Radiologists use diagnostic imaging to non-invasively look inside the body to help determine the causes of an injury or an illness, and confirm a diagnosis. Providers use many imaging modalities to do so, including CT, MRI, X-ray, Ultrasound, PET and more.
"Lp(a) represents the most important potential potential paradigm shift in cardiovascular disease prevention that we'll experience over the next five to 10 years," Seth Baum, MD, explained in a new interview.
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.
If left undiagnosed and untreated for a prolonged period, fatty liver disease can progress to more serious conditions, such as cirrhosis and liver cancer.
The FDA clearly sees significant potential in a new multi-protein blood test from Prevencio. The company's goal is to gain full approval and get the test in the hands of emergency departments all over the United States.
The 40 evidence-based recommendations touch on everything from patient selection to study choice, radiation safety, clinical team dynamics, procedural techniques, study interpretations and more.
In a sampling of 2,273 chest radiographs of kids aged 2 to 18-years-old the AI-based software achieved diagnostic accuracies ranging from 86% to 96.9% for detecting a myriad of pathologies.
“These findings emphasize the importance of early recognition of IPV and timely intervention to prevent further harm to the victim,” authors of research published in Academic Radiology cautioned.
“The findings indicate that the DBT spot compression view can be performed in routine clinical practice to improve characterization of subtle or ambiguous findings on DBT,” experts wrote in AJR.