TL;DR
An intelligent healthcare framework that leverages the Internet of Things (IoT) to improve survival predictions for patients experiencing heart disease is proposed—an intelligent IoT-based framework to give patients experiencing heart disease prompt, efficient, and high-quality medical care.
The review demonstrates that AI-integrated IoMT systems can importantly improve remote patient monitoring, predictive healthcare analytics, and personalized medical services.
Remote Patient Monitoring (RPM) involves using technology outside traditional healthcare facilities, such as in patients’ homes. This technology allows healthcare providers to gather patient data remotely and track their health immediately. These systems are important for improving patient outcomes, increasing access t...
Diabetes is a chronic condition demanding continuous management to prevent serious long-term problems. The conventional healthcare approaches depend on irregular clinical visits. It mostly fails to give the constant oversight required for better glycemic control. The Internet of Things (IoT) provides a promising soluti...
A novel machine learning Internet of Things framework designed for the early prediction of health risks utilizing wearable sensor data, which has the potential to transform preventive healthcare by enabling timely interventions, thereby mitigating severe health conditions before they develop.
Cardiac arrhythmia is a major global health concern, and conventional electrode-based Electrocardiogram (ECG) monitoring cannot continuously track drivers, limiting early detection of heart-related risks that could cause road accidents. This study presents a Cardiac Health Assistance System (CHAS) combining Internet of...
The Internet of Things (IoT) has greatly revolutionized the electronic healthcare sector by allowing the centralization of patient care, enabling more efficient connections, and providing real-time monitoring. The Internet of Medical Things (IoMT) is a network of wirelessly connected sensors and devices that may be a...
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