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Correction: Accurate, automated classification of radiographic knee osteoarthritis severity using a novel method of deep learning: Plug‑in modules

Knee Surgery & Related Research volume 37, Article number: 17 (2025) Cite this article

The Original Article was published on 13 August 2024

Correction: Knee Surgery & Related Research (2024) 36:24 https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s43019-024-00228-3

Following publication of the original article [1], we have been notified that body text contained incorrectly published parts.

The original text was as follows:

Results

The accuracy was the lowest for KL grade 1 (46%) and the highest for KL grade 4 (93%).

Table 2

figure a

Table 2 Sensitivity and specificity of the proposed model for each Kellgren–Lawrence grade

This has been corrected to:

Results

The accuracy was the lowest for KL grade 1 (43%) and the highest for KL grade 4 (96%).

Table 2

Table 2 Sensitivity and specificity of the proposed model for each Kellgren–Lawrence grade
Full size table

The original article was updated.

Reference

  1. Lee DW, Song DS, Han HS, Ro DH (2024) Accurate, automated classification of radiographic knee osteoarthritis severity using a novel method of deep learning: Plug-in modules. Knee Surg Relat Res 36:24. https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s43019-024-00228-3

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Authors and Affiliations

  1. Department of Orthopedic Surgery, Seoul National University College of Medicine, Seoul, South Korea

    Do Weon Lee, Hyuk‑Soo Han & Du Hyun Ro

  2. CONNECTEVE Co., Ltd, Seoul, South Korea

    Dae Seok Song & Du Hyun Ro

  3. Department of Orthopedic Surgery, Seoul National University Hospital, 101 Daehak‑ro, Jongno‑gu, Seoul, 110‑744, South Korea

    Hyuk‑Soo Han & Du Hyun Ro

  4. Innovative Medical Technology Research Institute, Seoul National University Hospital, Seoul, South Korea

    Du Hyun Ro

  5. Department of Orthopedic Surgery, Dongguk University Ilsan Hospital, Goyang, South Korea

    Do Weon Lee

Authors
  1. Do Weon Lee
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  2. Dae Seok Song
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  3. Hyuk‑Soo Han
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  4. Du Hyun Ro
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Corresponding author

Correspondence to Du Hyun Ro.

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Lee, D.W., Song, D.S., Han, H. et al. Correction: Accurate, automated classification of radiographic knee osteoarthritis severity using a novel method of deep learning: Plug‑in modules. Knee Surg & Relat Res 37, 17 (2025). https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s43019-025-00268-3

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  • DOI: https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s43019-025-00268-3

Knee Surgery & Related Research

ISSN: 2234-2451