How can artificial intelligence help improve early detection and intervention for chronic diseases by analyzing subtle changes in patient data over time?

Artificial intelligence can help improve early detection and intervention for chronic diseases by analyzing subtle changes in patient data over time through predictive modeling and pattern recognition. By continuously monitoring and analyzing patient data, AI can identify deviations from normal patterns and alert healthcare providers to potential health risks before symptoms manifest. This proactive approach allows for timely interventions and personalized treatment plans, ultimately improving patient outcomes and reducing healthcare costs associated with managing chronic diseases.