دانلود کتاب کاربرد زیست‌پزشکی کلان‌داده و هوش مصنوعی

The rapid advancement of big data and artificial intelligence (AI) has profoundly transformed biomedical research and healthcare, enabling more precise diagnoses, personalized treatments, and innovative medical solutions. This Special Issue, Biomedical Applications of Big Data and Artificial Intelligence, aims to provide a comprehensive exploration of the intersection between AI, data science, and medicine. It presents cutting-edge research on topics such as disease diagnosis, medical data analysis, image processing, cognitive load assessment, survival prediction, and medical knowledge extraction, offering both theoretical insights and practical applications. The motivation for this reprint stems from the growing need to bridge the gap between AI-driven analytics and biomedical challenges. While AI and big data techniques have shown immense potential in medical applications, challenges such as interpretability, data integration, and robustness remain critical. By curating state-of-the-art research, we aim to highlight the transformative power of AI and big data in healthcare, fostering deeper understanding and further advancements in the field. This reprint is primarily intended for researchers, practitioners, and graduate students in biomedical engineering, AI, and healthcare technology. It serves as a valuable resource for those seeking to understand the latest developments in AI-driven biomedical applications and the potential of big data methodologies in improving patient outcomes. We extend our heartfelt gratitude to all contributing authors for their insightful research and dedication. We express special thanks to the peer reviewers for their meticulous evaluations, ensuring the quality and integrity of the work herein. We also acknowledge the support from our academic institutions and research communities in fostering an environment conducive to interdisciplinary collaboration. We hope that this reprint inspires future research and contributes to ongoing dialog at the intersection of biomedical science, AI, and big data.