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This book covers the content of European postgraduate spine surgery courses, using a case-based approach. It describes a stepwise solution to a real-world clinical problem and compares this with the best available evidence. It then provides suggestions on how to bridge the gap (if there is one) between standard of care and evidence-based medicine. Spine Surgery: A Case-Based Approach is aimed at postgraduate students of spine surgery (both trainee neurosurgeons and trainee orthopedic surgeons), and is also of interest to medical students.
Brains and Machines: Towards a unified Ethics of AI and Neuroscience provides a comprehensive overview of concepts and ethical issues at the intersection of two emerging technological trends in the 21st century: AI and neurotechnology. In line with recent advances across both fields, debates about philosophical, ethical, regulatory and social issues raised by neuroscience and AI have considerably expanded in the past decade. Yet, despite many intersections and fruitful interactions between the two scientific domains, ethical debates about neuroscience and AI have mostly moved in parallel. This volume assembles voices from various disciplines to provide a more unified view and offer novel per...
We are now entering the third decade of the 21st Century, and, especially in the last years, the achievements made by scientists have been exceptional, leading to major advancements in the fast-growing field of Oncology. Frontiers has organized a series of Research Topics to highlight the latest advancements in research across the field of Oncology, with articles from the Associate Members of our accomplished Editorial Boards. This editorial initiative of particular relevance, led by Prof. David Eisenstat, Specialty Chief Editor of the Neuro-Oncology and Neurosurgical Oncology section, together with Prof. Erik Sulman, focused on new insights, novel developments, current challenges, latest di...
The eight-volume set LNCS 12901, 12902, 12903, 12904, 12905, 12906, 12907, and 12908 constitutes the refereed proceedings of the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021, held in Strasbourg, France, in September/October 2021.* The 531 revised full papers presented were carefully reviewed and selected from 1630 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: image segmentation Part II: machine learning - self-supervised learning; machine learning - semi-supervised learning; and machine learning - weakly supervised learning Part III: machine learning - advances in m...