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 boosts assessment of cancer treatment response
June 3, 2020 -- Artificial intelligence (AI) software can significantly enhance assessment of cancer treatment response on serial CT exams by reducing errors, speeding up interpretations, and decreasing interobserver variability, according to research presented May 29 at the online American Society of Clinical Oncology meeting.  Discuss
AI can handle quality assessment of 3D cardiac MRI
June 2, 2020 -- An artificial intelligence (AI) algorithm can automatically assess image quality on 3D whole-heart cardiac MR images, achieving results similar to a human expert, according to research published online May 27 in Radiology: Artificial Intelligence.  Discuss
AI can aid radiologists in detecting pancreatic cancer
June 1, 2020 -- An artificial intelligence (AI) algorithm helped radiologists from Taiwan improve their performance in detecting pancreatic cancer on CT exams, demonstrating strong performance across a range of ethnicities, according to research published online May 26 in Lancet Digital Health.  Discuss
Gadolinium levels increase sharply in Tokyo rivers
May 28, 2020 -- The amount of gadolinium found in rivers around Tokyo has risen sharply over the last two decades, in line with a rapid proliferation of MRI scanners and an increasingly aging population that receives more contrast-enhanced exams, according to research published in the May issue of Marine Pollution Bulletin.  Discuss
At-home PACS workstations enable social distancing
May 22, 2020 -- Radiology departments can rapidly transition to mostly remote interpretations by radiologists at home during the COVID-19 pandemic, but they will need to navigate a number of difficult challenges along the way, according to a clinical perspective published online May 21 in the American Journal of Roentgenology.  Discuss
Can machine-learning models predict IR outcomes?
May 22, 2020 -- Machine-learning algorithms can utilize nonimaging data such as patient demographics and prior medical history to predict outcomes from interventional radiology (IR) procedures, according to research published online May 4 in the Journal of Vascular and Interventional Radiology.  Discuss
AI can detect, quantify traumatic brain injury on CT
May 20, 2020 -- An artificial intelligence (AI) algorithm was able to help accurately detect traumatic brain injury (TBI) on head CT exams, as well as assess the type of injury, quantify lesion burden, and measure lesion progression, U.K. researchers reported in an article published online May 14 in Lancet Digital Health.  Discuss
AI can differentiate normal, abnormal chest x-rays
May 19, 2020 -- Artificial intelligence (AI) algorithms can differentiate normal and abnormal chest radiographs with an accuracy on par with experienced radiologists, enabling triage of these studies for priority review, according to research published online May 14 in npj Digital Medicine.  Discuss
AI-based image reconstruction poses challenges
May 15, 2020 -- The use of deep learning to enhance image reconstruction has been considered to be a key application for artificial intelligence (AI) in radiology. A multinational team of researchers is warning, however, that the technology is prone to instability issues that could potentially even lead to a wrong diagnosis.  Discuss
Nvidia unveils new CT AI models for COVID-19
May 14, 2020 -- Graphics processing unit technology developer Nvidia has introduced two new artificial intelligence (AI) models trained to provide lung segmentation and detection of COVID-19 on CT exams. The company is making these models available to researchers to facilitate the development of new predictive AI algorithms.  Discuss