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 tops recent imaging informatics highlights
July 3, 2019 -- Artificial intelligence (AI) has been the driving force behind the most important recent advances achieved in imaging informatics, according to a presentation last week at the Society for Imaging Informatics in Medicine (SIIM) annual meeting in Denver.  Discuss
SIIM: AI can detect, classify TB on chest x-rays
July 1, 2019 -- DENVER - An artificial intelligence (AI) algorithm can accurately detect, localize, and classify suspected tuberculosis (TB) on chest x-rays, according to research presented Thursday at the Society for Imaging Informatics in Medicine (SIIM) annual meeting.  Discuss
SIIM: AI exploits CT sinogram data to find lung nodules
June 28, 2019 -- DENVER - An artificial intelligence (AI) algorithm can accurately detect lung nodules on CT by analyzing both the reconstructed image and the raw sinogram data, according to research presented Thursday at the Society for Imaging Informatics in Medicine (SIIM) annual meeting.  Discuss
SIIM: AI can detect diseases of cerebral hemispheres
June 27, 2019 -- DENVER - An artificial intelligence (AI) algorithm performed as well as an academic neuroradiologist for identifying diseases in the cerebral hemispheres on brain MRI scans in a new study, presented Wednesday at the Society for Imaging Informatics in Medicine (SIIM) annual meeting.  Discuss
AI can help predict heart attacks, death on CCTA
June 25, 2019 -- An artificial intelligence (AI) algorithm can predict heart attacks and death better on coronary CT angiography (CCTA) studies than risk-assessment methods such as the Coronary Artery Disease Reporting and Data System, according to research published online June 25 in Radiology.  Discuss
AI can improve reproducibility of radiomics in CT
June 24, 2019 -- An artificial intelligence (AI) algorithm may be able to help overcome one of the biggest issues limiting the clinical use of radiomics in CT -- the low reproducibility of quantitative imaging features on images from different reconstruction algorithms, according to research published online June 18 in Radiology.  Discuss
AI enhances diagnostic performance in mammography
June 20, 2019 -- An artificial intelligence (AI) algorithm that analyzes mammograms and patient clinical information in electronic health records can accurately diagnose breast cancer -- even in many cases in which cancers are missed by radiologists, according to research published online June 18 in Radiology.  Discuss
CDs still prevail for giving patients access to images
June 13, 2019 -- The compact disc (CD) has increasingly become an obsolete form of storage that's no longer readily accessible by many computers. However, most hospitals still rely on this archaic medium to provide patients with copies of their imaging studies, according to research published online June 11 in Radiology.  Discuss
AI converts low-dose CT scans to high-quality studies
June 12, 2019 -- An artificial intelligence (AI) algorithm can transform low-dose CT (LDCT) scans into high-quality exams that radiologists may even prefer over LDCT studies produced via commercial iterative reconstruction techniques, according to research published online June 10 in Nature Machine Intelligence.  Discuss
Deep learning helps detect intracranial aneurysms
June 10, 2019 -- A deep-learning algorithm called HeadXNet can improve the performance of clinicians of varied specialties and levels of experience for detecting intracranial aneurysms on head CT angiography exams, according to research published online June 7 in JAMA Network Open.  Discuss