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 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
AI predicts future healthcare costs using chest x-rays
December 2, 2019 -- CHICAGO - An artificial intelligence (AI) algorithm can predict the future healthcare expenses a patient will incur over the next five years just by analyzing their chest radiographs, according to award-winning research presented Monday at the 2019 RSNA meeting.  Discuss
AI accurately detects vertebral fractures on CT
December 1, 2019 -- CHICAGO - An artificial intelligence (AI) algorithm can accurately detect vertebral fractures on CT images containing the spine, enabling opportunistic screening of these patients, according to research presented Sunday at the 2019 RSNA meeting.  Discuss