AI-Assisted Personalized Monitoring for Chronic Diseases

About this talk
Monitoring chronic diseases is essential for effective prevention and timely intervention. Traditional approaches often follow uniform guidelines, which can lead to over-monitoring of low-risk individuals and inadequate monitoring of high-risk patients. This talk explores AI-assisted personalized monitoring, leveraging patient-specific risk profiles to optimize monitoring frequency. By tailoring strategies to individuals, AI can improve early detection, reduce unnecessary burdens, and enhance healthcare efficiency.

What you’ll learn

• How patient-specific risk profiles inform adaptive monitoring intervals
• Practical benefits and tradeoffs of personalized vs. guideline-only approaches
• Real-world signals, data quality, and bias considerations in clinical AI
• Pathways to implement AI monitoring in care delivery & population health

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