| Popis: |
Objectives: Artificial intelligence can learn without explicit instructions and has multiple applications in radiology. Whereas many publications have focused on teaching radiologists about artificial intelligence, our goal in this study is to focus on how artificial intelligence can teach radiology trainees better. Key Findings: Although the idea of using artificial intelligence to improve education is not new, the application of artificial intelligence to radiology education remains limited. Based on the limited research that has been published on its current status we highlight some of the developments that have occurred in this field. Conclusion: Artificial Intelligence can be used to enhance radiology education. Implication for practice: Radiologists and radiographers should know the latest trends in Artificial Intelligence to utilize in departmental education. |
