# Integrating Artificial Intelligence into Personalized Preventive Medicine: Addressing Social Isolation and Elderly Care

## TL;DR

This paper reviews how AI can improve personalized preventive healthcare by monitoring health, managing stress, and addressing social isolation in elderly care.

## Contribution

The paper introduces an AI-driven healthcare ecosystem that integrates personal health data for tailored guidance and proactive interventions.

## Key findings

- AI enables real-time health monitoring and proactive interventions.
- Machine learning improves decision-making and personalized health recommendations.
- AI-driven preventive healthcare is cost-effective and improves outcomes.

## Abstract

Advancements in artificial intelligence and sensor-based systems are transforming personalized preventive medicine. This “suggestion review” explores an artificial intelligence (AI)-driven healthcare ecosystem that integrates and analyzes personal health data to ensure transparency and tailored guidance for optimal well-being. AI enables real-time health monitoring, proactive interventions, and emergency response systems, addressing current healthcare limitations. By employing advanced machine learning techniques, AI improves decision-making, stress management, and personalized health recommendations. Additionally, this review explores the economic benefits of AI-driven preventive healthcare, emphasizing cost-effectiveness and improved outcomes. Ethical considerations, data security, and user autonomy are also discussed to ensure the responsible deployment of AI in healthcare.