![]() Dreyer believes AI will complement radiology and enable radiologists to become leaders in precision medicine rather than becoming wary of AI, he said, radiology could work with AI to optimize the delivery of patient care. With artificial intelligence (AI) rapidly advancing thanks to events such as the ImageNet Large Scale Visual Recognition Challenge Competition, Dr. Wachter, MD, discussed the good and the bad of the digital revolution in radiology. While enterprise imaging remains the core radiology IT technology on display at RSNA, the big buzz this year was artificial intelligence and machine learning.Īs part of their Opening Session, Keith J. It almost seems that many radiology IT companies (or business segments) are planning to release new product introductions at HIMSS rather than at RSNA. At RSNA 2016, the majority of significant new product announcements were modalities, not information technology.
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