國立虎尾科技大學 |

Digital Surgery

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Digital Surgery/ edited by Sam Atallah.
other author:	Atallah, Sam.
Description:	XVIII, 439 p. 190 illus., 175 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Surgery. -
Online resource:	https://doi.org/10.1007/978-3-030-49100-0
ISBN:	9783030491000

Digital Surgery
Digital Surgery[electronic resource] /edited by Sam Atallah. - 1st ed. 2021. - XVIII, 439 p. 190 illus., 175 illus. in color.online resource.

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.

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.

ISBN: 9783030491000

Standard No.: 10.1007/978-3-030-49100-0doiSubjects--Topical Terms:

644132
Surgery.

LC Class. No.: RD1-811

Dewey Class. No.: 617

Digital Surgery
LDR:04448nam a22003975i 4500 001 1045625
003 DE-He213
005 20210818073734.0
007 cr nn 008mamaa
008 220103s2021 sz | s |||| 0|eng d
020 $a 9783030491000 $9 978-3-030-49100-0
024 7 $a 10.1007/978-3-030-49100-0 $2 doi
035 $a 978-3-030-49100-0
050 4 $a RD1-811
072 7 $a MNC $2 bicssc
072 7 $a MED085000 $2 bisacsh
072 7 $a MNC $2 thema
082 0 4 $a 617 $2 23
245 1 0 $a Digital Surgery $h [electronic resource] / $c edited by Sam Atallah.
250 $a 1st ed. 2021.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a XVIII, 439 p. 190 illus., 175 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
505 0 $a 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.
520 $a 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.
650 0 $a Surgery. $3 644132
650 0 $a Oncology . $3 1253469
650 1 4 $a General Surgery. $3 673829
650 2 4 $a Oncology. $3 593951
700 1 $a Atallah, Sam. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1226213
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030490997
776 0 8 $i Printed edition: $z 9783030491017
776 0 8 $i Printed edition: $z 9783030491024
856 4 0 $u https://doi.org/10.1007/978-3-030-49100-0
912 $a ZDB-2-SME
912 $a ZDB-2-SXM
950 $a Medicine (SpringerNature-11650)
950 $a Medicine (R0) (SpringerNature-43714)