Smart Healthcare Monitoring: A Generative AI Approach for Real-Time Analysis

The GenAI-Driven Real-Time Healthcare Monitoring System is a novel solution for transforming modern healthcare through the integration of wearable devices, Generative Artificial Intelligence (GenAI), and machine learning models. It addresses the most critical challenges of data scarcity, continuous health monitoring, and personalized care. Heart rate, blood pressure, and oxygen saturation can be monitored in real-time through wearable devices. Predictions of cardiovascular risks are enabled by LightGBM models. Synthetic health datasets mimicking real-world health data are generated using GANs. Such generated synthetic datasets allow for privacy while training robust models. The proposed work is available through a web interface, the system offers current metrics, trends, and suggestions in real-time using advanced LLM. GDPR and other privacy compliance standards are considered while developing this platform, multiple user support is also considered for chronic disease management and preventive care. Scalable and privacy-oriented, this system will close the gaps in existing healthcare solutions, demonstrating improved prediction accuracy and usability. Future developments may include IoT integration and mobile accessibility.

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Publication Details

Published
2025-06-20
DOI
https://doi.org/10.1109/conit65521.2025.11166734
Primary Topic
Artificial Intelligence in Healthcare
Type
article
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article

Smart Healthcare Monitoring: A Generative AI Approach for Real-Time Analysis

Harshit Kumar, P. Swathi, M B Nirmala, Vinay Kumar A Deshmukh et al.
Artificial Intelligence in Healthcare
article

Smart Healthcare Monitoring: A Generative AI Approach for Real-Time Analysis

Harshit Kumar, P. Swathi, M B Nirmala, Vinay Kumar A Deshmukh, Shashank K Mahaladkar, N Tarun
article en

Abstract

The GenAI-Driven Real-Time Healthcare Monitoring System is a novel solution for transforming modern healthcare through the integration of wearable devices, Generative Artificial Intelligence (GenAI), and machine learning models. It addresses the most critical challenges of data scarcity, continuous health monitoring, and personalized care. Heart rate, blood pressure, and oxygen saturation can be monitored in real-time through wearable devices. Predictions of cardiovascular risks are enabled by LightGBM models. Synthetic health datasets mimicking real-world health data are generated using GANs. Such generated synthetic datasets allow for privacy while training robust models. The proposed work is available through a web interface, the system offers current metrics, trends, and suggestions in real-time using advanced LLM. GDPR and other privacy compliance standards are considered while developing this platform, multiple user support is also considered for chronic disease management and preventive care. Scalable and privacy-oriented, this system will close the gaps in existing healthcare solutions, demonstrating improved prediction accuracy and usability. Future developments may include IoT integration and mobile accessibility.

Institute of Art (PL), Tumkur University (IN)
Openalex Percentile: Top 71%
Artificial Intelligence in Healthcare
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Smart Healthcare Monitoring: A Generative AI Approach for Real-Time Analysis — Harshit Kumar, P. Swathi, et al. · (2025) | TGRS Research Map | TGRS