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Bibliographic Details
Main Author: Meenakshi Rani
Format: Recurso digital
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Published: Zenodo 2025
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Online Access:https://doi.org/10.5281/zenodo.14810967
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  • <p><span>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</span></p>