At RSNA 2016, the key buzzwords were “deep learning,” “machine learning” and “artificial intelligence.” Vendors and major academic centers are developing a wide array of artificial intelligence neuro networks to aid radiologists in clinical diagnosis and clinical decision support. Here are two examples of how the IBM Watson system examines a mammography and cardiac patient imaging studies. Watch the VIDEO “Development of Artificial Intelligence to Aid Radiology,” an interview with Mark Michalski, M.D., director of the Center for Clinical Data Science at Massachusetts General Hospital, explaining the basis of artificial intelligence in radiology.
No. 4 on this month's list is an article about what will be required as of Jan. 1, 2018 to be reimbursed by CMS for cardiac CT, MRI or nuclear imaging. Medicare will require documentation that appropriate use criteria (AUC) clinical decision support (CDS) was used to verify the more expensive tests are appropriate over less expensive testing options.