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CORRECTION article

Front. Endocrinol., 02 September 2024

Sec. Thyroid Endocrinology

Volume 15 - 2024 | https://doi.org/10.3389/fendo.2024.1466012

Corrigendum: Improving the diagnostic performance of inexperienced readers for thyroid nodules through digital self-learning and artificial intelligence assistance

  • 1. Department of Radiology, Yongin Severance Hospital, College of Medicine, Yonsei University, Yongin-si, Republic of Korea

  • 2. Department of Radiology, Kyungpook National University Chilgok Hospital, Daegu, Republic of Korea

  • 3. Department of Radiology, CHA University Bundang Medical Center, Seongnam-si, Republic of Korea

  • 4. Department of Surgery, Kyungpook National University Chilgok Hospital, Daegu, Republic of Korea

  • 5. Department of Endocrinology, Kyungpook National University Chilgok Hospital, Daegu, Republic of Korea

  • 6. Department of Radiology, Keimyung University Dongsan Hospital, Daegu, Republic of Korea

  • 7. Department of Computational Science and Engineering, Yonsei University, Seoul, Republic of Korea

  • 8. Department of Endocrinology, College of Medicine, Yonsei University, Seoul, Republic of Korea

  • 9. Department of Radiology, College of Medicine, Yonsei University, Seoul, Republic of Korea

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In the published article, an author name was incorrectly written as Jing Hyang Jung. The correct spelling is Jin Hyang Jung.

The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.

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Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Summary

Keywords

thyroid cancer, artificial intelligence, ultrasound, learning, digital learning

Citation

Lee SE, Kim HJ, Jung HK, Jung JH, Jeon J-H, Lee JH, Hong H, Lee EJ, Kim D and Kwak JY (2024) Corrigendum: Improving the diagnostic performance of inexperienced readers for thyroid nodules through digital self-learning and artificial intelligence assistance. Front. Endocrinol. 15:1466012. doi: 10.3389/fendo.2024.1466012

Received

17 July 2024

Accepted

21 August 2024

Published

02 September 2024

Approved by

Frontiers Editorial Office, Frontiers Media SA, Switzerland

Volume

15 - 2024

Updates

Copyright

*Correspondence: Hye Jung Kim, ; Jin Young Kwak,

Disclaimer

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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