using stolen data from an unknown source. The incident is being investigated.