The Future of Telemedicine: IoT and Machine Learning for Enhanced Patient-Doctor Interactions
Abstract
Telemedicine has emerged as a crucial component of modern healthcare, particularly in remote and underserved areas. This paper explores the future of telemedicine by integrating IoT and machine learning to enhance patient-doctor interactions. We present a telemedicine platform that uses IoT devices to monitor patients' health metrics in real-time and machine learning algorithms to analyze the data for remote diagnosis and treatment recommendations. The platform's effectiveness is evaluated through a series of clinical trials, showing improved patient outcomes and satisfaction. The paper also discusses the technical and regulatory challenges of implementing such a system on a large scale.
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