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 tool’s sensitivity was recorded as 99.1% for abnormal radiographs and 99.8% for critical radiographs—better than two board-certified radiologists who also interpreted the exams.
Has point-of-care ultrasound outpaced hospitals’ capacity to incorporate the technology without anointing any particular specialty its proper guardian? The case could be made.
Christine Seidman, MD, director of the cardiovascular genetics program at Brigham & Women’s Hospital, spoke to us about using genetics to crack the code of cardiovascular disease.
The American Society of Echocardiography released a new guideline document on the comprehensive use of echocardiography in the diagnosis and therapeutic intervention of rheumatic heart disease.
Sean Fain, PhD, vice chair of radiology and research and a professor of radiology, University of Iowa, discusses how long-COVID lung damage can be tracked using xenon (Xe) gas MRI and quantitative CT at RSNA 2022.
Tim Szczykutowicz, PhD, DABR, associate professor of radiology at the University of Wisconsin-Madison, is helping develop a new type of photon-counting CT detector that was shown as a work-in-progress by GE Healthcare at RSNA 2022.