Digital surgery / edited by Sam Atallah.
Atallah, Sam., editor.
2021
R857.R63
Available Online

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Title Digital surgery / edited by Sam Atallah.
Edition 1st ed. 2021.
ISBN 3030491005
9783030491000
3030490998
9783030490997
DOI https://doi.org/10.1007/978-3-030-49100-0.
Published Cham : Springer, 2021.
Language English
Description 1 online resource (xviii, 439 pages) : 190 illustrations, 175 illustrations in color
Other Standard Identifiers 10.1007/978-3-030-49100-0. doi
10.1007/978-3-030-49
Call Number R857.R63
Dewey Decimal Classification 617
Summary This book provides a trove of insightful perspectives on the current state and the realization of digital surgery. Digital surgery entails the application of artificial intelligence and machine learning toward automation in robotic-assisted surgery. More generally, the objective is to digitally define the patient, the surgical field, and the surgical problem or task at hand; to operate based on information, rather than based on anatomic planes alone. But digital surgery has shapeshifted into other, equally intriguing faces - many of which are exemplified by topics throughout this book. Digital surgery is fundamental to 3D-printed organs, mind-controlled limbs, image-guided navigation, and tele-mentoring. It is the key that unlocks the metaphorical doorway to surgical access, thereby creating a global framework for surgical training, education, planning, and much more. This text provides methods of measurement and perception outside of the human umwelt - including the ability to visualize fields beyond the visible light spectrum, via near infrared fluorescent organic dyes which are rapidly being bioengineered to target specific tumors, as well as native anatomic structures of interest. Written by experts in the field, Digital Surgery is designed to help surgeons operate with an enriched understanding of an individual's specific attributes: including the human phenome, physiome, microbiome, genome, and epigenome. It also aids surgeons in harnessing the power and fluidity of the cloud, which is emerging as a significant resource for surgeons both regionally and globally.
Access Note Access limited to authorized users.
Added Author Atallah, Sam., editor.
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
The Cognitive Revolution
The Vision of Digital Surgery
Artificial Intelligence for Next Generation Medical Robotics
Cloud Computing for Robotics and Surgery
Quantum Theory and Computing for Surgeons
5G Networks, Haptic Codecs, and the Operating Theater
Haptics and Vision Systems for Surgical Robots
Digital and Printed 3D Models for Surgical Planning
Realistic Organ Models for Simulation and Training
The Challenge of Augmented Reality in Surgery
Navigation and Image-Guided Surgery
Operating in the Near Infrared Spectrum
Fluorescence Guided Resections: A Binary Approach to Surgery
A Virtual Reality for the Digital Surgeon
Robotic Automation for Surgery
3D Bioprinting
Augmented Reality for Interventional Procedures
The Visible Patient: Augmented Reality in the Operating Theater
Augmented Cognition in the Operating Room
Cooperative and Miniature Robotics: Potential Applications in Surgery
Human-Machine Integration and the Evolution of Neuroprostheses
Non-Linear Robotics in Surgery
Artificial Intelligence and Machine Learning: Implications for Surgery
AI and Endoscopy: Future Perspectives
Explainable AI for the Operating Theater
A Digital Doorway to Global Surgery
Telementoring for Minimally Invasive Surgery
Digital Medical School: New Paradigms for Tomorrow's Surgical Education
3D Simulation and Modeling for Surgeon Education and Patient Engagement
Next Generation Surgical Robots
Artificial Intelligence and Computer Vision
The Future of Surgery.

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