Korean Journal of Radiology

The Korean Society of Radiology (대한영상의학회)
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The Impact of Artificial Intelligence on Radiology Education in the Wake of Coronavirus Disease 2019

  • Ismail Mese (Department of Radiology, Health Sciences University, Erenköy Mental Health and Neurology Training and Research Hospital)
  • Received : 2023.03.27
  • Accepted : 2023.03.28
  • Published : 2023.05.01
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Abstract

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References

  1. Mohamed Shah MTB, Yeong LC, Cheng LT, Ang J, Lishan Y, Tan K, et al. Future online radiology education: the importance of curriculum. Korean J Radiol 2023;24:173-176
  2. Iancu I, Iancu B. Interacting with chatbots later in life: a technology acceptance perspective in COVID-19 pandemic situation. Front Psychol 2023;13:1111003
  3. Holotescu C. MOOCBuddy: a chatbot for personalized learning with MOOCs. In: Iftene A, Vanderdonckt J, editors. Proceedings of the 13th International Conference on Human-Computer Interaction RoCHI'2016; 2016 September 8-9; Iasi, Romania. Bucuresti: Matrix Rom; 2016. p. 91-94.
  4. Kaklij VA, Shah KV, Mandawkar U. Microlearning based content-curation using artificial intelligence for learning experience platform: a survey. Int J Res Anal Rev 2019;6:580-584
  5. Jiang F, Jiang Y, Zhi H, Dong Y, Li H, Ma S, et al. Artificial intelligence in healthcare: past, present and future. Stroke Vasc Neurol 2017;2:230-243
  6. Alam F, Matava C. A new virtual world? The future of immersive environments in anesthesiology. Anesth Analg 2022;135:230-238
  7. Leadbeater W, Pallett R, Dunn E, Bashir A. A virtual approach to promote Inter-Professional Learning (IPL) between biomedical science and medicine in higher education for the benefit of patient care. Front Public Health 2021;9:747751
  8. Yu H, Miao C, Leung C, White TJ. Towards AI-powered personalization in MOOC learning. NPJ Sci Learn 2017;2:15