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Open Access

Retraction

Retraction: Enhanced heart disease diagnosis and management: A multi-phase framework leveraging deep learning and personalized nutrition

  • The PLOS One Editors

The PLOS One Editors retract this article [1] due to concerns about:

  • Compliance with PLOS policy on Manipulation of the Publication Process;
  • Several references do not appear to support the statements for which they were cited, including References 3, 13-15, and others;
  • Text overlap between the Results and discussion sections of [1] and [2];
  • Figs 5-9 of [1] are highly similar to Figs 5-9 of [2].

Author Sandeep Dalal (SaDalal) informed PLOS that they were unaware of the article [1] and did not agree to be on the author list. SaDalal stated that they do not own the email address provided for them at the time of submission.

This article [1] was republished on May 27, 2026, to remove SaDalal’s email address and Corresponding Author designation. Please download the article again to view the correct version.

SuDalal, MD, and AH agreed with the retraction. RR, RSC, and SaDalal responded but expressed neither agreement nor disagreement with the editorial decision. IM either did not respond directly or could not be reached.

Figs 5-9 in [1] appear similar to content previously published in [2] under a CC BY 4.0 license. These figures are subject to the license that applies to the original article.

References

  1. 1. Ritika R, Chhillar RS, Dalal S, Dalal S, Moorthi I, Dubale M, et al. RETRACTED: Enhanced heart disease diagnosis and management: A multi-phase framework leveraging deep learning and personalized nutrition. PLoS One. 2025;20(10):e0334217. pmid:41105728
  2. 2. Alasmari S, AlGhamdi R, Tejani GG, Kumar Sharma S, Mousavirad SJ. Federated learning-based multimodal approach for early detection and personalized care in cardiac disease. Front Physiol. 2025;16:1563185.

Citation: The PLOS One Editors (2026) Retraction: Enhanced heart disease diagnosis and management: A multi-phase framework leveraging deep learning and personalized nutrition. PLoS One 21(6): e0351485. https://doi.org/10.1371/journal.pone.0351485

Published: June 12, 2026

Copyright: © 2026 The PLOS One Editors. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.