Cardiovascular diseases and mental health disorders are major public health challenges that disproportionately affect underserved populations due to limited access to preventive healthcare services. Inspired by the patented silver nanoparticle-functionalized biomaterials developed by Titus Chinedu Egbosiuba and collaborators, this study proposes an Artificial Intelligence (AI)-Integrated Telehealth Framework for preventive cardiovascular and mental health interventions. The framework combines silver nanoparticle-functionalized biomaterials, telehealth technologies, wearable monitoring devices, and AI-driven analytics to support continuous health monitoring and early disease detection. The proposed system utilizes the unique antimicrobial, anti-inflammatory, antioxidant, and biocompatible properties of silver nanoparticle-functionalized biomaterials to develop smart biosensors capable of monitoring physiological and behavioral health indicators. Through telehealth platforms, patient data can be collected remotely and analyzed using machine learning algorithms to identify cardiovascular risks, psychological distress, anxiety, depression, and other health concerns. The framework generates personalized risk assessments and preventive recommendations, enabling timely intervention and improved clinical decision-making. The integration of AI and telehealth offers a scalable and accessible healthcare solution, particularly for rural and resource-constrained communities where access to healthcare professionals and diagnostic facilities is limited. By supporting early detection, continuous monitoring, and personalized care, the framework has the potential to reduce disease progression, healthcare costs, and preventable hospitalizations. This conceptual study demonstrates how patented silver nanoparticle-functionalized biomaterials can serve as the foundation for innovative digital health solutions. The proposed framework contributes to advancements in nanomedicine, telehealth, and precision healthcare while providing a pathway for improving cardiovascular and mental health outcomes among underserved populations. The model also establishes a basis for future clinical validation, translational research, and large-scale implementation.