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- Narges Razavian, Florian Knoll, and Krzysztof J Geras.
- Department of Radiology and Population Health, NYU Langone Health and NYU Center for Data Science, New York, New York.
- Semin Musculoskelet Radiol. 2020 Feb 1; 24 (1): 3-11.
AbstractArtificial intelligence (AI) has made stunning progress in the last decade, made possible largely due to the advances in training deep neural networks with large data sets. Many of these solutions, initially developed for natural images, speech, or text, are now becoming successful in medical imaging. In this article we briefly summarize in an accessible way the current state of the field of AI. Furthermore, we highlight the most promising approaches and describe the current challenges that will need to be solved to enable broad deployment of AI in clinical practice.Thieme Medical Publishers 333 Seventh Avenue, New York, NY 10001, USA.
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