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Research Paper | Information Technology | India | Volume 13 Issue 12, December 2024 | Popularity: 5.1 / 10
Integrating IoT and AI for Real-Time Patient Monitoring
Saurabh Gupta
Abstract: The combination of IoT plus Artificial Intelligence AI is altering the way of monitoring patients in the healthcare industry with advanced and appropriate care facilities. The role of wearable devices cannot be avoided in this manner as these devices are used to collect patient information like heartbeat, glucose levels as well as other important health - related symptoms. With this practice, it is possible to get early signs of unusual health conditions to provide improved suggestions and health plans. This also helps in reducing the burden of unnecessary visits of patients to hospitals. With the help of IoT devices, AI uses its machine learning plus predictive analytics to evaluate large volumes of patient data. Algorithms based on AI can easily detect different patterns and highlight probable health risks like heart attacks or complex issues of diabetic patients. This facilitates the medical staff to play their role in early preventions. In addition, these approaches may also be organized for individuals by considering their data to suggest and plan health treatments accordingly. The combination of both IoT Plus AI presents impressive growth in the medical field as it offers numerous benefits in distinct manners including the outcomes of patients as well as the overall performance of medical systems. Therefore, the standing of using these technologies cannot be overlooked significantly in the revolution of the modern Healthcare industry.
Keywords: Artificial intelligence, Internet of Things, Patient Monitoring
Edition: Volume 13 Issue 12, December 2024
Pages: 266 - 270
DOI: https://www.doi.org/10.21275/SR241130160155
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