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September 10, 2025Journal of Pure and Applied MicrobiologyOpen Access

Transforming Medical Microbiology: The Role of Artificial Intelligence

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Authors

SSSuvarna SandeMRManisha Rajguru

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Overview

Machine learning enhances pathogen detection and antimicrobial resistance prediction in clinical microbiology, suggesting critical improvements in diagnostics.

Key Points

  • AI revolutionizes diagnostics by enhancing the speed and accuracy of pathogen detection, improving clinical outcomes.
  • Machine learning models accurately predict antimicrobial susceptibility patterns, allowing for early detection of resistant organisms.
  • Natural language processing optimizes data extraction from electronic health records, improving workflows and diagnostic accuracy.
  • Challenges like data standardization and ethical considerations must be addressed to fully leverage AI in medical microbiology.

Cite This Study

Sande et al. (2025) studied this question.

synapsesocial.com/papers/68c2443bb210217d647a9ff1https://doi.org/10.22207/jpam.19.3.36
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