Work

The Role of AI in Microbiological Diagnostics: Innovations and Future Prospects

Year: 2025

Type: article

Abstract: 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

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.14810966

Author: Meenakshi Rani

Language: English

Topic: Bacterial Identification and Susceptibility Testing

Subfield: Clinical Biochemistry

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: green

OpenAlex ID: W6967860489

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