Review of Artificial Intelligence Training Tools and Courses for Radiologists

Michael L. Richardson; Scott J. Adams; Atul Agarwal; William F. Auffermann; Anup K. Bhattacharya; Nikita Consul; Joseph S. Fotos; Linda C. Kelahan; Christine Lin; Hao S. Lo; Xuan V. Nguyen; Lonie R. Salkowski; Jessica M. Sin; Robert C. Thomas; Shafik Wassef; Ichiro Ikuta

doi:10.1016/j.acra.2020.12.026

Review of Artificial Intelligence Training Tools and Courses for Radiologists

Michael L. Richardson, Scott J. Adams, Atul Agarwal, William F. Auffermann, Anup K. Bhattacharya, Nikita Consul, Joseph S. Fotos, Linda C. Kelahan, Christine Lin, Hao S. Lo, Xuan V. Nguyen, Lonie R. Salkowski, Jessica M. Sin, Robert C. Thomas, Shafik Wassef, Ichiro Ikuta

Department of Radiology

Research output: Contribution to journal › Article › peer-review

12 Scopus citations

Abstract

Artificial intelligence (AI) systems play an increasingly important role in all parts of the imaging chain, from image creation to image interpretation to report generation. In order to responsibly manage radiology AI systems and make informed purchase decisions about them, radiologists must understand the underlying principles of AI. Our task force was formed by the Radiology Research Alliance (RRA) of the Association of University Radiologists to identify and summarize a curated list of current educational materials available for radiologists.

Original language	English (US)
Pages (from-to)	1238-1252
Number of pages	15
Journal	Academic Radiology
Volume	28
Issue number	9
DOIs	https://doi.org/10.1016/j.acra.2020.12.026
State	Published - Sep 2021

All Science Journal Classification (ASJC) codes

Radiology Nuclear Medicine and imaging

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10.1016/j.acra.2020.12.026

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Richardson, M. L., Adams, S. J., Agarwal, A., Auffermann, W. F., Bhattacharya, A. K., Consul, N., Fotos, J. S., Kelahan, L. C., Lin, C., Lo, H. S., Nguyen, X. V., Salkowski, L. R., Sin, J. M., Thomas, R. C., Wassef, S., & Ikuta, I. (2021). Review of Artificial Intelligence Training Tools and Courses for Radiologists. Academic Radiology, 28(9), 1238-1252. https://doi.org/10.1016/j.acra.2020.12.026

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title = "Review of Artificial Intelligence Training Tools and Courses for Radiologists",

abstract = "Artificial intelligence (AI) systems play an increasingly important role in all parts of the imaging chain, from image creation to image interpretation to report generation. In order to responsibly manage radiology AI systems and make informed purchase decisions about them, radiologists must understand the underlying principles of AI. Our task force was formed by the Radiology Research Alliance (RRA) of the Association of University Radiologists to identify and summarize a curated list of current educational materials available for radiologists.",

author = "Richardson, {Michael L.} and Adams, {Scott J.} and Atul Agarwal and Auffermann, {William F.} and Bhattacharya, {Anup K.} and Nikita Consul and Fotos, {Joseph S.} and Kelahan, {Linda C.} and Christine Lin and Lo, {Hao S.} and Nguyen, {Xuan V.} and Salkowski, {Lonie R.} and Sin, {Jessica M.} and Thomas, {Robert C.} and Shafik Wassef and Ichiro Ikuta",

note = "Publisher Copyright: {\textcopyright} 2021",

year = "2021",

month = sep,

doi = "10.1016/j.acra.2020.12.026",

language = "English (US)",

volume = "28",

pages = "1238--1252",

journal = "Academic Radiology",

issn = "1076-6332",

publisher = "Elsevier Inc.",

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Richardson, ML, Adams, SJ, Agarwal, A, Auffermann, WF, Bhattacharya, AK, Consul, N, Fotos, JS, Kelahan, LC, Lin, C, Lo, HS, Nguyen, XV, Salkowski, LR, Sin, JM, Thomas, RC, Wassef, S & Ikuta, I 2021, 'Review of Artificial Intelligence Training Tools and Courses for Radiologists', Academic Radiology, vol. 28, no. 9, pp. 1238-1252. https://doi.org/10.1016/j.acra.2020.12.026

TY - JOUR

T1 - Review of Artificial Intelligence Training Tools and Courses for Radiologists

AU - Richardson, Michael L.

AU - Adams, Scott J.

AU - Agarwal, Atul

AU - Auffermann, William F.

AU - Bhattacharya, Anup K.

AU - Consul, Nikita

AU - Fotos, Joseph S.

AU - Kelahan, Linda C.

AU - Lin, Christine

AU - Lo, Hao S.

AU - Nguyen, Xuan V.

AU - Salkowski, Lonie R.

AU - Sin, Jessica M.

AU - Thomas, Robert C.

AU - Wassef, Shafik

AU - Ikuta, Ichiro

PY - 2021/9

Y1 - 2021/9

N2 - Artificial intelligence (AI) systems play an increasingly important role in all parts of the imaging chain, from image creation to image interpretation to report generation. In order to responsibly manage radiology AI systems and make informed purchase decisions about them, radiologists must understand the underlying principles of AI. Our task force was formed by the Radiology Research Alliance (RRA) of the Association of University Radiologists to identify and summarize a curated list of current educational materials available for radiologists.

AB - Artificial intelligence (AI) systems play an increasingly important role in all parts of the imaging chain, from image creation to image interpretation to report generation. In order to responsibly manage radiology AI systems and make informed purchase decisions about them, radiologists must understand the underlying principles of AI. Our task force was formed by the Radiology Research Alliance (RRA) of the Association of University Radiologists to identify and summarize a curated list of current educational materials available for radiologists.

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DO - 10.1016/j.acra.2020.12.026

M3 - Article

C2 - 33714667

AN - SCOPUS:85108506186

SN - 1076-6332

VL - 28

SP - 1238

EP - 1252

JO - Academic Radiology

JF - Academic Radiology

IS - 9

ER -

Review of Artificial Intelligence Training Tools and Courses for Radiologists

Abstract

All Science Journal Classification (ASJC) codes

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