Identifying and Addressing Barriers to an Artificial Intelligence Curriculum

被引：11

作者：

Tejani, Ali S. ^{[1
]}

机构：

[1] Univ Texas Southwestern Med Ctr Dallas, Dept Radiol, 5323 Harry Hines Blvd, Dallas, TX 75390 USA

来源：

JOURNAL OF THE AMERICAN COLLEGE OF RADIOLOGY | 2021年 / 18卷 / 04期

关键词：

D O I：

10.1016/j.jacr.2020.10.001

中图分类号：

R8 [特种医学]; R445 [影像诊断学];

学科分类号：

1002 ; 100207 ; 1009 ;

摘要：

引用

页码：605 / 607

页数：3

共 8 条

[1] The Role of Artificial Intelligence in Diagnostic Radiology: A Survey at a Single Radiology Residency Training Program [J].

Collado-Mesa, Fernando ;

Alvarez, Edilberto ;

Arheart, Kris .

JOURNAL OF THE AMERICAN COLLEGE OF RADIOLOGY, 2018, 15 (12) :1753-1757

[2]

Ooi Su Kai Gideon, 2021, Singapore Med J, V62, P126, DOI 10.11622/smedj.2019141

[3] Integrating artificial intelligence into the clinical practice of radiology: challenges and recommendations [J].

Recht, Michael P. ;

Dewey, Marc ;

Dreyer, Keith ;

Langlotz, Curtis ;

Niessen, Wiro ;

Prainsack, Barbara ;

Smith, John J. .

EUROPEAN RADIOLOGY, 2020, 30 (06) :3576-3584

[4]

Rozenshtein A., 2019, Acad Radiol

[5] Toward Augmented Radiologists: Changes in Radiology Education in the Era of Machine Learning and Artificial Intelligence [J].

Tajmir, Shahein H. ;

Alkasab, Tank K. .

ACADEMIC RADIOLOGY, 2018, 25 (06) :747-750

[6] The TechnoPhysics Year: Transformation of Diagnostic Radiology's Clinical Year as a Matter of Necessity [J].

Wasserman, Paul ;

Freels, Parker ;

Szames, David ;

Kurra, Chandana ;

Hernandez, Mauricio .

ACADEMIC RADIOLOGY, 2021, 28 (09) :1287-1291

[7] Developing a curriculum in artificial intelligence for emergency radiology [J].

Weisberg, Edmund M. ;

Fishman, Elliot K. .

EMERGENCY RADIOLOGY, 2020, 27 (04) :359-360

[8] The Need for a Machine Learning Curriculum for Radiologists [J].

Wood, Monica J. ;

Tenenholtz, Neil A. ;

Geis, J. Raymond ;

Michalski, Mark H. ;

Andriole, Katherine P. .

JOURNAL OF THE AMERICAN COLLEGE OF RADIOLOGY, 2019, 16 (05) :740-742

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