Accelerating antimicrobial stewardship: An AI-CDSS approach to combating multidrug-resistant pathogens in the era of increasing resistance.

Journal: Clinica chimica acta; international journal of clinical chemistry
Published Date: Apr 29, 2025

Abstract

OBJECTIVES: The World Health Organization has identified Klebsiella pneumoniae (KP) and Pseudomonas aeruginosa (PA) as significant public health threats owing to high antibiotic resistance. Traditional antibiotic susceptibility testing (AST) methods, crucial for determining the most suitable treatment regimen, typically require approximately 48-96 h (2-4 days) to yield results, including bacterial culture, rapid identification via matrix-assisted laser desorption/ionization-time of flight mass spectrometry (MALDI-TOF MS), and subsequent AST, which is too long for urgent clinical decisions. Here, we developed an artificial intelligence-clinical decision support system (AI-CDSS) utilizing machine learning to analyze MALDI-TOF MS data for antibiotic resistance prediction for these pathogens.

Authors

  • Tai-Han Lin
    Department of Pathology, Division of Clinical Pathology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, Republic of China.
  • Hsing-Yi Chung
    Department of Pathology, Division of Clinical Pathology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, Republic of China; Graduate Institute of Medical Science, National Defense Medical Center, Taipei, Taiwan, Republic of China.
  • Ming-Jr Jian
    Department of Pathology, Division of Clinical Pathology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, Republic of China.
  • Chih-Kai Chang
    Department of Pathology, Division of Clinical Pathology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, Republic of China.
  • Cherng-Lih Perng
    Department of Pathology, Division of Clinical Pathology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, Republic of China.
  • Feng-Yee Chang
    Department of Internal Medicine, Division of Infectious Diseases and Tropical Medicine, Tri-Service General Hospital, National Defense Medical Centre, Taipei, Taiwan, Republic of China.
  • Chien-Wen Chen
    Department of Internal Medicine, Division of Pulmonary and Critical Care Medicine, Tri-Service General Hospital, National Defense Medical Centre, Taipei, Taiwan, Republic of China.
  • Hung-Sheng Shang
    Department of Pathology, Division of Clinical Pathology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, Republic of China. Electronic address: iamkeith001@gmail.com.

Keywords

External Resources

Popular Topics
Recent Journals