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 identify sarcopenia in glioblastoma patients
October 30, 2020 -- An artificial intelligence (AI) algorithm can identify sarcopenia on routine brain MRI scans of patients with glioblastoma, enabling predictions of how long the patient might survive this aggressive cancer, researchers will report at next week's National Cancer Research Institute Virtual Showcase in the U.K.  Discuss
Radiomics can aid management of lung cancer patients
October 26, 2020 -- Researchers from the H. Lee Moffitt Cancer Center and Research Institute in Tampa, FL, have reported that CT radiomics features can help predict tumor behavior in screening-detected lung cancer. They've also found that PET/CT radiomics shows promise for guiding non-small cell lung cancer treatment decisions.  Discuss
MRI biomarker portends preterm infant development risks
October 20, 2020 -- A quantitative MRI software application can predict which preterm infants will go on to develop motor development disorders such as cerebral palsy, potentially enabling risk stratification and early interventions in these children, according to research published online September 28 in Scientific Reports.  Discuss
Feedback on FDA's proposed AI rules had industry ties
October 16, 2020 -- Nearly two-thirds of commenters on last year's proposed regulatory framework from the U.S. Food and Drug Administration (FDA) for continuously learning artificial intelligence (AI) algorithms had financial ties to industry, while an additional 29% had unclear ties, according to a study posted online October 14 in BMJ Open.  Discuss
Are women ready for AI to read their mammograms?
October 16, 2020 -- Most women in a recent Dutch survey indicated they weren't comfortable yet with only an artificial intelligence (AI) algorithm interpreting their screening mammograms, preferring AI be used instead as a second reader, according to research published online October 12 in the Journal of the American College of Radiology.  Discuss
AI aids detection of metastasis on bone scintigraphy
October 13, 2020 -- An artificial intelligence (AI) model was able to help nuclear medicine physicians improve their performance in diagnosing bone metastases on bone scintigraphy exams in patients with breast, lung, prostate, or other cancers, according to research published online October 12 in Scientific Reports.  Discuss
AI algorithm detects COVID, flu, other pneumonia
October 12, 2020 -- An artificial intelligence (AI) algorithm yielded a high level of accuracy for distinguishing between cases of COVID-19, influenza A/B, nonviral community-acquired pneumonia, and healthy subjects on CT exams, Chinese researchers reported in an article published online October 9 in Nature Communications.  Discuss
Can AI interpret chest x-rays as well as rad residents?
October 9, 2020 -- Artificial intelligence (AI) software can yield similar or even, by some measures, better performance than radiology residents in interpreting chest radiographs, and it could potentially be utilized for automated preliminary assessments of these exams, according to research published online October 9 in JAMA Network Open.  Discuss
Image-guided biopsy spots residual breast cancer
October 7, 2020 -- Image-guided biopsies performed after breast cancer patients have been treated with neoadjuvant chemotherapy can predict the presence of residual cancer, potentially avoiding the need for surgery, a multinational team of researchers reported in an article published online October 7 in JAMA Surgery.  Discuss
CORISK algorithm predicts oxygen need in COVID-19 patients
October 5, 2020 -- A deep-learning algorithm called CORISK can predict if a patient with COVID-19 symptoms will need supplemental oxygen. CORISK was developed using a federated-learning initiative involving 20 hospitals worldwide, performs well, and is generalizable, according to an announcement Monday at the Nvidia GPU Technology Conference.  Discuss