Pitfalls in Interpretive Applications of Artificial Intelligence in Radiology-Reference-Cited by-同舟云学术

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Pitfalls in Interpretive Applications of Artificial Intelligence in Radiology

Published:2024-07-24 Issue: Volume: Page:
ISSN:0361-803X
Container-title:American Journal of Roentgenology
language:en
Short-container-title:American Journal of Roentgenology

Author:

Behzad Shima¹,Tabatabaei Seyed Mohammad Hossein²,Lu Max Yang³,Eibschutz Liesl S.⁴,Gholamrezanezhad Ali⁴⁵

Affiliation:

1. Independent researcher

2. Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA

3. University of Virginia Hospital, Charlottesville, VA

4. Department of Radiology, Keck School of Medicine, University of Southern California, Los Angeles CA

5. Department of Radiology, Los Angeles General Hospital, Los Angeles, CA

Publisher

American Roentgen Ray Society

Reference76 articles.

1. Artificial Intelligence and Machine Learning in Radiology: Opportunities, Challenges, Pitfalls, and Criteria for Success

2. doi:10.1016/j.jacr.2017.12.026

3. 2019;16(9 Pt B):1309-1317. doi:10.1016/j.jacr.2019.05.036

4. 2023;36(1):164-177. doi:10.1007/s10278-022-00714-8

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