A framework to integrate artificial intelligence training into radiology residency programs: preparing the future radiologist

被引:0
|
作者
Maria Jorina van Kooten
Can Ozan Tan
Elfi Inez Saïda Hofmeijer
Peter Martinus Adrianus van Ooijen
Walter Noordzij
Maria Jolanda Lamers
Thomas Christian Kwee
Rozemarijn Vliegenthart
Derya Yakar
机构
[1] University Medical Center Groningen,Department of Radiology, Medical Imaging Center
[2] University of Groningen,Robotics and Mechatronics Group, Faculty of Electrical Engineering, Mathematics, and Computer Science
[3] University of Twente,Department of Radiation Oncology
[4] University Medical Center Groningen,Machine Learning Lab, Data Science Center in Health (DASH)
[5] University of Groningen,Department of Nuclear Medicine and Molecular Imaging, Medical Imaging Center
[6] University Medical Center Groningen,undefined
[7] University of Groningen,undefined
[8] University Medical Center Groningen,undefined
[9] University of Groningen,undefined
来源
关键词
Artificial intelligence; Curriculum; Medical informatics; Training; Residency;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 50 条
  • [1] A framework to integrate artificial intelligence training into radiology residency programs: preparing the future radiologist
    van Kooten, Maria Jorina
    Tan, Can Ozan
    Hofmeijer, Elfi Inez Saida
    van Ooijen, Peter Martinus Adrianus
    Noordzij, Walter
    Lamers, Maria Jolanda
    Kwee, Thomas Christian
    Vliegenthart, Rozemarijn
    Yakar, Derya
    INSIGHTS INTO IMAGING, 2024, 15 (01)
  • [2] Artificial Intelligence in Radiology Residency Training
    Forney, Michael C.
    McBride, Aaron F.
    SEMINARS IN MUSCULOSKELETAL RADIOLOGY, 2020, 24 (01) : 74 - 80
  • [3] Systematic Review of Radiology Residency Artificial Intelligence Curricula: Preparing Future Radiologists for the Artificial Intelligence Era
    Garin, Sean P.
    Zhang, Vivian
    Jeudy, Jean
    Parekh, Vishwa S.
    Yi, Paul H.
    JOURNAL OF THE AMERICAN COLLEGE OF RADIOLOGY, 2023, 20 (06) : 561 - 569
  • [4] It is Time to Incorporate Artificial Intelligence in Radiology Residency Programs
    Ng, Kwan Hoong
    Tan, Cher Heng
    KOREAN JOURNAL OF RADIOLOGY, 2023, 24 (03) : 177 - 179
  • [5] The Role of Artificial Intelligence in Diagnostic Radiology: A Survey at a Single Radiology Residency Training Program
    Collado-Mesa, Fernando
    Alvarez, Edilberto
    Arheart, Kris
    JOURNAL OF THE AMERICAN COLLEGE OF RADIOLOGY, 2018, 15 (12) : 1753 - 1757
  • [6] The augmented radiologist: artificial intelligence in the practice of radiology
    Erich Sorantin
    Michael G. Grasser
    Ariane Hemmelmayr
    Sebastian Tschauner
    Franko Hrzic
    Veronika Weiss
    Jana Lacekova
    Andreas Holzinger
    Pediatric Radiology, 2022, 52 : 2074 - 2086
  • [7] The augmented radiologist: artificial intelligence in the practice of radiology
    Sorantin, Erich
    Grasser, Michael G.
    Hemmelmayr, Ariane
    Tschauner, Sebastian
    Hrzic, Franko
    Weiss, Veronika
    Lacekova, Jana
    Holzinger, Andreas
    PEDIATRIC RADIOLOGY, 2022, 52 (11) : 2074 - 2086
  • [8] Preparing for the future of Artificial Intelligence
    Alan Bundy
    AI & SOCIETY, 2017, 32 (2) : 285 - 287
  • [9] What Should Radiology Residency and Fellowship Training in Artificial Intelligence Include? A Trainee's Perspective-Radiology In Training
    Tejani, Ali S.
    Fielding, Julia R.
    Peshock, Ronald M.
    RADIOLOGY, 2021, 299 (02) : E243 - E245
  • [10] Global Radiology Training Prevalence Among Radiology Residency Programs
    Haver, Hana L.
    Rosen, Max P.
    DeBenedectis, Carolynn M.
    CURRENT PROBLEMS IN DIAGNOSTIC RADIOLOGY, 2021, 50 (02) : 141 - 146