This Special Issue, Biomedical Applications of Big Data and Artificial Intelligence, explores the transformative role of AI and big data in biomedical research and healthcare. This volume features 14 rigorously reviewed studies covering topics such as disease diagnosis, medical image processing, survival prediction, cognitive load assessment, and medical knowledge extraction. By integrating AI-driven methodologies with big data analytics, these studies aim to enhance diagnostic accuracy, medical efficiency, and personalized treatment planning.

Bridging the gap between AI-driven analytics and real-world medical applications, this reprint provides researchers, practitioners, and healthcare professionals with cutting-edge insights and methodologies. By collating studies exploring research areas including deep learning models for pathology segmentation, wearable ECG systems, or graph-based neural networks for patient monitoring, this collection presents a comprehensive overview of the latest advancements in AI-powered biomedical solutions. It is an essential resource for those interested in the intersection of data science, AI, and medicine, paving the way for future breakthroughs in healthcare technology.

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