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
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
Free AI software can help triage COVID-19 on x-ray
May 13, 2020 -- A free commercial artificial intelligence (AI) software application can perform comparably to radiologists in triaging suspected COVID-19 cases on chest radiographs, according to research published online May 8 in Radiology.  Discuss
Bowel abnormalities found in COVID-19 patients
May 12, 2020 -- Abdominal imaging of COVID-19 patients has shown that bowel abnormalities, including ischemia, are common findings in these cases, according to research published online May 11 in Radiology. Cholestasis is also frequently present.  Discuss
AI may predict COVID-19 progression on chest x-rays
May 12, 2020 -- An artificial intelligence (AI) algorithm can predict how COVID-19 cases will progress based on analysis of baseline chest x-rays, offering potential to help in deciding how to triage these patients, according to a study posted online May 5 as a preprint on medRxiv.org.  Discuss
AI predicts Alzheimer's disease using MRI, patient info
May 8, 2020 -- An artificial intelligence (AI) model was able to predict a patient's risk for Alzheimer's disease by analyzing brain MRI exams and nonimaging factors such as age, gender, and cognitive test scores, according to research published online May 1 in Brain.  Discuss