TELEMEDICINE SYSTEM
Abstract
Abstract
The integration of Artificial Intelligence (AI) with telemedicine has revolutionized modern healthcare by enabling remote diagnosis, monitoring, and consultation. This project proposes an AI-based telemedicine system designed to provide intelligent, accessible, and real-time healthcare services to patients regardless of geographical limitations. The system utilizes machine learning and deep learning algorithms to analyze patient data, such as symptoms, medical history, and diagnostic images, to assist doctors in clinical decision-making. Natural language processing (NLP) modules enable automated patient–doctor interactions, while predictive analytics help identify potential health risks and recommend personalized treatment plans. The platform also incorporates secure data transmission and cloud storage to ensure patient privacy and system scalability. Experimental results indicate that the AI-powered telemedicine system enhances diagnostic accuracy, reduces consultation time, and improves healthcare accessibility especially in rural and underserved areas. This framework demonstrates the potential of AI to bridge the gap between patients and healthcare providers, paving the way for intelligent and efficient digital healthcare solutions.
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