Erik Ridley

Erik is senior editor at and focuses on coverage of artificial intelligence and imaging informatics. He joined the website in 2000 and has 24 years of radiology journalism experience, including previous stints with Diagnostic Imaging magazine, Diagnostic Imaging Scan newsletter, and PACS and Networking News. Erik holds a bachelor's degree in journalism from the University of Connecticut.

Articles by this author
CT radiomics unlocks basal ganglia stroke onset time
February 11, 2020 -- The combination of radiomics and a machine-learning algorithm can determine on CT if an ischemic stroke in the basal ganglia occurred within the window of time in which a stroke patient can still receive thrombolysis, according to research published online February 10 in the Journal of the Neurological Sciences.  Discuss
AI predicts progression of osteoarthritis on x-rays
February 10, 2020 -- An artificial intelligence (AI) algorithm can predict how osteoarthritis will progress over four years based on analysis of baseline knee x-rays and other risk factors, according to research published online February 6 in Osteoarthritis and Cartilage.  Discuss
14 ways AI can improve the business of radiology
February 7, 2020 -- Business analytics based on artificial intelligence (AI) can create value for radiology practices by improving processes, optimizing resources, and enhancing workflow, according to an article published in the current issue of Seminars in Musculoskeletal Radiology.  Discuss
AI may help improve management of stroke patients
February 5, 2020 -- Artificial intelligence (AI) algorithms can determine from multiparametric MRI exams if a stroke patient's symptoms began within 4.5 hours -- the recommended window of time for a patient to be treated with thrombolysis, according to research published online January 28 in Stroke.  Discuss
AI helps characterize breast masses on ultrasound
February 4, 2020 -- A breast ultrasound artificial intelligence (AI) algorithm was able to differentiate breast masses at a high level of accuracy by combining analysis of B-mode and color Doppler images, according to research published online January 31 in European Radiology. It even yielded comparable performance to experienced radiologists.  Discuss
Deep learning distinguishes between Alzheimer's, iNPH
February 3, 2020 -- A deep-learning algorithm can differentiate between Alzheimer's disease and idiopathic normal pressure hydrocephalus (iNPH) on MRI scans at a comparable accuracy to radiologists, according to research published online January 22 in Magnetic Resonance in Medical Sciences.  Discuss
AI finds infarction in stroke patients on unenhanced CT
January 30, 2020 -- Canadian researchers found that their artificial intelligence (AI) algorithm was able to find and quantitate infarcted brain tissue on baseline CT studies in patients with acute ischemic stroke, potentially helping to improve treatment decisions, according to research published online January 28 in Radiology.  Discuss
AI enables screening of fracture risk from CT scans
January 27, 2020 -- Patients at risk for osteoporotic fractures can be identified through their routine chest or abdomen CT scans thanks to an artificial intelligence (AI) algorithm tested in Israel, according to research published online January 13 in Nature Medicine.  Discuss
FDA finalizes easier rules for CADe software
January 21, 2020 -- The U.S. Food and Drug Administration (FDA) has finalized rules that make it easier for developers of computer-aided detection (CADe) software to win regulatory clearance for their products. Certain CADe products can now be classified as class II devices.  Discuss
AI can accurately classify cerebral aneurysm rupture status
January 17, 2020 -- An artificial intelligence (AI) algorithm is able to classify the rupture status of cerebral aneurysms with a promising level of accuracy, even outperforming experienced neurosurgeons, according to research published January 15 in Radiology: Artificial Intelligence.  Discuss