This paper is in the following e-collection/theme issue:

Artificial Intelligence (2252) Decision Support for Health Professionals (1593) Clinical Information and Decision Making (2007) Precision Medicine (174) Respiratory Medicine (163) Nosocomial Infections (30) Wet Lab Protocols and Methods (6) Machine Learning (2173) Antimicrobial Stewardship and Antibiotic Resistance (62)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58039, first published .
Pioneering Klebsiella Pneumoniae Antibiotic Resistance Prediction With Artificial Intelligence-Clinical Decision Support System–Enhanced Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry: Retrospective Study

Pioneering Klebsiella Pneumoniae Antibiotic Resistance Prediction With Artificial Intelligence-Clinical Decision Support System–Enhanced Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry: Retrospective Study

Pioneering Klebsiella Pneumoniae Antibiotic Resistance Prediction With Artificial Intelligence-Clinical Decision Support System–Enhanced Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry: Retrospective Study

Authors of this article:

Ming-Jr Jian1 Author Orcid Image ;   Tai-Han Lin1 Author Orcid Image ;   Hsing-Yi Chung1, 2 Author Orcid Image ;   Chih-Kai Chang1 Author Orcid Image ;   Cherng-Lih Perng1 Author Orcid Image ;   Feng-Yee Chang3 Author Orcid Image ;   Hung-Sheng Shang1 Author Orcid Image
Article Authors Cited by (9) Tweetations Metrics

Journals

  1. Lin H, Chung H, Lin T, Chang C, Perng C, Hung K, Yanagihara K, Shang H, Jian M. BioInnovate AI: A Machine Learning Platform for Rapid PCR Assay Design in Emerging Infectious Disease Diagnostics. Diagnostics 2025;15(12):1445 View
  2. Lin T, Jian M, Mitsumoto-Kaseida F, Kaku N, Chung H, Chang C, Perng C, Wang Y, Wang C, Chen Y, Yanagihara K, Shang H. Development and validation of a hierarchical machine learning method using MALDI-TOF mass spectrometry for rapid SCCmec typing and PVL detection in MRSA: a multi-centre study. Emerging Microbes & Infections 2025;14(1) View
  3. Xu X, Gao Y. Machine learning powered profiling: Rapid identification of Klebsiella Pneumoniae drug resistance from MALDI-TOF MS. Journal of Microbiological Methods 2025;238:107291 View
  4. Lin T, Chung H, Jian M, Chang C, Perng C, Chang F, Chen Y, Shang H. Implementing an AI-enhanced clinical decision support system for Stenotrophomonas maltophilia: a survey-based randomized controlled trial of antibiotic precision and impact on survival. Implementation Science 2025;20(1) View
  5. Lin T, Chung H, Jian M, Chang C, Lai Y, Perng C, Chang F, Chen Y, Shang H. Nationwide longitudinal evaluation of a machine learning approach for enhanced interpretation of Xpert MTB/RIF ultra rifampicin-resistance results in low bacterial load tuberculosis specimens. Journal of Infection and Public Health 2026;19(2):103064 View
  6. Xu J, Bai L, Yang M, Yi Z, Wang T, Han H, Dong P. Advances in the application of artificial intelligence in mass spectrometry-based analysis of traditional Chinese medicine: compound identification and metabolic pathway elucidation. Analytical and Bioanalytical Chemistry 2025 View
  7. Dai D, Huang C, Li J, Wei X, Li S, Wu Q, Zhang H. ReShuffle-MS: Region-Guided Data Augmentation Improves Artificial Intelligence-Based Resistance Prediction in Escherichia coli from MALDI-TOF Mass Spectrometry. Microorganisms 2026;14(1):177 View
  8. Hassan M, Alias N, Abdul Hamid Z, Riaz S, Ab Rahman N. Role of Artificial Intelligence and Real-Time Clinical Decision Support System in Enhancing Antimicrobial Stewardship for Pneumonia Management: A Scoping Review. Journal of Pharmacy 2026;6(1):35 View
  9. Wang H, Yang C, Zhao M, Ren F, Wang X, Yan H, Qin W, Tian F, Li L, Arcari G, Ahmad A. Comparison and validation of multiple machine learning algorithms for predicting MDRO infection in catheter-related bloodstream patients: a multicenter cohort study. Microbiology Spectrum 2026 View