Erik Ridley

Erik is senior editor at AuntMinnie.com 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
CDs still prevail for giving patients access to images
June 13, 2019 -- The compact disc (CD) has increasingly become an obsolete form of storage that's no longer readily accessible by many computers. However, most hospitals still rely on this archaic medium to provide patients with copies of their imaging studies, according to research published online June 11 in Radiology.  Discuss
AI converts low-dose CT scans to high-quality studies
June 12, 2019 -- An artificial intelligence (AI) algorithm can transform low-dose CT (LDCT) scans into high-quality exams that radiologists may even prefer over LDCT studies produced via commercial iterative reconstruction techniques, according to research published online June 10 in Nature Machine Intelligence.  Discuss
Deep learning helps detect intracranial aneurysms
June 10, 2019 -- A deep-learning algorithm called HeadXNet can improve the performance of clinicians of varied specialties and levels of experience for detecting intracranial aneurysms on head CT angiography exams, according to research published online June 7 in JAMA Network Open.  Discuss
6 ways AI will enhance musculoskeletal imaging
June 7, 2019 -- Artificial intelligence (AI) is poised to greatly improve all aspects of the musculoskeletal imaging chain, helping radiology practices be more efficient while still maintaining accuracy and report quality, according to an article published online June 5 in the American Journal of Roentgenology.  Discuss
CAD software helps stratify risk in lung cancer patients
June 6, 2019 -- By measuring the percentage of pulmonary fibrosis on CT exams in lung cancer patients, computer-aided detection (CAD) software can also detect and quantify the extent of interstitial lung abnormalities and help in risk stratification of these patients, according to research published online June 4 in Radiology.  Discuss
AI can trim mammography workload for radiologists
June 4, 2019 -- An artificial intelligence (AI) algorithm can sharply decrease the number of mammograms that require interpretation by radiologists -- without affecting diagnostic accuracy, according to research published online May 30 in the Journal of the American College of Radiology.  Discuss
AI enhances detection of pulmonary nodules
May 31, 2019 -- An artificial intelligence (AI) algorithm can improve radiologists' performance for detecting pulmonary nodules on chest CT scans while also speeding up reading times, researchers from China reported in an article published online May 29 in Radiology: Artificial Intelligence.  Discuss
AI may help reduce overdiagnosis of breast cancer
May 31, 2019 -- Utilizing both clinical and imaging data, a risk-assessment model based on artificial intelligence (AI) called the Breast Cancer Risk Calculator could avoid many unnecessary biopsies in patients with BI-RADS 4 mammography findings, according to research published online May 29 in JCO Clinical Cancer Informatics.  Discuss
Top 4 priorities for AI research in medical imaging
May 29, 2019 -- Bringing radiology artificial intelligence (AI) technology to routine clinical practice will require four major priorities: structured use cases, data sharing methods, validation and monitoring tools, and new standards and data elements, according to a report published online May 28 in the Journal of the American College of Radiology.  Discuss
Deep-learning model detects cerebral microbleeds on MRI
May 28, 2019 -- A deep-learning algorithm can accurately detect cerebral microbleeds -- with few false-positive results -- by analyzing brain MR images, according to research published online May 20 in NeuroImage.  Discuss