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
NYMIIS: Next-gen PACS will include 'best-of-breed' AI
September 18, 2018 -- NEW YORK CITY - Will artificial intelligence (AI) replace radiologists over the next decade? No, but it will spark changes in PACS software that will enable radiologists to access the algorithms they want, Dr. Eliot Siegel told attendees on Monday at the New York Medical Imaging Informatics Symposium (NYMIIS).  Discuss
Is thermal ablation effective for treating NSCLC?
September 18, 2018 -- Thermal ablation is safe and effective for treating early-stage non-small cell lung cancer (NSCLC), and it could be a suitable alternative to stereotactic radiotherapy for patients who can't undergo surgery because of age or health status, according to research published online September 18 in Radiology.  Discuss
AI algorithm produces synthetic brain MR images
September 16, 2018 -- An artificial intelligence (AI) algorithm can produce synthetic brain MR images, solving a number of challenges in training AI algorithms, according to research presented on September 16 at the International Conference on Medical Image Computing and Computer Assisted Intervention in Granada, Spain.  Discuss
C-MIMI: Radiologists 'swarm' with AI to detect pneumonia
September 11, 2018 -- Are radiologists and artificial intelligence (AI) better together than apart? The answer is yes, at least for diagnosing pneumonia on chest x-rays, according to research presented on Monday at the 2018 Conference on Machine Intelligence in Medical Imaging (C-MIMI) in San Francisco.  Discuss
AI can distinguish between types of spondylitis on MRI
September 10, 2018 -- An artificial intelligence (AI) algorithm can differentiate between tuberculous spondylitis and pyogenic spondylitis on MRI at a level comparable to that of experienced musculoskeletal radiologists, according to research published online September 3 in Scientific Reports.  Discuss
Deep learning can accurately stage liver fibrosis on CT
September 7, 2018 -- Deep-learning software can accurately stage liver fibrosis on contrast-enhanced CT studies, according to an article published online September 4 in Radiology. In a new study from South Korea, the software outperformed four radiologists as well as two serum fibrosis markers calculated from laboratory tests.  Discuss
JAMA: 7 forces will drive adoption of AI in healthcare
August 31, 2018 -- The rapid uptake of artificial intelligence (AI) and deep learning in healthcare is being driven by seven factors, including an increasingly crucial role for digital imaging in medicine, according to one of two Viewpoint articles published online August 30 in the Journal of the American Medical Association.  Discuss
Chest CT CAD software speeds up reporting time
August 27, 2018 -- Chest CT computer-aided detection (CAD) software integrated into a radiology report dictation application reduced radiologist reading times by up to 44% over conventional manual interpretations, according to research published online in Academic Radiology.  Discuss
3 ways AI could be integrated into radiology workflow
August 24, 2018 -- As radiology artificial intelligence (AI) algorithms move toward clinical use, there are three possible models for how AI will best fit into the specialty's workflow, according to a talk on Thursday at the U.S. National Institute of Biomedical Imaging and Bioengineering's Artificial Intelligence in Medical Imaging workshop.  Discuss
Facebook, NYU feel need for MRI speed with AI
August 24, 2018 -- Can less really be more in MRI? Facebook and New York University (NYU) intend to find out with the launch of fastMRI, a collaborative project that aims -- with the help of artificial intelligence (AI) -- to make MRI scans up to 10 times faster by reconstructing diagnostic-quality images using much less raw data.  Discuss