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.

• medical imaging
• radiology AI
• pathology AI
• cardiology AI
• ambient documentation
• clinical decision support
• sepsis prediction
• NLP in clinical workflows
• AI scribes
• drug discovery
• oncology AI
• primary care AI
• emergency medicine AI
• ophthalmology AI
• dermatology AI