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 analyzes likelihood, extent of COVID-19 on chest CT
August 6, 2020 -- A freely available artificial intelligence (AI) algorithm can yield comparable diagnostic performance to radiologists for assessing the likelihood and severity of COVID-19 on noncontrast chest CT exams in patients suspected of having the disease, according to research published online in Radiology on July 30.  Discuss
Russian scientists develop breast MRI device
August 5, 2020 -- A group of Russian scientists have developed a device that can enable existing MRI scanners to perform breast MRI without the need for specialized breast coils. They shared their results in research published online July 31 in Nature Communications.  Discuss
Pediatric EDs using more ultrasound, MRI instead of CT
August 3, 2020 -- Although pediatric emergency departments (EDs) performed fewer CT exams between 2009 and 2018, their utilization of advanced imaging increased overall due to expanded use of MRI and ultrasound exams, according to research published online August 3 in JAMA Pediatrics.  Discuss
COVID-19 likely more than a respiratory illness in kids
August 3, 2020 -- A disease associated with COVID-19 that causes multiple organ failure in children presents imaging findings that are different than a typical acute infection, indicating that COVID-19 is likely far more than a respiratory illness in kids, according to an article published online July 30 in Radiology: Cardiothoracic Imaging.  Discuss
Federated learning yields high-quality AI model
July 31, 2020 -- Federated learning -- an approach to training deep-learning models that incorporates data from other sites without sharing the actual data -- can protect patient privacy and enable more-generalizable radiology artificial intelligence (AI) algorithms, according to research published online July 28 in Scientific Reports.  Discuss
Cancer screenings drop precipitously due to COVID-19
July 28, 2020 -- The number of screening exams for colorectal and breast cancer performed at 20 U.S. hospitals dropped by nearly 90% in April due to the COVID-19 pandemic, according to research published online July 27 in JCO Clinical Cancer Informatics.  Discuss
CT radiomics can predict COVID-19 pneumonia outcomes
July 28, 2020 -- Radiomics features on noncontrast-enhanced chest CT exams can help to identify which patients with COVID-19 pneumonia will need to be admitted to the intensive care unit. They can also predict patient outcomes, according to research published online July 23 in Radiology: Cardiothoracic Imaging.  Discuss
AI, radiomics can predict stroke treatment success
July 28, 2020 -- Artificial intelligence (AI) and radiomics can help to predict if a particular treatment strategy for acute ischemic stroke will be successful and how difficult the procedure will be, potentially paving the way for personalized endovascular patient management, according to research published online July 20 in Stroke.  Discuss
Radiomics can predict treatment outcome for NSCLC
July 27, 2020 -- Radiomics features on pretreatment FDG-PET exams can foretell outcomes in patients with non-small cell lung cancer (NSCLC), according to research presented at the 2020 virtual annual meeting of the Society of Nuclear Medicine and Molecular Imaging.  Discuss
AI spots cervical cancer lymph node metastasis on MRI
July 24, 2020 -- An artificial intelligence (AI) algorithm was able to preoperatively identify lymph node metastasis on MRI in patients with cervical cancer, potentially enabling some patients to avoid unnecessary surgery, according to research published online July 24 in JAMA Network Open.  Discuss