Journal of Soft Computing Paradigm
IRO Journals
Volume 7 — Issue 1 — March 2025

Impact of Artificial Intelligence on Geriatric Clinical Care for Chronic Diseases: Integrating Time-Series Analysis, Wearable Health Devices, CDSS, Medical Image Analysis, and Voice-Based Diagnostics

https://doi.org/10.36548/jscp.2025.1.001
Chaitanya Vasamsetty
Elevance Health, Georiga
Bhavya Kadiyala
Parkland Health, Texas
Sunil Kumar Alavilli
Sephora, California
Rajani Priya Nippatla
Kellton Technologies Inc, Texas
Subramanyam Boyapati
American Express, Arizona
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Vasamsetty, Chaitanya, Bhavya Kadiyala, Sunil Kumar Alavilli, Rajani Priya Nippatla, and Subramanyam Boyapati. 2025. “Impact of Artificial Intelligence on Geriatric Clinical Care for Chronic Diseases: Integrating Time-Series Analysis, Wearable Health Devices, CDSS, Medical Image Analysis, and Voice-Based Diagnostics”. Journal of Soft Computing Paradigm 7 (1): 1-16. https://doi.org/10.36548/jscp.2025.1.001.
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Keywords

— AI
— Geriatric Care
— Time-Series Analysis
— Wearable Devices
— CDSS
— Medical Imaging
— Voice Diagnostics
Published: 17-02-2025

Abstract

The rapidly aging population presents significant challenges in managing chronic diseases. This study explores an integrated AI-driven framework utilizing time-series analysis, wearable health devices, clinical decision support systems (CDSS), medical image analysis, and voice-based diagnostics to revolutionize geriatric care. The research focuses on predictive health monitoring, real-time data collection, evidence-based decision-making, and non-invasive diagnostics, aiming to enhance healthcare outcomes and simplify elderly care management. The proposed framework demonstrated superior performance, achieving 94% accuracy, 92% scalability, and a 95% F1 score compared to traditional methods. This scalable and efficient approach offers innovative, patient-centric solutions for geriatric healthcare by addressing the complexities of chronic disease management.

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