Artificial Intelligence and Radiology: Collaboration Is Key

Paul H. Yi; Ferdinand K. Hui; Daniel S.W. Ting

doi:10.1016/j.jacr.2017.12.037

Artificial Intelligence and Radiology: Collaboration Is Key

Paul H. Yi, Ferdinand K. Hui, Daniel S.W. Ting

School of Medicine

Research output: Contribution to journal › Comment/debate › peer-review

12 Scopus citations

Original language	English (US)
Pages (from-to)	781-783
Number of pages	3
Journal	Journal of the American College of Radiology
Volume	15
Issue number	5
DOIs	https://doi.org/10.1016/j.jacr.2017.12.037
State	Published - May 2018

ASJC Scopus subject areas

Radiology Nuclear Medicine and imaging

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10.1016/j.jacr.2017.12.037

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@article{086944d3b60b4e9f9c9146313e47da8f,

title = "Artificial Intelligence and Radiology: Collaboration Is Key",

author = "Yi, {Paul H.} and Hui, {Ferdinand K.} and Ting, {Daniel S.W.}",

year = "2018",

month = may,

doi = "10.1016/j.jacr.2017.12.037",

language = "English (US)",

volume = "15",

pages = "781--783",

journal = "Journal of the American College of Radiology",

issn = "1546-1440",

publisher = "Elsevier BV",

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}

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T1 - Artificial Intelligence and Radiology

T2 - Collaboration Is Key

AU - Yi, Paul H.

AU - Hui, Ferdinand K.

AU - Ting, Daniel S.W.

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DO - 10.1016/j.jacr.2017.12.037

M3 - Comment/debate

C2 - 29398492

AN - SCOPUS:85041295061

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SP - 781

EP - 783

JO - Journal of the American College of Radiology

JF - Journal of the American College of Radiology

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Artificial Intelligence and Radiology: Collaboration Is Key

ASJC Scopus subject areas

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