Trend AI-based population health risk prediction and intervention platforms

Summary

AI-based population health risk prediction and intervention platforms standardise and integrate multimodal data drawn from medical care, daily life, the environment and public administration. They use AI to forecast health risks for population groups by region and social stratum and support interventions and policy decisions for vulnerable areas and high-risk groups. The scope includes standards-based multimodal data integration, AI risk stratification, and recommending interventions by risk level while measuring their effects. For 2030 to 2035 KISTEP expects people to receive standardised, high-quality AI prevention services regardless of income or place of residence, easing health inequality. AI and data are expected to offset care worker shortages caused by ageing, and real-time analysis of national multimodal health data could stop infectious disease and collective health anomalies early.