Santa Monica, California, November 28, 2017 (PR NewsWire) — DeepRadiology, a deep learning artificial intelligence medical company announces the world's first CT head system with performance exceeding radiologists. The system is able to detect clinically significant pathologies in CT scans of the head with error rates better than published error rates for radiologists.
The unique software system was created using the latest artificial intelligence techniques, the knowledge contained in all major radiology textbooks on the subject, and the cumulative experience of reviewing over 9 million CT scan images. The system is described in a paper published at https://arxiv.org/abs/1711.09313. DeepRadiology has developed similar systems for other CT scan types as well as images produced using plain x-rays, MR, ultrasound, mammography, and nuclear medicine. Please contact us if you are interested in our services.
In addition to leading experts in radiology and artificial intelligence, DeepRadiology is fortunate to have Yann LeCun, widely regarded as the 'inventor of deep learning', as a key part of our team.
DeepRadiology will be exhibiting at the annual meeting of the Radiological Society of North America (RSNA) which is the largest radiology meeting in the world with over 50,000 attendees. The RSNA will be meeting in Chicago from November 26 through December 1, 2017. Please visit us at McCormick Place, 2301 S King Dr, North Hall, Booth 8143.
DeepRadiology is a medical deep learning artificial intelligence company bringing together the brightest minds in the field to create revolutionary products that transform healthcare. DeepRadiology is headquartered in Southern California. For more information, visit http://www.deepradiology.com.
James Reed, 310-876-8517