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Simulations in Medicine : Computer-aided diagnostics and therapy / Irena Roterman-Konieczna.

Contributor(s): Material type: TextTextLanguage: English Publisher: Berlin ; Boston : De Gruyter, [2020]Copyright date: ©2020Description: 1 online resource (XVIII, 188 p.)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783110667219
Subject(s): Additional physical formats: No title; No titleOnline resources:
Contents:
Frontmatter -- Foreword -- Contents -- Contributing authors -- 1 Personalized medicine -- 2 Machine learning approach to automatic recognition of emotions based on bioelectrical brain activity -- 3 Selected methods of quantitative analysis in electroencephalography -- 4 The visualization of the construction of the human eye -- 5 Three-dimensional printing in preoperative and intraoperative decision making -- 6 Virtual operating theater for planning Robin Heart robot operation -- 7 Hybrid room: Role in modern adult cardiac surgery -- 8 Holography as a progressive revolution in medicine -- 9 Robotic surgery in otolaryngology -- 10 Hospital management -- 11 Robotic surgery training, simulation, and data collection -- 12 Simulation in medical education—phantoms in medicine -- Index
Title is part of eBook package: EBOOK PACKAGE COMPLETE 2020 EnglishTitle is part of eBook package: EBOOK PACKAGE COMPLETE 2020Title is part of eBook package: EBOOK PACKAGE Medicine and Life Sciences 2020 EnglishTitle is part of eBook package: EBOOK PACKAGE Medicine and Life Sciences 2020Summary: Modern practical medicine requires high tech in diagnostics and therapy and in consequence in education. All disciplines use computers to handle large data bases allowing individual therapy, to interpret large data bases in form of neuronal signals, help visualization of organs during surgery. This book contains chapters on personalised therapy, advanced diagnostics in neurology, modern techniques like robotic surgery (da Vinci robots), 3D-printing and 3D-bioprinting, augmented reality applied in medical diagnostics and therapy. It is impossible without fast large scale data mining in both: clinical data interpretation as well as in hospital organization including hybrid surgery rooms and personal data flow. The book is based on a course for medical students organized in the editor's department. Every year, around 300 international undergraduate medical students take the course.
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Frontmatter -- Foreword -- Contents -- Contributing authors -- 1 Personalized medicine -- 2 Machine learning approach to automatic recognition of emotions based on bioelectrical brain activity -- 3 Selected methods of quantitative analysis in electroencephalography -- 4 The visualization of the construction of the human eye -- 5 Three-dimensional printing in preoperative and intraoperative decision making -- 6 Virtual operating theater for planning Robin Heart robot operation -- 7 Hybrid room: Role in modern adult cardiac surgery -- 8 Holography as a progressive revolution in medicine -- 9 Robotic surgery in otolaryngology -- 10 Hospital management -- 11 Robotic surgery training, simulation, and data collection -- 12 Simulation in medical education—phantoms in medicine -- Index

Open Access unrestricted online access star

https://purl.org/coar/access_right/c_abf2

Modern practical medicine requires high tech in diagnostics and therapy and in consequence in education. All disciplines use computers to handle large data bases allowing individual therapy, to interpret large data bases in form of neuronal signals, help visualization of organs during surgery. This book contains chapters on personalised therapy, advanced diagnostics in neurology, modern techniques like robotic surgery (da Vinci robots), 3D-printing and 3D-bioprinting, augmented reality applied in medical diagnostics and therapy. It is impossible without fast large scale data mining in both: clinical data interpretation as well as in hospital organization including hybrid surgery rooms and personal data flow. The book is based on a course for medical students organized in the editor's department. Every year, around 300 international undergraduate medical students take the course.

Mode of access: Internet via World Wide Web.

This eBook is made available Open Access under a CC BY-NC-ND 4.0 license:

https://creativecommons.org/licenses/by-nc-nd/4.0

https://www.degruyter.com/dg/page/open-access-policy

In English.

Description based on online resource; title from PDF title page (publisher's Web site, viewed 24. Apr 2020)

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