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, 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
AI can assess COVID-19 severity on chest x-rays
July 24, 2020 -- An artificial intelligence (AI) algorithm can quantitatively assess the severity of COVID-19 on frontal chest x-rays, offering potential as a clinical triage and workflow optimization tool, according to research published online July 22 in Radiology: Artificial Intelligence.  Discuss
CT textures predict interstitial lung disease survival
July 23, 2020 -- Quantitative analysis of texture patterns on CT exams in interstitial lung disease patients can yield better survival predictions than a radiologist's classification of usual interstitial pneumonia (UIP) versus non-UIP, according to research presented at last week's virtual ECR.  Discuss
ECR 2020: Radiologists, data scientists needed for AI
July 17, 2020 -- Greater involvement by radiologists and more help from data scientists are needed to improve the performance of artificial intelligence (AI) algorithms and expand their use in clinical practice, a leading Spanish expert told ECR Online registrants on Thursday.  Discuss
SNMMI 2020: AI analysis of PET could help classify prostate cancer
July 17, 2020 -- An artificial intelligence (AI) algorithm may be able to assist in classifying prostate lesions on 3D prostate-specific membrane antigen-PET exams, according to research presented at the annual meeting of the Society of Nuclear Medicine and Molecular Imaging (SNMMI).  Discuss
SNMMI 2020: PET tracer could image, treat glioblastoma
July 15, 2020 -- A new, relatively long-lived PET tracer can safely and effectively image patients with glioblastoma, according to research presented at the annual meeting of the Society of Nuclear Medicine and Molecular Imaging (SNMMI). The tracer also shows potential as a radiotheragnostic agent.  Discuss
SNMMI 2020: AI can aid in diagnosis of Parkinson's disease
July 14, 2020 -- An artificial intelligence (AI) algorithm was highly accurate for diagnosing Parkinson's disease on dopamine transporter SPECT exams, according to research presented at the annual meeting of the Society of Nuclear Medicine and Molecular Imaging (SNMMI).  Discuss
Pandemic sharply impacted imaging volume, operations
July 10, 2020 -- The COVID-19 pandemic drastically impacted imaging volume for radiology practices throughout the country and necessitated a variety of challenging operational adjustments. And some of these changes may be long-lasting, according to research published online July 9 in the Journal of the American College of Radiology.  Discuss