Luca Regli – författare

This book bridges the gap between data scientists and clinicians by introducing all relevant aspects of machine learning in an accessible way, and will certainly foster new and serendipitous applications of machine learning in the clinical neurosciences. Building from the ground up by communicating the foundational knowledge and intuitions first before progressing to more advanced and specific topics, the book is well-suited even for clinicians without prior machine learning experience.

Authored by a wide array of experienced global machine learning groups, the book is aimed at clinicians who are interested in mastering the basics of machine learning and who wish to get started with their own machine learning research. 

The Machine Intelligence in Clinical Neuroscience (MICN) Laboratory at the Department of Neurosurgery of the University Hospital Zurich studies clinical applications of machine intelligence to improve patient care in clinical neuroscience. The group focuses on diagnostic, prognostic and predictive analytics that aid in decision-making by increasing objectivity and transparency to patients. Other major interests of our group members are in medical imaging, and intraoperative applications of machine vision.

This volume provides an overview of new concepts in neurovascular interventions based on clinical and scientific knowledge of cerebrovascular disorders. It especially focuses on subarachnoid hemorrhage and cerebrovascular malformations, e.g. aneurysms, arterio-venous malformations, and cavernomas. A separate part addresses cerebral revascularization for both complex aneurysms and ischemia.

This is a proceeding book of 8th European-Japanese Cerebrovascular Congress (held in Zurich in 2016).

Since many experts from Europe and Japan had very important and fruitful discussion on the management of cerebrovascular diseases, the proceeding book will be very attractive for the physicians and scientists of the area.