A new diagnostic method and tool for cutaneous leishmaniasis based on artificial intelligence techniques.

Journal: Computers in biology and medicine
Published Date: May 12, 2025

Abstract

BACKGROUND: Cutaneous leishmaniasis (CL) is a parasitic disease caused by protozoan parasites of the genus Leishmania, leading to significant morbidity in endemic regions. While effective, traditional diagnostic methods often suffer from limitations such as the requirement for specialized expertise and prolonged processing times. Artificial intelligence (AI) methodologies have recently emerged to enhance CL's diagnostic accuracy and efficiency.

Authors

  • Said Gadri
    Laboratory of Informatics and its Applications of M'sila LIAM, Department of Computer Science, Faculty of Mathematics and Informatics, Univ. Mohamed Boudiaf of M'sila, Road Bordj Bou Arreridj, CP 28000, Algeria. Electronic address: said.kadri@univ-msila.dz.
  • Soufyane Bounab
    Laboratory of Informatics and its Applications of M'sila LIAM, Department of Computer Science, Faculty of Mathematics and Informatics, Univ. Mohamed Boudiaf of M'sila, Road Bordj Bou Arreridj, CP 28000, Algeria.
  • Nabil Benazi
    Algerian Pasteur Institute, Branch of M'sila, City, 700, M'sila, Algeria.
  • Farida Zerouak
    Algerian Pasteur Institute, Branch of M'sila, City, 700, M'sila, Algeria.

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