Artificial intelligence in radiology: where are we going?

Merih Deniz Toruner; Yuli Wang; Zhicheng Jiao; Harrison Bai

doi:10.1016/j.ebiom.2024.105435

Artificial intelligence in radiology: where are we going?

Merih Deniz Toruner, Yuli Wang, Zhicheng Jiao, Harrison Bai

School of Medicine

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

Original language	English (US)
Article number	105435
Journal	EBioMedicine
Volume	109
DOIs	https://doi.org/10.1016/j.ebiom.2024.105435
State	Published - Nov 2024

ASJC Scopus subject areas

General Biochemistry, Genetics and Molecular Biology

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10.1016/j.ebiom.2024.105435

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@article{49cb3784e8a442529460063121f45553,

title = "Artificial intelligence in radiology: where are we going?",

author = "Toruner, {Merih Deniz} and Yuli Wang and Zhicheng Jiao and Harrison Bai",

year = "2024",

month = nov,

doi = "10.1016/j.ebiom.2024.105435",

language = "English (US)",

volume = "109",

journal = "EBioMedicine",

issn = "2352-3964",

publisher = "Elsevier B.V.",

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TY - JOUR

T1 - Artificial intelligence in radiology

T2 - where are we going?

AU - Toruner, Merih Deniz

AU - Wang, Yuli

AU - Jiao, Zhicheng

AU - Bai, Harrison

PY - 2024/11

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DO - 10.1016/j.ebiom.2024.105435

M3 - Comment/debate

C2 - 39481206

AN - SCOPUS:85207557548

SN - 2352-3964

VL - 109

JO - EBioMedicine

JF - EBioMedicine

M1 - 105435

ER -

Artificial intelligence in radiology: where are we going?

ASJC Scopus subject areas

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