Artificial Intelligence Explained for Nonexperts

Razavian N, Knoll F, Geras KJ (2020)

Publication Type: Journal article

Publication year: 2020

Journal

Seminars in Musculoskeletal Radiology Thieme Publishing / Georg Thieme Verlag

Book Volume: 24

Pages Range: 3-11

Article Number: 1900047

Journal Issue: 1

DOI: 10.1055/s-0039-3401041

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 with CRIS profile

Florian Knoll

Involved external institutions

NYU Langone Medical Center US United States (USA) (US) New York University (NYU) US United States (USA) (US)

How to cite

APA:

Razavian, N., Knoll, F., & Geras, K.J. (2020). Artificial Intelligence Explained for Nonexperts. Seminars in Musculoskeletal Radiology, 24(1), 3-11. https://dx.doi.org/10.1055/s-0039-3401041

MLA:

Razavian, Narges, Florian Knoll, and Krzysztof J. Geras. "Artificial Intelligence Explained for Nonexperts." Seminars in Musculoskeletal Radiology 24.1 (2020): 3-11.

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