The Role of AI in Microbiological Diagnostics: Innovations and Future Prospects
The evolution of microbiological diagnostics has significantly enhanced microbial identification and antibiotic susceptibility testing. This article explores advancements in automation and artificial intelligence (AI) within microbiology, emphasizing their influence on diagnostic precision, laboratory efficiency, and clinical outcomes. Additionally, it examines emerging AI applications such as real-time pathogen detection, predictive analytics for outbreak prevention, and AI-assisted antimicrobial stewardship. AI-based approaches are revolutionizing microbiological diagnostics, reducing turnaround times, and contributing to intelligent, data-driven solutions for infectious disease management
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-02-05
- DOI
- https://doi.org/10.5281/zenodo.14810966
- Primary Topic
- Peptidase Inhibition and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00