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Research & Innovation
Artificial Intelligence in Medicine
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Artificial Intelligent Raman Detection and Identification System
Artificial Intelligent Raman Detection and Identification System(AIRDIS) is the world's first to apply Raman technology in clinical microbiological testing for microbial identification and resistance prediction (completed by one machine). At the same time, it continuously collects Raman characteristic spectra through AI deep learning technology to enhance the accuracy of microbial identification and resistance prediction. This innovative solution reduces the workload of testing and can alert physicians to resistant strains 24-48 hours in advance, allowing for timely and accurate medication for patients, who also receive proper treatment or appropriate isolation. In addition, this system has a competitive cost advantage, facilitating its implementation across various medical institutions and has the potential to change the entire microbial testing ecosystem in Taiwan, significantly improving reporting efficiency.
▲ A machine that completes strain identification and antibiotic resistance prediction can provide warnings for resistant strains 24-48 hours in advance, allowing doctors to use the correct medication or implement appropriate isolation.
Journal Article
- 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 learning.
https://doi.org/10.1016/j.jmii.2024.11.014
Awards
2024
- National Healthcare Quality Award (NHQA): Bronze Award
- Symbol of National Quality (SNQ)
- National Innovation Award
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Patents
Invention Patent
- Device for Controlling Raman Spectrometer (No.I797787)
- Method and system for finding sampling points in specimens using Raman spectrometer.(No.I789957)
Design Patent
- Spectral Analysis Testing Machine (Instrument Appearance) (No.D232693 , D232694)
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Center of Laboratory Medicine
Phone: +886-4-22052121 ext 18016
E-mail: 005677@tool.caaumed.org.tw
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