Being intelligently efficient with AI -- Using imaging AI to help support disease detection

December 22, 2020 -- The increased volume and complexity of medical imaging is putting more pressure on radiologists to work more efficiently. Traditional productivity tools that have been used in medical imaging are at their limits.

Fortunately, artificial intelligence (AI) solutions can be leveraged for the early detection of disease in radiology. In this webinar, we hear from three radiology thought leaders:

Dr. Thomas Frauenfelder, professor of radiology and vice director of the Institute of Diagnostic Radiology at the University Hospital of Zurich.
Dr. Jan Fritz, full-time musculoskeletal radiologist, associate professor, and the division chief of musculoskeletal radiology at the NYU Grossman School of Medicine, NYU Langone Health.
Dr. Lawrence Tanenbaum, vice president and chief technology officer and director of advanced imaging at Radnet.

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