Research presented at TVT 2019 in Chicago last week suggests a transcarotid approach to transcatheter aortic valve replacement is favorable for patients unable to tolerate femoral access, topping both transapical and transaortic approaches as the preferable route for alternate-access TAVR.
Researchers have used AI to gain additional insight from the brain MRI scans of multiple sclerosis (MS) patients, sharing their findings in Nature Digital Medicine.
Artificial neural networks (ANNs) can help radiologists classify pure ground glass opacities (GGOs), according to a new study published in Clinical Imaging. But they shouldn't rely solely on AI-produced findings.
That’s the question David Freedman tried to answer in an article in The Atlantic, pointing out that the high cost of the U.S. healthcare system could come down to the patients themselves.
Coronary artery calcium (CAC) levels spotted on CT scans in middle-age patients were connected to an increased risk of structural heart abnormalities indicative of future heart failure, according to a new study published in Circulation: Cardiovascular Imaging.
HHS, with the Departments of Labor and Treasury, has issued a new rule to expand the use of health reimbursement coverage, which provide tax-preferred funds for employees to buy their own insurance on the individual market.
Artificial neural networks (ANNs) can help radiologists classify ground-glass opacities (GGO) with improved accuracy, according to new findings published in Clinical Radiology.
Proponents of risk-based mammography screening claim the method successfully emphasizes its benefits and minimizes its harms, but new research has found it may not be as effective as age-based screening.
AI is aiding in the diagnosis of several diseases and health risks, and researchers have recently found that machine learning can help predict the onset of psychosis, a debilitating mental disorder that can compromise an individual’s psychology and their ability to think and feel.
