Artificial Intelligence in Risk Assessment and Prevention.

Abstract

Artificial Intelligence (AI) and Machine Learning (ML) are revolutionizing primary care by enhancing diagnostic accuracy, risk prediction, and treatment planning. Integrating clinical data, wearable device data, and Social Determinants of Health with AI/ML allows primary care physicians to uncover hidden patterns, improve outcomes, and address environmental health challenges. The synergy of AI, interdisciplinary learning, and Geographic Information Systems enables personalized interventions and optimized decision making. Clinicians must integrate AI/ML carefully into workflows, overcoming challenges like data interoperability and ensuring transparency. Collaboration is key to creating effective, ethical AI tools that improve health care equity and efficiency.