Personalized Healthcare Using AI and IoT
摘要
The rapid expansion of the Internet of Things and the expansion of Artificial intelligence have affected numerous sectors of the economy, including the health sector. Traditional health models are typically founded on generalized therapy protocols that are not customized to meet the individual needs of each patient. Customized health, which adapts medical care to the individual profile of each patient, is the new answer to the issue. But data-driven, real-time personalization is only possible through the harmonious combination of AI and IoT technologies. This study discusses the potential of AI and IoT to enable personalized health through real-time health monitoring, predictive analysis, and decision-making. AI models scan vast amounts of patient data to yield insights, detect risk of disease, and propose personalized therapy, while IoT-based intelligent devices enable the monitoring and remote observation of health in real-time. Combined, the technologies enable early detection, chronic disease management, and the delivery of health care. We propose an AI-IoT framework that integrates wearable sensors, cloud computing, and deep learning algorithms to offer proactive and personalized healthcare services. It involves IoT device-based data acquisition, preprocessing with AI models, and secure cloud-based analytics for actionable intelligence. According to our research, the combination of IoT and AI improves outcomes for the patient considerably, reduces hospital admissions, and makes healthcare more accessible. It points towards the potential for AI and IoT to transform the area of personalized healthcare and to the most profound challenges that stand in the way of it being achieved, such as privacy, interoperability, and ethics. It is also a part of the ongoing research into intelligent healthcare systems and paves the way for future advances in precision medicine with AI. The proposed AI-IoT framework demonstrated significant potential to improve early disease detection, reduce hospital readmissions, and deliver personalized treatments with greater accuracy.