Development and validation of neonatal jaundice detection using smartphone application.

Journal: Computers in biology and medicine
Published Date: Aug 9, 2025

Abstract

BACKGROUND: Neonatal jaundice is highly prevalent in newborns globally, requiring vigilant monitoring to prevent severe complications such as brain damage. Current detection methods, including invasive blood tests and expensive bilirubinometers, have limitations. While smartphone-based tools show promise, their accuracy and robustness are often suboptimal.

Authors

  • Guan-Ting Shen
    Center of Innovation and Incubation, Ditmanson Medical Foundation Chia-Yi Christian Hospital, Chiayi, Taiwan.
  • Yu-Hwan Liu
    Library & Information Center, China Medical University, Taichung, Taiwan.
  • Jin-Yi Lin
    Center of Innovation and Incubation, Ditmanson Medical Foundation Chia-Yi Christian Hospital, Chiayi, Taiwan.
  • Kai-Cheng Hsu
    Bioinformatics Section, National Institute of Neurological Disorder and Stroke, National Institutes of Health, Bethesda, MD, United States; Department of Neurology, National Taiwan University Hospital, Taipei, Taiwan.
  • Hsin-Hsu Chou
    Department of Pediatrics, Ditmanson Medical Foundation Chia-Yi Christian Hospital, Chiayi, Taiwan; Department of Bioinformatics and Medical Engineering, Asia University, Taichung, Taiwan. Electronic address: 03834@cych.org.tw.

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