Diagnostic Imaging

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.

Lipoprotein(a) tests could transform patient care—is it time for universal screening?
"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.
Experts create AI system that can accurately diagnose osteoporosis using routine X-rays
Experts are optimistic their tool could help providers identify patients who may be at risk of developing osteoporosis sooner.
Generative AI model shows potential for reading chest X-rays used for TB screenings
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.
AI helps spot fatty liver disease on routine radiographs
If left undiagnosed and untreated for a prolonged period, fatty liver disease can progress to more serious conditions, such as cirrhosis and liver cancer.
FDA gives AI-powered blood test for obstructive CAD breakthrough device designation
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.

Seth Baum, MD, FACC, FACPM, FAHA, FNLA, FASPC, Chairman of the Board for the Family Heart Foundation, past president of the American Society for Preventive Cardiology, clinical affiliate professor of biomedical science at Florida Atlantic University, and chief medical officer of Flourish Research, explains why testing for familial hypercholesterolemia (FH) and elevated Lipoprotein(a) could be critical to identify more patients with elevated risk of cardiac events, but have their LDL well controlled.

Lipoprotein(a) tests could transform patient care—is it time for universal screening?

"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.

Experts create AI system that can accurately diagnose osteoporosis using routine X-rays

Experts are optimistic their tool could help providers identify patients who may be at risk of developing osteoporosis sooner.

radiology trends x-ray imaging practice management

Generative AI model shows potential for reading chest X-rays used for TB screenings

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.

AI helps spot fatty liver disease on routine radiographs

If left undiagnosed and untreated for a prolonged period, fatty liver disease can progress to more serious conditions, such as cirrhosis and liver cancer.

FDA gives AI-powered blood test for obstructive CAD breakthrough device designation

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.

First human X-rays in space to take place during upcoming SpaceX mission

Specialized portable imaging equipment will be deployed to study the impact of spaceflight on the human body.

What mycoplasma pneumonia looks like on imaging.

Mycoplasma pneumonia: Experts highlight imaging findings linked to the pediatric diagnosis

Following a recent surge of mycoplasma pneumoniae pneumonia cases, experts have issued new guidance to help providers quickly identify and treat the condition, with imaging playing a prominent role.

AI rules out abnormal findings on chest X-rays, significantly reducing workloads

The commercially available software can correctly exclude pathology on chest radiographs with accuracy rates similar to those of radiologists.