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This book combines technology and the medical domain. It covers advances in computer vision (CV) and machine learning (ML) that facilitate automation in diagnostics and therapeutic and preventive health care. The special focus on eXplainable Artificial Intelligence (XAI) uncovers the black box of ML and bridges the semantic gap between the technologists and the medical fraternity. Explainable AI in Healthcare: Unboxing Machine Learning for Biomedicine intends to be a premier reference for practitioners, researchers, and students at basic, intermediary levels and expert levels in computer science, electronics and communications, information technology, instrumentation and control, and electri...
In this issue of MRI Clinics, guest editors Drs. Carlos Torres and Roy Riascos bring their considerable expertise to the topic of Spine Imaging. Top experts in the field offer a comprehensive review of the use of spine imaging to detect major issues, with articles on anatomy and pathology of the cranio-cervical junction, artificial intelligence, degenerative disease, marrow imaging, and many more. - Contains 12 relevant, practice-oriented topics including AI in spine imaging; MR imaging in cervical spine trauma; imaging approach to myelopathy; role of MR imaging in spine infection; and more - Provides in-depth clinical reviews on spine imaging, offering actionable insights for clinical practice - Presents the latest information on this timely, focused topic under the leadership of experienced editors in the field. Authors synthesize and distill the latest research and practice guidelines to create clinically significant, topic-based reviews
The American Heart Association’s Scientific Sessions 2019 is bringing big science, big technology, and big networking opportunities to Philadelphia, Pennsylvania this November. This event features five days of the best in science and cardiovascular clinical practice covering all aspects of basic, clinical, population and translational content.