What does this research mean for the field?

Artificial intelligence can transform public health into a proactive model for infectious disease detection and clinical triage, provided that implementation challenges such as algorithmic bias and privacy risks are managed through rigorous validation and human oversight. Novelty: ClaimNovelty.SYNTHESIS. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

Assess the role of artificial intelligence in advancing proactive public health strategies through clinical triage optimization and early infectious disease outbreak detection.

September 14, 2026Open Access

Artificial Intelligence in Public Health: Optimizing Clinical Triage and Preventing Infectious Disease Outbreaks

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Assess the role of artificial intelligence in advancing proactive public health strategies through clinical triage optimization and early infectious disease outbreak detection.
Synthesized applications of machine learning and natural language processing across hospital electronic health records and real-time clinical notes.
Evaluated population-level surveillance models integrating epidemiological trends, environmental indices, human mobility indicators, and physiological data from consumer wearables.
AI-driven surveillance and triage models identify emerging outbreaks and prioritize infectious patients earlier than conventional, reactive monitoring systems.
Practical deployment remains limited by algorithmic bias, fragmented records, uninterpretable model outputs, and systemic inequalities in digital access, necessitating continuous human-in-the-loop validation.

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Implication

Review reveals the utility of artificial intelligence for outbreak surveillance in public health, indicating that clinical implementation requires transparent governance and continuous human...

Cite This Study

Max Van Massey (2026) studied this question.

synapsesocial.com/papers/6aa7b3ee0926e14a848b3535 https://doi.org/10.5281/zenodo.22729638

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Implication

Review reveals the utility of artificial intelligence for outbreak surveillance in public health, indicating that clinical implementation requires transparent governance and continuous human...

Artificial Intelligence in Public Health: Optimizing Clinical Triage and Preventing Infectious Disease Outbreaks

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Discussion

Implication

Cite This Study

Artificial Intelligence in Public Health: Optimizing Clinical Triage and Preventing Infectious Disease Outbreaks

Key Points

Discussion

Implication

Cite This Study

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