Evaluating the vascularity and elastography in suspicious Thyroid Imaging Reporting and Data System (TI-RADS) categories was recently proven an effective strategy for more accurately assessing thyroid nodules for malignancy.

Certain cancers remained associated with a wide range of incident cardiovascular disease (CVD) more than a decade down the road, according to a study of U.K. Biobank participants.

Cardiology is the speciality with the second largest grouping of U.S. Food and Drug Administration (FDA) cleared artificial intelligence (AI) applications, trailing only radiology. A sizeable number of these cardiology-focused AI algorithms are for cardiac ultrasound, and that number is growing.

Automated breast ultrasound (ABUS) allows for reproducible breast imaging without variation based on which sonographer performs the exam. It also can help centers where they are short on qualified breast sonographers.  Breast ultrasound can help identify cancers, or benign cysts, even in women with very dense breast tissue.

While out-of-pocket costs (OOPCs) have largely been eliminated for screening mammography, they still serve as financial barriers to patients undergoing subsequent diagnostic tests, according to results from a retrospective cohort study.

Embryonic morphological development is delayed in live pregnancies ending in miscarriage, according to a prospective cohort study from the Netherlands.

Check out this episode of HealthWatch that covers the cardiovascular impact of low and moderate dose radiation, coffee’s effect on heart function, COVID-19 testing in long-term care facilities, and the link between delirium after surgery in older adults and subsequent dementia.

Compared with standard fractionation, hyperfractionated intensity-modulated radiotherapy (IMRT) could significantly increase overall survival, as well as reduce the rate of severe late complications in patients with locally advanced recurrent nasopharyngeal carcinoma.

Researchers out of Rutgers University in New Jersey have used artificial intelligence (AI) to anticipate when patients may present with atrial fibrillation (AFib), heart failure and other cardiovascular conditions, sharing their findings in Genomics.

Google’s medically focused generative artificial intelligence model achieved 85% accuracy on a U.S. Medical Licensing Examination (USMLE) practice test, the highest score ever recorded by an AI model, according to preliminary results shared by the Google Health AI team.