Artificial Intelligence Explained for Nonexperts.

Journal: Seminars in musculoskeletal radiology
Published Date:

Abstract

Artificial 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.

Authors

  • Narges Razavian
    1 Department of Computer Science, New York University , New York, New York.
  • Florian Knoll
    Center for Biomedical Imaging, Department of Radiology, NYU School of Medicine, New York, New York, USA.
  • Krzysztof J Geras
    2 Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, NY.