The BBX-PET machine can be wheeled into a physician's office, hospital room, or other healthcare settings to deliver point-of-care service.

Researchers in Denmark and the U.S. have used deep neural networks to develop complementing models for predicting complications likely to arise in patients who’ve had surgeries of all kinds. 

The advanced algorithms address two areas known for causing false ICM alerts: atrial fibrillation and asystole.

ACR is collaborating with the American Academy of Ophthalmology on the initiative, adding new data and use cases to its AI-LAB platform.

Needless platelet activity in the lungs may be one of the primary reasons clinicians are seeing inflammation and blood clotting in critically ill COVID-19 patients.

Bypassing conventional CT for scans readily available in surgical rooms may help doctors quickly assess large vessel occlusion strokes prior to mechanical thrombectomy.

When assisted by an AI tool designed to organize and display digitized patient referral records, gastroenterologists cut their time to answer relevant clinical questions by 2.3 minutes.

Doctors specifically called on Congress and the Food and Drug Administration to improve existing regulatory frameworks and incentivize more stringent testing in this underserved population.

Researchers aimed to use a proven strategy to improve patient care, but their intervention did not make a substantial impact. 

Black women were twice as likely to face delays greater than 45 days, and those experiencing this long lag were 1.6 times more likely to die, experts wrote in JACR.