Artificial Intelligence-Driven Analysis of Big Health Data

Dear Colleagues,

This Special Issue aims to gather pioneering research and state-of-the-art reviews focusing on Artificial Intelligence (AI)-driven methodologies for analyzing big health data. With the unprecedented growth in healthcare datasets, there is a crucial need for advanced analytical methods to extract meaningful patterns, enhance predictive capabilities, and support clinical decision-making. AI technologies such as deep learning, natural language processing, and predictive modeling have significantly transformed healthcare by enabling precision medicine, personalized treatments, and improved patient outcomes. This issue will cover topics ranging from novel AI techniques in processing electronic health records, medical imaging analysis, and genomics data to ethical considerations, data privacy, and explainability in AI-driven healthcare. By synthesizing insights from diverse AI applications, this Special Issue intends to bridge gaps between theory and practice, enriching the existing literature and supporting the future direction of health informatics research.

Dr. Ziyu Jia
Dr. Hengguan Huang
Guest Editors

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