Can AI Improve Substance Abuse Surveillance? The Evidence So Far
This article examines four AI-based surveillance modalities for tracking substance abuse at the population level—EMS narrative NLP classifiers, wastewater analysis, PDMP-integrated machine learning scores, and social media language models—and evaluates the evidence quality, limitations, and privacy concerns for each approach.
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- Can AI Improve Substance Abuse Surveillance? The Evidence So Far
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