Learning to perform and interpret radiographs is "hard". Learning to perform and interpret barium studies is "hard". Learning to perform and interpret sonograms is "hard". Learning to perform and interpret pneumoencephalograms was "hard". Learning to perform and interpret angiograms is "hard".

Artificial intelligence (AI) and deep learning technology continue to be hot topics in healthcare. The topics dominated RSNA 2017, generating plenty of interest as they become an integral part of health imaging. However, while many in healthcare are excited about its potential to change every workflow and improve accuracy, others remain skeptical. As the first month of 2018 slowly comes to an end, Health Imaging spoke with enterprise imaging and health informatics expert Paul Chang, MD, from the University of Chicago, about what practitioners and healthcare technology leaders should keep in mind regarding AI and deep learning in the coming year. It will take longer to incorporate and consume AI and deep learning than to adopt them.