AI-Enhanced Healthcare: Leveraging Predictive Analytics for Disease Management

This technical article explores the transformative impact of Artificial Intelligence (AI) in healthcare, focusing on its implementation, challenges, and ethical considerations. The article examines the architectural framework of healthcare predictive analytics systems, including data ingestion, processing, and analytics layers. It investigates the clinical applications across diagnostic enhancement and treatment optimization while addressing critical implementation challenges in data management and clinical integration. The article further delves into ethical considerations, particularly examining algorithmic bias, transparency requirements, and patient autonomy in AI-assisted healthcare settings. This article provides insights into AI integration in healthcare and its implications for future medical practices through extensive analysis of multiple healthcare facilities and research studies.

Authors

Publication Details

Journal
International Journal For Multidisciplinary Research
Published
2024-12-24
DOI
https://doi.org/10.36948/ijfmr.2024.v06i06.33721
Primary Topic
Artificial Intelligence in Healthcare
Type
article
Field-Weighted Citation Impact
0.00
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article

AI-Enhanced Healthcare: Leveraging Predictive Analytics for Disease Management

Vedaswaroop Meduri
International Journal For Multidisciplinary Research
Artificial Intelligence in Healthcare
article

AI-Enhanced Healthcare: Leveraging Predictive Analytics for Disease Management

Vedaswaroop Meduri
article en

Abstract

This technical article explores the transformative impact of Artificial Intelligence (AI) in healthcare, focusing on its implementation, challenges, and ethical considerations. The article examines the architectural framework of healthcare predictive analytics systems, including data ingestion, processing, and analytics layers. It investigates the clinical applications across diagnostic enhancement and treatment optimization while addressing critical implementation challenges in data management and clinical integration. The article further delves into ethical considerations, particularly examining algorithmic bias, transparency requirements, and patient autonomy in AI-assisted healthcare settings. This article provides insights into AI integration in healthcare and its implications for future medical practices through extensive analysis of multiple healthcare facilities and research studies.

International Journal For Multidisciplinary ResearchVol. 6(6)
Openalex Percentile: Top 66%
Artificial Intelligence in Healthcare
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