2 publications

  • Published Subscription Original Research

    Federated Learning for Privacy-Preserving AI Model Training Across Distributed Healthcare Systems

    Abstract: Building effective AI diagnostic tools in clinical environments presents a fundamental contradiction — the patient data most critical to model performance is precisely the data subject to the strictest legal and institutional restrictions. Regulations such as HIPAA and GDPR, while essential for protecting patient rights, render conventional centralized training pipelines largely impractical in real hospital settings where data cannot be transferred, pooled, or shared across institutional boundaries. This paper presents …

    Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article

  • Published Subscription Original Research

    Artificial Intelligence–Driven Decision Support Systems for Smart and Efficient Data Analysis

    Abstract: Artificial Intelligence (AI) has emerged as a transformative technology reshaping the way organizations process information, analyze data, and support decision-making. With the rapid growth of digital data across sectors, traditional analytical methods often face limitations in handling large, complex, and dynamic datasets. AI-based techniques, particularly machine learning and intelligent decision support systems, provide advanced capabilities for identifying hidden patterns, predicting outcomes, and assisting in data-driven decisions. This paper examines the …

    Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article

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