Visualization, Visual Analytics and Virtual Reality in Medicine 1st Edition

Visualization, Visual Analytics and Virtual Reality in Medicine — 1st Edition, edited by Bernhard Preim; Renata Raidou; Noeska Smit; Kai Lawonn

Capture the future of clinical insight with this definitive guide that brings together cutting-edge methods in medical visualization, visual analytics, and virtual reality. Designed for clinicians, researchers, data scientists and students, this 1st Edition translates complex algorithms and interaction paradigms into practical tools for diagnosis, surgical planning, medical training and clinical decision support.

Explore a clear, readable synthesis of state-of-the-art techniques: interactive 2D/3D medical imaging visualization, immersive VR applications for anatomy and simulation, visual analytics for large-scale patient data, and evaluation strategies for clinical usability. Case studies and application-driven examples demonstrate how visualization accelerates interpretation of MRI, CT and multimodal datasets and supports multidisciplinary workflows in hospitals and research centers.

What makes this volume essential is its interdisciplinary perspective — combining algorithmic rigor with human-centered design — so practitioners can apply methods responsibly in real-world settings. Whether you work in radiology, surgery, biomedical engineering or health informatics, you’ll gain practical guidance on integrating visualization into clinical pipelines, improving communication across teams, and enhancing medical education through immersive technologies.

Richly informed by leading experts, this book is a reliable reference for those shaping the next generation of healthcare technologies. Add this authoritative resource to your professional library and stay at the forefront of medical visualization and virtual reality innovation. Order now to empower better clinical decisions and transformative learning in healthcare worldwide.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.