We read with interest the article by Atalay and colleagues “The impact of emerging
technologies on residency selection by medical students in 2017 and 2021, with a focus
on Diagnostic Radiology” published in Academic Radiology (
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References
- The impact of emerging technologies on residency selection by medical students in 2017 and 2021, with a focus on diagnostic radiology.Acad Radiol. 2022;
- Medical student perspectives on the impact of artificial intelligence on the practice of medicine.Curr Probl Diagn Radiol. 2021; 50: 614-619
- A history of the shift toward full computerization of medicine.J Oncol Pract. 2005; 1: 54-56
- Perceptions of US medical students on artificial intelligence in medicine: mixed methods survey study.JMIR Med Educ. 2022; 8: e38325
- Current practical experience with artificial intelligence in clinical radiology: a survey of the European Society of Radiology.Insights Imaging. 2022; 13: 107
- Artificial intelligence in radiology: 100 commercially available products and their scientific evidence.Eur Radiol. 2021; 31: 3797-3804
- Assessing radiology research on artificial intelligence: a brief guide for authors, reviewers, and readers-from the radiology editorial board.Radiology. 2020; 294: 487-489
- Mitigating Bias in radiology machine learning: 1. Data Handling.Radiol Artif Intell. 2022; 4e210290
Article info
Publication history
Published online: December 01, 2022
Accepted:
November 14,
2022
Received:
November 14,
2022
Publication stage
In Press Corrected ProofIdentification
Copyright
© 2022 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.