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Integración de la Inteligencia Artificial en la Medicina Preventiva Personalizada: Abordando el Aislamiento Social y
Hakan Gocer1, Ahmet Baris Durukan2,3, Taylan Gun4,5
1Department of Cardiology, Private Kutahya Park Hospital, Kütahya Park Hayat Hospital, Balikesir, Turkey.
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.
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