Erik Ridley

Erik is senior editor at 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
Can AI find brain hemorrhage as well as radiologists?
October 22, 2019 -- An artificial intelligence (AI) algorithm was able to accurately identify acute intracranial hemorrhage on head CT scans and even find some tiny hemorrhages that could be overlooked by radiologists, according to research published online October 21 in the Proceedings of the National Academy of Sciences.  Discuss
CDC names vaping-related illness, issues new guidance
October 15, 2019 -- The U.S. Centers for Disease Control and Prevention (CDC) has updated its initial recommendation for healthcare providers on how to deal with vaping-associated illness, which the CDC has now named e-cigarette, or vaping, product use-associated lung injury (EVALI).  Discuss
Patient photos yield clinical benefits in radiography
October 14, 2019 -- Photos of patients taken at the same time they receive a portable radiography exam can yield a variety of clinical benefits for radiologists, such as reduced errors in diagnosis and treatment, according to research published online October 8 in the American Journal of Roentgenology.
New AI training model addresses data privacy concerns
October 14, 2019 -- A new approach to training artificial intelligence (AI) algorithms on imaging data from multiple institutions can produce high-performing models -- while still preserving patient privacy, according to new research from graphics processing unit technology developer Nvidia and King's College London.  Discuss
4 steps for physicians to influence AI legal issues
October 9, 2019 -- The adoption of artificial intelligence (AI) in clinical practice can engender complex medicolegal issues, but physicians can take certain actions to shape how liability determinations will play out, according to an article published online October 4 in the Journal of the American Medical Association.  Discuss
What's the best way to protect your PACS?
October 8, 2019 -- It can be challenging for healthcare institutions to protect their PACS against cybersecurity threats. In an effort to help, the U.S. National Institute of Standards and Technology has published a draft practice guide aimed at helping healthcare organizations achieve PACS security.  Discuss
AI model could speed up pneumonia diagnosis in ED
October 4, 2019 -- An artificial intelligence (AI) algorithm for chest x-rays that was tested in real-time in the emergency department (ED) could improve the quality of care for patients suspected to have pneumonia, according to research presented on September 30 at the European Respiratory Society International Congress in Madrid.  Discuss
Societies team up to promote ethics in radiology AI
October 2, 2019 -- The adoption of artificial intelligence (AI) in radiology engenders complex societal and ethical issues, and it's time to begin developing codes of ethics and practice for the technology, according to a statement published October 2 by seven radiology and imaging informatics organizations in North America and Europe.  Discuss
AI algorithm can accurately diagnose appendicitis
October 1, 2019 -- By analyzing lab values and ultrasound data, an artificial intelligence (AI) algorithm can be highly accurate for diagnosing acute appendicitis and could potentially help avoid unnecessary surgery in two-thirds of patients without appendicitis, according to research published online September 25 in PLOS One.  Discuss
Video from C-MIMI 2019: Dr. Eliot Siegel on clinical adoption of AI
September 30, 2019 -- AUSTIN, TX - In a video interview, Dr. Eliot Siegel of the University of Maryland shared his highlights from the Society for Imaging Informatics in Medicine's Conference on Machine Intelligence in Medical Imaging (C-MIMI). He also offered his perspective on what's needed to drive the clinical adoption of artificial intelligence (AI) in radiology.  Discuss