The Future of Neural Networks in Real-Time Healthcare Monitoring

Abstract

Real-time healthcare monitoring has become a crucial component of modern healthcare systems, providing continuous data collection and analysis to improve patient outcomes. Neural networks, particularly deep learning models, have shown great potential in enhancing real-time monitoring by analyzing vast amounts of patient data, detecting anomalies, and enabling early interventions. This article explores the role of neural networks in real-time healthcare monitoring, focusing on their applications in personalized health tracking, disease prediction, and decision support systems. It also discusses the challenges and future directions for integrating neural networks into real-time healthcare systems.