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
Can local use guidelines reduce inappropriate imaging?
November 12, 2018 -- Imaging utilization rules based on national guidelines may not cover all clinical circumstances. Appropriate use criteria based on local best practices can fill this gap, however, and help avoid inappropriate imaging, according to research published online November 7 in the American Journal of Roentgenology.  Discuss
OIG finds FDA lacking in postmarket cybersecurity plans
November 12, 2018 -- After calling on the U.S. Food and Drug Administration (FDA) in September to further integrate cybersecurity into its premarket review process, the U.S. Office of Inspector General (OIG) has now deemed the FDA's policies and processes to be "deficient" for addressing postmarket cybersecurity incidents with medical devices.  Discuss
How well does imaging AI perform in the real world?
November 7, 2018 -- Artificial intelligence (AI) algorithms can yield impressive results when tested on images similar to those used in their training. But how well do they do on images acquired at other hospitals and on different patient populations? Not always as well, according to research published online November 6 in PLOS Medicine.  Discuss
Deep-learning algorithm predicts Alzheimer's disease
November 7, 2018 -- By learning to identify the metabolic patterns of Alzheimer's disease, a deep-learning algorithm for brain FDG-PET studies can accurately predict the onset of this devastating disease years before a clinical diagnosis can be made, according to new research published online in Radiology.  Discuss
Machine learning can predict stroke treatment outcomes
October 30, 2018 -- Making use of imaging features and demographic information, machine-learning algorithms predicted 90-day outcomes in patients with acute ischemic stroke, offering potential as an aid for treatment decisions, according to research published online October 24 in the American Journal of Roentgenology.  Discuss
Deep learning improves detection of cerebral aneurysms
October 26, 2018 -- A deep-learning algorithm can provide an effective second assessment of MR angiography studies, helping to catch cerebral aneurysms that were missed by the radiologist during initial interpretation, Japanese researchers reported in an article published online October 22 in Radiology.  Discuss
ASTRO: RT, surgery up stage IV lung cancer survival
October 24, 2018 -- Stage IV lung cancer patients whose cancer has spread to a limited number of sites can live longer if they receive radiation therapy (RT) or surgery in addition to systemic therapy, according to research presented at the American Society for Radiation Oncology (ASTRO) conference in San Antonio.  Discuss
ASTRO: Blood test confirms HPV-related cancer remission
October 24, 2018 -- A biomarker blood test can accurately determine if patients with oropharyngeal squamous cell carcinoma related to human papillomavirus (HPV) infection are free from cancer following radiation therapy, according to research presented at this week's American Society for Radiation Oncology (ASTRO) meeting in San Antonio.  Discuss
AI can prescreen head CT studies for urgent findings
October 16, 2018 -- A set of artificial intelligence (AI) algorithms can prescreen head CT scans for urgent findings such as intracranial hemorrhage and cranial fracture, enabling triage of these cases for priority review by radiologists, according to research published online on October 11 in the Lancet.  Discuss
DeepSpine AI enhances grading of lumbar spinal stenosis
October 12, 2018 -- An artificial intelligence (AI) algorithm called DeepSpine can assist radiologists in the time-consuming and difficult task of grading spinal stenosis on lumbar spine MRI exams, according to researchers from the Massachusetts General Hospital and Brigham and Women's Hospital Center for Clinical Data Science in Boston.  Discuss