Artificial intelligence-large language models (AI-LLMs) for reliable and accurate cardiotocography (CTG) interpretation in obstetric practice.

Journal: Computational and structural biotechnology journal
Published Date: Mar 18, 2025

Abstract

BACKGROUND: Accurate cardiotocography (CTG) interpretation is vital for the monitoring of fetal well-being during pregnancy and labor. Advanced artificial intelligence (AI) tools such as AI-large language models (AI-LLMs) may enhance the accuracy of CTG interpretation, but their potential has not been extensively evaluated.

Authors

  • Khanisyah Erza Gumilar
    Graduate Institute of Biomedical Science, China Medical University, Taichung, Taiwan.
  • Manggala Pasca Wardhana
    Department of Obstetrics and Gynecology, Dr. Soetomo General Hospital - Faculty of Medicine, Universitas Airlangga, Surabaya, Indonesia.
  • Muhammad Ilham Aldika Akbar
    Department of Obstetrics and Gynecology, Universitas Airlangga Hospital - Faculty of Medicine, Universitas Airlangga, Surabaya, Indonesia.
  • Agung Sunarko Putra
    Department of Obstetrics and Gynecology, Dr. Ramelan Naval Hospital, Surabaya, Indonesia.
  • Dharma Putra Perjuangan Banjarnahor
    Department of Obstetrics and Gynecology, Dr. Mohamad Soewandhie Hospital, Surabaya, Indonesia.
  • Ryan Saktika Mulyana
    Department of Obstetrics and Gynecology, Department of Obstetrics and Gynecology, Udayana University Hospital, Denpasar, Indonesia.
  • Ita Fatati
    Department of Obstetrics and Gynecology, Bandung Kiwari General Hospital, Bandung, Indonesia.
  • Zih-Ying Yu
    Department of Public Health, China Medical University, Taichung, Taiwan.
  • Yu-Cheng Hsu
    Department of Public Health, China Medical University, Taichung, Taiwan.
  • Erry Gumilar Dachlan
    Department of Obstetrics and Gynecology, Universitas Airlangga Hospital - Faculty of Medicine, Universitas Airlangga, Surabaya, Indonesia.
  • Chien-Hsing Lu
    Department of Obstetrics and Gynecology, Taichung Veteran General Hospital, Taichung, Taiwan.
  • Li-Na Liao
    Department of Public Health, China Medical University, Taichung, Taiwan.
  • Ming Tan
    Graduate Institute of Biomedical Science, China Medical University, Taichung, Taiwan.

Keywords

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