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Open Access

Correction

Correction: Assessing the feasibility of large language models to identify top research priorities in enhanced external counterpulsation

  • Shengkun Gai,
  • Fangwan Huang,
  • Xuanyun Liu,
  • Ryan G. Benton,
  • Glen M. Borchert,
  • Jingshan Huang,
  • Xiuyu Leng

There are errors in the author affiliations. The correct affiliations are as follows:

Shengkun Gai1,2, Fangwan Huang3, Xuanyun Liu3, Ryan G. Benton4, Glen M. Borchert5, Jingshan Huang6, Xiuyu Leng2,7

1 Department of Cardiology, Linfen People’s Hospital, Linfen, Shanxi, China, 2 Department of Cardiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China, 3 College of Computer and Data Science, Fuzhou University, Fuzhou, China, 4 School of Computing, University of South Alabama, Mobile, Alabama, United States of America, 5 College of Medicine, University of South Alabama, Mobile, Alabama, United States of America, 6 School of Computing and College of Medicine, University of South Alabama, Mobile, Alabama, United States of America, 7 NHC Key Laboratory of Assisted Circulation and Vascular Diseases (Sun Yat-sen University), Guangzhou, China

Reference

  1. 1. Gai S, Huang F, Liu X, Benton RG, Borchert GM, Huang J, et al. Assessing the feasibility of large language models to identify top research priorities in enhanced external counterpulsation. PLoS One. 2025;20(4):e0305442. pmid:40233054

Citation: Gai S, Huang F, Liu X, Benton RG, Borchert GM, Huang J, et al. (2025) Correction: Assessing the feasibility of large language models to identify top research priorities in enhanced external counterpulsation. PLoS One 20(11): e0336055. https://doi.org/10.1371/journal.pone.0336055

Published: November 3, 2025

Copyright: © 2025 Gai et al. 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.