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
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
Unprotected PACS servers present a security 'disaster'
January 13, 2020 -- More than 1 billion medical images -- approximately half of which are from U.S. patients -- remain unsecured and accessible using publicly available software, according to new reporting by TechCrunch and Heavy.com in collaboration with German security firm Greenbone Networks. And the problem is only getting worse.  Discuss
AI can differentiate small renal masses on CT
January 10, 2020 -- An artificial intelligence (AI) algorithm can accurately differentiate between benign and malignant small solid masses on multiphase contrast-enhanced CT scans, Japanese researchers reported in a study published online January 8 in the American Journal of Roentgenology.  Discuss
Personal touch helps with MRI report recommendations
January 8, 2020 -- Direct communication by radiologists with referring clinicians can significantly improve compliance with follow-up recommendations contained in musculoskeletal MRI reports, according to research published online December 30 in the American Journal of Roentgenology.  Discuss
AI beats density for predicting breast cancer risk
December 17, 2019 -- An artificial intelligence (AI) algorithm that analyzes negative screening mammography exams yielded better predictions for a woman's future risk of breast cancer than risk models based on breast density measurements in a recent study, published online December 17 in Radiology.  Discuss
AI can accurately predict uterine fibroid embolization outcomes
December 13, 2019 -- An artificial intelligence (AI) algorithm's analysis of MRI exams performed prior to uterine fibroid embolization can be more accurate than radiologists in predicting whether the procedure will be successful, according to research presented at the recent RSNA 2019 meeting in Chicago.  Discuss
Technologist-performed WBUS is helpful in dense breasts
December 5, 2019 -- CHICAGO - Handheld whole-breast ultrasound (WBUS) performed by mammography technologists can be a time-efficient method for adjuvant screening of women with dense breasts, according to research presented Wednesday at the 2019 RSNA meeting.  Discuss
AI spots heart disease on CT lung screening exams
December 3, 2019 -- CHICAGO - Low-dose CT lung screening exams aren't just useful for finding lung cancer. With help from an artificial intelligence (AI) algorithm, these studies can also be used for opportunistic screening for heart disease, according to research presented Tuesday at the RSNA 2019 meeting.  Discuss