Accelerating antimicrobial stewardship: An AI-CDSS approach to combating multidrug-resistant pathogens in the era of increasing resistance
Integrating MALDI-TOF MS with machine learning in AI-CDSS significantly enhanced clinical decision-making, representing a major advancement in the rapid management of infectious diseases and antimicrobial stewardship.
Authors
- Hung‐Sheng Shang (ORCID: https://orcid.org/0000-0002-4831-1866)
- Ming-Jr Jian
- Chih‐Kai Chang (ORCID: https://orcid.org/0000-0003-3695-4474)
- Cherng‐Lih Perng (ORCID: https://orcid.org/0000-0001-7182-1031)
- Hsing‐Yi Chung (ORCID: https://orcid.org/0000-0002-7870-8354)
- Chien‐Wen Chen (ORCID: https://orcid.org/0000-0002-6891-3557)
- Tai-Han Lin
- Feng‐Yee Chang
Institutions
- Tri-Service General Hospital (TW)
- National Defense Medical Center (TW)
Publication Details
- Journal
- Clinica Chimica Acta
- Published
- 2025-04-29
- DOI
- https://doi.org/10.1016/j.cca.2025.120336
- Citations
- 5
- Primary Topic
- Bacterial Identification and Susceptibility Testing
- Type
- article
- Field-Weighted Citation Impact
- 6.59
Funders
- Tri-Service General Hospital