| Literature DB >> 31991447 |
Narges Razavian1, Florian Knoll2, Krzysztof J Geras3.
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. Thieme Medical Publishers 333 Seventh Avenue, New York, NY 10001, USA.Entities:
Mesh:
Year: 2020 PMID: 31991447 PMCID: PMC7393604 DOI: 10.1055/s-0039-3401041
Source DB: PubMed Journal: Semin Musculoskelet Radiol ISSN: 1089-7860 Impact factor: 1.777