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008			200731s2021 sz | o |||| 0|eng d
020			_a9783030491000
024	7		_a10.1007/978-3-030-49100-0 _2doi
040			_bspa _cES-MaUEC _dES-MaUEC
050		4	_aR857.R63 _b2021 EB
245	0	0	_aDigital Surgery _cedited by Sam Atallah
250			_a1st edition 2021
264		1	_aCham _bSpringer International Publishing _c2021
300			_a1 recurso en línea (XVIII, 439 páginas) _b190 ilustraciones, 175 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
505	0		_aThe 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.
520	3		_aThis 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.
988			_aSpringer_Medicine_2021
650		7	_2embne _9667035 _aRobótica médica
700	1		_aAtallah, Sam _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9783030490997
776	0	8	_iPrinted edition: _z9783030491017
776	0	8	_iPrinted edition: _z9783030491024
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-49100-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b10/2022 _dz _eb _zSI