Disc Diffusion Reader: an AI-powered potential solution to combat antibiotic resistance in developing countries
The AI-powered "Disc Diffusion Reader" demonstrated high accuracy and efficiency, by reducing interpretation variability in the AST workflows. Its scalability and adaptability, particularly in low-resource settings, make it a valuable tool for combating AMR. Continuous retraining and validation will ensure sustained reliability, and highlight the potential of AI-driven solutions in modern microbiology.
Authors
- Thi Thuy Ung
- Hoang Nguyen (ORCID: https://orcid.org/0000-0001-6599-2790)
- Thi-Thu-Hien Phan (ORCID: https://orcid.org/0000-0001-8113-0437)
- Thi KL Nguyen (ORCID: https://orcid.org/0009-0006-6993-8920)
Institutions
- Hue University (VN)
Publication Details
- Journal
- The Journal of Infection in Developing Countries
- Published
- 2025-05-31
- DOI
- https://doi.org/10.3855/jidc.21108
- Citations
- 2
- Primary Topic
- Bacterial Identification and Susceptibility Testing
- Type
- article
- Field-Weighted Citation Impact
- 2.64