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August 19, 2025Current Medicinal Chemistry

Medical Artificial Intelligence: Opportunities and Challenges In Infectious Disease Management

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Authors

ASAnkit SahooJSJagdish SinghKAKainat Alam

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Overview

Review reveals AI's potential to enhance infection prevention and control, and improve epidemic prediction.

Key Points

  • AI enhances diagnostic accuracy, allowing for better management of infections and improving healthcare outcomes.
  • Machine learning facilitates the training of predictive models using large-scale data, improving epidemic prediction capabilities.
  • Advancements in AI applications can aid in compliance with infection prevention measures, boosting overall public health efforts.
  • Multidisciplinary collaboration is essential for addressing the challenges posed by infectious diseases effectively.

Cite This Study

Sahoo et al. (2025) studied this question.

synapsesocial.com/papers/68af541fad7bf08b1eadba3fhttps://doi.org/10.2174/0109298673390868250728103906
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Advancing anti-infective drug discovery: The pivotal role of artificial intelligence in overcoming infectious diseases and antimicrobial resistance2025
  2. 2Role of Artificial Intelligence in Infectious Diseases and Antimicrobial Resistance: A Comprehensive Review on Diagnostic, Treatment, and Prevention Aspects2026 · 1 citations
  3. 3Exploring the Potential of Artificial Intelligence in Infectious Disease2024
  4. 4ARTIFICIAL INTELLIGENCE IN CLINICAL APPLICATIONS FOR INFECTIOUS DISEASES: DIAGNOSIS, TREATMENT AND IMMUNIZATION2024 · 3 citations
  5. 5Practical applications of artificial intelligence in infectious disease surveillance and control: opportunities, challenges, and ethical considerations2026