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 optimize risk stratification of thyroid nodules
May 24, 2019 -- An artificial intelligence (AI) algorithm improved the specificity of the American College of Radiology Thyroid Imaging Reporting and Data System, while also making the thyroid nodule risk-classification system easier for radiologists to use, according to research published online May 21 in Radiology.  Discuss
CAD software helps avoid contrast use in MS patients
May 23, 2019 -- Using computer-aided detection (CAD) software, 3D laboratory radiologic technologists can determine if patients with multiple sclerosis (MS) need a contrast agent for their brain MRI exam while they're still in the scanner, according to research posted online May 16 in the Journal of the American College of Radiology.  Discuss
Google AI accurately assesses CT lung screening scans
May 22, 2019 -- An artificial intelligence (AI) model developed by Google can assess cancer risk on CT lung cancer screening studies as well as, or even better than, experienced radiologists -- potentially enabling automated evaluation of these exams, according to research published online March 20 in Nature Medicine.  Discuss
ISMRM: Personalized breast cancer screening is at hand
May 20, 2019 -- The advent of better risk assessment methods and more appropriate utilization of imaging modalities like breast MRI open the door for personalized breast cancer screening strategies, according to a presentation by Dr. Christiane Kuhl at the International Society for Magnetic Resonance in Medicine (ISMRM) annual meeting in Montreal.  Discuss
ISMRM: AI can generate synthetic contrast-enhanced MRI
May 17, 2019 -- MONTREAL - An artificial intelligence (AI) algorithm can produce high-quality synthetic contrast-enhanced brain MR images, potentially helping to avoid usage of gadolinium-based contrast agents, according to a presentation Thursday at the International Society for Magnetic Resonance in Medicine (ISMRM) annual meeting.  Discuss
ISMRM: AI paves the way for precision medicine
May 16, 2019 -- MONTREAL - Artificial intelligence (AI) in medical imaging could open the door for huge advances in healthcare by assisting in diagnosis, the understanding of disease development, and the prediction of patient outcomes, according to a talk at the International Society for Magnetic Resonance in Medicine (ISMRM) annual meeting.  Discuss
ISMRM: Deep learning moves toward clinical practice
May 15, 2019 -- MONTREAL - The number of deep-learning algorithms available for radiology applications is rapidly increasing, and it's time to figure out how to make these tools clinically relevant, according to a presentation Tuesday at the International Society for Magnetic Resonance in Medicine (ISMRM) annual meeting.  Discuss
Survey assesses worldwide opinion on radiology AI
May 13, 2019 -- Radiologists and radiology residents from the U.S., the Netherlands, Germany, and the Czech Republic have teamed up to launch an online survey designed to gauge how members of the global radiology community view the use of artificial intelligence (AI) in their specialty.  Discuss
Deep-learning software accurately detects ACL tears
May 13, 2019 -- Software based on deep-learning algorithms provided fully automated diagnosis of full-thickness anterior cruciate ligament (ACL) tears on MRI scans at an accuracy level comparable to experienced clinical radiologists, according to research published online May 8 in Radiology: Artificial Intelligence.  Discuss
Deep learning finds, segments brain metastases on MRI
May 10, 2019 -- A deep-learning algorithm automatically detected and segmented brain metastases on multisequence MRI, showing potential to help radiologists and radiation oncologists with these tedious and time-consuming tasks, according to research published online May 2 in the Journal of Magnetic Resonance Imaging.  Discuss