Artificial intelligence in radiology

Ahmed Hosny; Chintan Parmar; John F Quackenbush; Lawrence Howard Schwartz; Hugo J.W.L. Aerts

doi:10.1038/s41568-018-0016-5

Artificial intelligence in radiology

Ahmed Hosny (Harvard University) iD Chintan Parmar (Harvard University) iD John F Quackenbush (Dana-Farber Cancer Institute) iD Lawrence Howard Schwartz (NewYork–Presbyterian Hospital) Hugo J.W.L. Aerts (Brigham and Women's Hospital) iD

Journal: Nature reviews. Cancer • 2018-05-17 • Nature Portfolio • ISSN: 1474-175X

Abstract

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Subjects & Keywords

# AI in cancer detection # Computer Science # Artificial Intelligence in Healthcare and Education # Medicine # Radiomics and Machine Learning in Medical Imaging

How to Cite this Article

                    Ahmed Hosny, Chintan Parmar, John F Quackenbush, et al. (2018). "Artificial intelligence in radiology". Nature reviews. Cancer. https://doi.org/10.1038/s41568-018-0016-5                

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Open Access

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Identifiers & Provenance

DOI: https://doi.org/10.1038/s41568-018-0016-5 ↗
PMCID: 6268174 ↗
PMID: 29777175 ↗
OpenAlex: W2803760365 ↗
Primary Index: OPENALEX