Highlights: Artificial intelligence identifies hidden heart disease risk in routine bone scans Abdominal aortic calcification is a stronger fracture predictor than bone density Vascular health ...

the patient's presence and extent of abdominal aortic calcification (AAC) was assessed. The algorithm shortens the timeframe to screen for AAC significantly, taking less than a minute to predict ...

the patient’s presence and extent of abdominal aortic calcification (AAC) was assessed. The algorithm shortens the timeframe to screen for AAC significantly, taking less than a minute to predict ...

Objective Using combined positron emission tomography and CT (PET-CT), we measured aortic inflammation and calcification in patients with abdominal aortic aneurysms (AAA), and compared them with ...

A machine learning algorithm can assess abdominal aortic calcification level during a vertebral fracture assessment. The percentage of adults with major adverse CV events rose with higher ...

Simone Radavelli-Bagatini, Ph.D., from Edith Cowan University in Joondalup, Australia, and colleagues conducted abdominal aortic calcification and clinical assessments in 240 participants (57.5 ...

Simone Radavelli-Bagatini, Ph.D., from Edith Cowan University in Joondalup, Australia, and colleagues conducted abdominal aortic calcification and clinical assessments in 240 participants (57.5 ...

Using widely available bone density machines, and without the need for invasive testing, the researchers identified abdominal aortic calcification in about 60% of men and women, aged 60–80 years.

aCentre for Precision Health, Edith Cowan University, Joondalup, WA, Australia bCollaborative Genomics and Translation Group, School of Medical and Health Sciences, Edith Cowan University, Joondalup, ...