Monday, December 11, 2017

News from RSNA 2017: How Utilization of Artificial Intelligence Will Impact Radiology

Artificial intelligence (AI) has become a permanent fixture in medical practice and if you are attending a recent conference, you will see or hear the words like deep learning, machine learning or artificial neural networks everywhere.

It is going to forever change how physicians work and will help in increasing workflow efficiency, improve diagnosis by new algorithm and totally change the way the patients and physicians interact.
AI is particularly useful in field of radiology, as it can scan thousands of X-rays or images in minutes, compare it with old reports and will act as a second set of eyes to confirm the physicians's diagnosis  and not replace physicians as feared.

Adam Flanders, M.D., co-director, neuroradiology and vice-chair of informatics at Jefferson University Hospitals, Philadelphia, and chair of the RSNA Radiology Informatics Committee, discusses the impact of AI at Radiological Society of North America annual meeting( RSNA) 2017. 

Watch the video here.






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