Sentient IoT: AI-Driven Revolution in Smart Healthcare & Emergency Response

Due to a lack of medical facilities and sluggish emergency response times, access to healthcare remains a major problem in rural and underprivileged areas. A novel and scalable approach to solving these issues is the application of artificial intelligence (AI) with the internet of things (IoT). The utilization of AI-powered Internet of Things solutions to support automated emergency response systems, predictive health analysis, and realtime patient monitoring is covered in this paper. In order to enhance healthcare results, the article presents a novel AI-IoT healthcare system built on wearable sensors, edge computing, and blockchain security. According to experimental findings, AI-based IoT healthcare significantly improves security, speeds up emergency response times, and increases patient monitoring accuracy. The effectiveness of this approach in rural healthcare settings is further supported by real-world case studies. The primary advantages, difficulties, and potential paths of AI-IoT healthcare applications are discussed in the study.

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Publication Details

Published
2025-08-15
DOI
https://doi.org/10.36227/techrxiv.175527487.74625271/v1
Primary Topic
Big Data and Business Intelligence
Type
article
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article

Sentient IoT: AI-Driven Revolution in Smart Healthcare & Emergency Response

Harihara Priyan K S, R. Rajaguru, S Parthiban, T . Vinothini et al.
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Big Data and Business Intelligence
article

Sentient IoT: AI-Driven Revolution in Smart Healthcare & Emergency Response

Harihara Priyan K S, R. Rajaguru, S Parthiban, T . Vinothini, M. Venkata Ramana
article en

Abstract

Due to a lack of medical facilities and sluggish emergency response times, access to healthcare remains a major problem in rural and underprivileged areas. A novel and scalable approach to solving these issues is the application of artificial intelligence (AI) with the internet of things (IoT). The utilization of AI-powered Internet of Things solutions to support automated emergency response systems, predictive health analysis, and realtime patient monitoring is covered in this paper. In order to enhance healthcare results, the article presents a novel AI-IoT healthcare system built on wearable sensors, edge computing, and blockchain security. According to experimental findings, AI-based IoT healthcare significantly improves security, speeds up emergency response times, and increases patient monitoring accuracy. The effectiveness of this approach in rural healthcare settings is further supported by real-world case studies. The primary advantages, difficulties, and potential paths of AI-IoT healthcare applications are discussed in the study.

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Sentient IoT: AI-Driven Revolution in Smart Healthcare & Emergency Response — Harihara Priyan K S, R. Rajaguru, et al. · (2025) | TGRS Research Map | TGRS