Identification of Staphylococcus aureus, Enterococcus faecium, Klebsiella pneumoniae, Pseudomonas aeruginosa and Acinetobacter baumannii from Raman spectra by Artificial Intelligent Raman Detection and Identification System (AIRDIS) with machine lear
Validation with a large number of clinical isolates demonstrated Raman spectroscopy combined with ML excels in identification of five bacterial species associated with multidrug resistance. This finding confirms the clinical utility of the system while laying a solid foundation for the future development of antimicrobial resistance prediction models.
Authors
- Yi‐Fan Chou (ORCID: https://orcid.org/0000-0002-9932-7091)
- Wei-Cheng Chang (ORCID: https://orcid.org/0000-0002-8937-6105)
- Po‐Ren Hsueh (ORCID: https://orcid.org/0000-0002-7502-9225)
- Der‐Yang Cho (ORCID: https://orcid.org/0000-0002-6429-3565)
- Ya-Lun Wu (ORCID: https://orcid.org/0000-0001-5658-6942)
- Yu-Tzu Lin (ORCID: https://orcid.org/0000-0002-3815-6305)
- Chyong-Hsin Hsu
- Hsiu-Hsien Lin
- Shih‐Sheng Chang (ORCID: https://orcid.org/0000-0002-1664-4818)
- Kun-Hao Tseng
- Yuhui Liao (ORCID: https://orcid.org/0000-0003-4702-9516)
- Nan-Qing Liao
- Chih-Hao Chen
- Ping‐Chi Hsu (ORCID: https://orcid.org/0000-0003-2562-1463)
- Mao‐Wang Ho
Institutions
- China Medical University (TW)
- Powertech Technology (Taiwan) (TW)
- China Medical University Hospital (TW)
Publication Details
- Journal
- Journal of Microbiology Immunology and Infection
- Published
- 2024-11-29
- DOI
- https://doi.org/10.1016/j.jmii.2024.11.014
- Citations
- 7
- Primary Topic
- Spectroscopy Techniques in Biomedical and Chemical Research
- Type
- article
- Field-Weighted Citation Impact
- 4.64
Funders
- China Medical University Hospital