Validation of artificial intelligence-based digital microscopy for automated detection of Schistosoma haematobium eggs in urine in Gabon.

Journal: PLoS neglected tropical diseases
PMID: 38394298

Abstract

INTRODUCTION: Schistosomiasis is a significant public health concern, especially in Sub-Saharan Africa. Conventional microscopy is the standard diagnostic method in resource-limited settings, but with limitations, such as the need for expert microscopists. An automated digital microscope with artificial intelligence (Schistoscope), offers a potential solution. This field study aimed to validate the diagnostic performance of the Schistoscope for detecting and quantifying Schistosoma haematobium eggs in urine compared to conventional microscopy and to a composite reference standard (CRS) consisting of real-time PCR and the up-converting particle (UCP) lateral flow (LF) test for the detection of schistosome circulating anodic antigen (CAA).

Authors

  • Brice Meulah
    Leiden University Center for Infectious Diseases (LUCID), Leiden University Medical Center, Leiden, The Netherlands.
  • Prosper Oyibo
    Mechanical, Maritime and Material Engineering, Delft University of Technology, Delft, The Netherlands.
  • Pytsje T Hoekstra
    Leiden University Center for Infectious Diseases (LUCID), Leiden University Medical Center, Leiden, The Netherlands.
  • Paul Alvyn Nguema Moure
    Centre de Recherches Médicales des Lambaréné, CERMEL, Lambaréné, Gabon.
  • Moustapha Nzamba Maloum
    Centre de Recherches Médicales des Lambaréné, CERMEL, Lambaréné, Gabon.
  • Romeo Aime Laclong-Lontchi
    Centre de Recherches Médicales des Lambaréné, CERMEL, Lambaréné, Gabon.
  • Yabo Josiane Honkpehedji
    Leiden University Center for Infectious Diseases (LUCID), Leiden University Medical Center, Leiden, The Netherlands.
  • Michel Bengtson
    Leiden University Center for Infectious Diseases (LUCID), Leiden University Medical Center, Leiden, The Netherlands.
  • Cornelis Hokke
    Leiden University Center for Infectious Diseases (LUCID), Leiden University Medical Center, Leiden, The Netherlands.
  • Paul L A M Corstjens
    Department of Cell and Chemical Biology, Leiden University Medical Center, Leiden, The Netherlands.
  • Temitope Agbana
    Mechanical, Maritime and Material Engineering, Delft University of Technology, Delft, The Netherlands.
  • Jan Carel Diehl
    Industrial Design Engineering, Delft University of Technology, Delft, The Netherlands.
  • Ayola Akim Adegnika
    Leiden University Center for Infectious Diseases (LUCID), Leiden University Medical Center, Leiden, The Netherlands.
  • Lisette van Lieshout
    Leiden University Center for Infectious Diseases (LUCID), Leiden University Medical Center, Leiden, The Netherlands.

Keywords

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