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 characterizes breast masses on ultrasound
March 21, 2019 -- An artificial intelligence (AI) algorithm distinguished between benign and malignant masses on breast ultrasound at a high level of accuracy -- perhaps even exceeding the diagnostic performance of less-experienced radiologists, according to research published online March 19 in the Japanese Journal of Radiology.  Discuss
AI, radiomics can help predict chemotherapy response
March 20, 2019 -- Artificial intelligence (AI) and radiomics can identify which non-small cell lung cancer patients are likely to respond to chemotherapy, potentially enabling likely nonresponders to be shifted to alternative treatments, according to research published online March 20 in Radiology: Artificial Intelligence.  Discuss
AI can predict cognitive development from MRI at birth
March 19, 2019 -- By analyzing the white-matter connections of an infant's brain at birth on MRI, an artificial intelligence (AI) algorithm can predict the level of cognitive development at age 2 -- offering the potential to facilitate early interventions in at-risk children, according to research published in the May 15 issue of NeuroImage.  Discuss
What do patients think about radiology AI?
March 19, 2019 -- What do patients know about the use of artificial intelligence (AI) in radiology? While they may not understand much about the technology, they do have some thoughts on the subject, according to a qualitative study published online March 14 in the Journal of the American College of Radiology.  Discuss
Mobile App Spotlight: Rads Consult
March 18, 2019 -- AuntMinnie.com presents the next article in an ongoing series highlighting notable mobile apps in radiology. In this installment, we take a look at Rads Consult, created to assist referring physicians in appropriately ordering imaging studies, Rads Consult is a radiology-specific clinical decision support (CDS) tool designed for use on mobile devices.  Discuss
Automated algorithms track adherence to follow-up advice
March 15, 2019 -- An algorithm based on natural language processing was able to analyze radiology reports for text that recommended follow-up imaging, while a second algorithm determined whether patients followed the recommendations, according to an article published online March 12 in the American Journal of Roentgenology.  Discuss
Accuracy of AI algorithms may drop with independent data
March 13, 2019 -- The performance of artificial intelligence (AI) algorithms for classifying chest x-rays dropped when they were used with patient populations that were different from the ones on which they were trained, according to research published online March 5 in the Journal of Digital Imaging.  Discuss
Mammo AI software yields workflow, economic benefits
March 12, 2019 -- A computer-aided detection (CAD) algorithm based on artificial intelligence (AI) proved to be better than traditional CAD in helping radiologists detect breast cancer. The AI-based CAD could also improve efficiency and increase revenues, according to research presented at ECR 2019 in Vienna.  Discuss
AAOS: QCT finds low bone density in lumbar fusion patients
March 12, 2019 -- Preoperative quantitative CT (QCT) scans in patients about to receive spinal fusion surgery show that many have low bone density that was previously undiagnosed, according to research presented March 12 at the annual meeting of the American Academy of Orthopaedic Surgeons (AAOS) in Las Vegas.  Discuss
Most radiology AI studies lack proper validation
March 8, 2019 -- Radiology artificial intelligence (AI) algorithms must be properly validated on external image data before being used clinically for image analysis tasks. But most studies in the literature haven't performed this crucial step, according to research published in the March issue of the Korean Journal of Radiology.  Discuss