Articles posted in: AI in Radiology
Should We Ignore, Follow, or Biopsy? Impact of AI Decision Support on Breast Ultrasound Lesion Assessment
New 900-Case Peer-Reviewed Clinical Research Published by the American Journal of Roentgenology Authors: Victoria L. Mango, Mary Sun, Ralph T. Wynn and Richard Ha Click the image below…
The AI effect: How AI is making health care more human
MIT Technology Review | GE Healthcare Health-care institutions have been anticipating the impact that artificial intelligence (AI) will have on the performance and efficiency…
International evaluation of an AI system for breast cancer screening
Abstract Screening mammography aims to identify breast cancer at earlier stages of the disease, when treatment can be more successful1. Despite the existence of…
New Findings Show AI Software Improves Breast Cancer Detection and Physician Accuracy
CHICAGO, Dec. 19, 2019 /PRNewswire/ — A New York City based large volume private practice radiology group conducted a quality assurance review that included an 18 month software…
True Detectives: These Human Owls Are Using AI To Catch Cancer
Not much gets past Chad McClennan and his elite detective squad of owls (yes, you read that right). The “chief executive owl” of the…
FDA Clears Koios DS™ Breast 2.0 to Assist Physicians with AI-Based Software
Koios Medical, Inc has received 510(k) clearance from the U.S. Food and Drug Administration for Koios DS (Decision Support) Breast 2.0, a new version…
Development of Artificial Intelligence in Women’s Health Emphasizes Value
Greg Freiherr of Imaging Technology News stopped by the Koios Medical booth at the 2019 SBI/ACR Breast Imaging Symposium in Hollywood, FL to learn…
[Expert Roundtable] Why Machine Learning Is Changing Medical Imaging
Learn from the machine learning experts about Why the synergy of radiologists and AI makes healthcare better What IT departments need to know to…
Future Proof: How can radiologists go beyond AI buzzwords to advance their careers?
If you think you still have plenty of time to prepare for AI, think again. The future is now, and radiologists need to get…