Physicians often tell AFib patients they should limit coffee consumption to protect their hearts. This new analysis, however, suggests that may not be necessary.
Researchers used AI-enabled software developed by Cleerly to evaluate the CCTA results of more than 6,000 patients. The software was consistently effective, identifying patients who may face an increased risk of poor outcomes.
Calcium in the coronary arteries is a known cardiac risk factor. However, new data suggest it may actually tell us more about a person's overall health than researchers previously believed.
Researchers warned that “aggressive procedural modifications” should not be necessary during TAVR to mitigate the risk of prosthesis-patient mismatch. This appears to be true for patients receiving both self-expanding and balloon-expandable TAVR valves.
A team of experts determined that correlating masses initially detected on MRI are significantly more likely to result in a cancer diagnosis than other common findings.
The model incorporates specific data from MRI exams with patient risk factors to predict whether a person is likely to develop clinically significant prostate cancer.
Finely tuned, pre-trained large language models are beginning to reliably translate image content into text, but are they ready to take on medical images?
