Ultrasound is routinely used to screen for HCC. However, its utility is limited by numerous factors, including patient body habitus, operator experience and certain liver conditions, all of which contribute to decreases in sensitivity.
Results from the world’s largest prospective artificial intelligence study revealed the system could significantly benefit breast cancer screening programs.
The newly cleared offering, AutoChamber, was designed with opportunistic screening in mind. It can evaluate many different kinds of CT images, including those originally gathered to screen patients for lung cancer.
The U.S currently does not have any large-scale commercial production of the isotope Mo-99 used for nuclear imaging. It is critical to more 40,000 nuclear imaging exams each day, representing about 80% of all diagnostic molecular imaging procedures.
The system provides long-term, wireless monitoring of muscle activity and function. Experts are hopeful that it could have utility in multiple healthcare settings.
RBMA President Peter Moffatt discusses declining reimbursement rates, recruiting challenges and the role of artificial intelligence in transforming the industry.
Deepak Bhatt, MD, director of the Mount Sinai Fuster Heart Hospital and principal investigator of the TRANSFORM trial, explains an emerging technique for cardiac screening: combining coronary CT angiography with artificial intelligence for plaque analysis to create an approach similar to mammography.
A total of 16 cardiology practices from 12 states settled with the DOJ to resolve allegations they overbilled Medicare for imaging agents used to diagnose cardiovascular disease.
