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October 2, 2025Open Access

AI-Driven Strategies to Forecast and Combat Antibiotic Resistance

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Authors

AVA VinuthaSGShivashankar GovindhanLML Mohankumar

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Overview

This review explores AI tools improving diagnostic testing and regulating antimicrobial resistance in healthcare.

Key Points

  • AI-driven models improve the prediction and prevention of antimicrobial resistance, enhancing public health efforts.
  • The application of AI techniques provides critical support in antibiotic selection and maximizes stewardship programs.
  • Integration of AI focuses on addressing barriers like data quality and regulatory adoption to enhance AMR management.
  • Multidisciplinary collaboration is vital to realize the full potential of AI solutions in clinical environments.

Cite This Study

Vinutha et al. (2025) studied this question.

synapsesocial.com/papers/68de84c45b556a9128e1c081https://doi.org/10.63363/aijfr.2025.v06i05.1424
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