Artificial Intelligence And The Perspective Of Autonomous Surgery
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Artificial Intelligence And The Perspective Of Autonomous Surgery
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Author : Konrad Karcz
language : en
Publisher: Springer Nature
Release Date : 2024-12-23
Artificial Intelligence And The Perspective Of Autonomous Surgery written by Konrad Karcz and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-23 with Medical categories.
This book has two heroes - the surgeon and the robot. The education system and intelligence can create a human who is specialized in surgery. While the accurate analysis of data with machine learning, AI, can create a more autonomous robot for surgery. Currently, robots still require human input in the decision-making loop, whether or not this will always be the case is an issue that still needs to be debated, analyzed and studied, preferably by computer scientists AND surgeons. Surgeons and their patients are increasingly opting for less invasive surgeries. However, among their many advantages, there is an important issue: less invasiveness always means limited access to direct information from the operating field (3D image, local palpation sensations, all information about the "whole" patient and feedback from the accompanying team during teleoperation). To increase precision, we are increasingly using surgical robots and mechatronic instruments. The less invasive the surgery and the greater the precision of robotic micro-instruments, the greater the role of artificial intelligence methods, especially machine learning, which supports the surgeon in making decisions, planning and performing the procedure. The development of artificial intelligence and further evidence of its effectiveness in various application fields mean that the work of a doctor is changing today. In the book, we address the issue of AI surgery, asking whether this means that an AI surgeon will be created? A key question about autonomous surgical robots will come up regularly: how far can we go with their autonomy while maintaining safe and effective procedures? The book provides useful information on both early successes, failures, and expectations related to the development of new technologies in surgery. It is a guide written by various experts, intended for a wide audience: from medical development planners, through students, to doctors and decision-makers.
Artificial Intelligence In Surgery Understanding The Role Of Ai In Surgical Practice
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Author : Daniel A. Hashimoto
language : en
Publisher: McGraw Hill Professional
Release Date : 2021-03-08
Artificial Intelligence In Surgery Understanding The Role Of Ai In Surgical Practice written by Daniel A. Hashimoto and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-08 with Medical categories.
Build a solid foundation in surgical AI with this engaging, comprehensive guide for AI novices Machine learning, neural networks, and computer vision in surgical education, practice, and research will soon be de rigueur. Written for surgeons without a background in math or computer science, Artificial Intelligence in Surgery provides everything you need to evaluate new technologies and make the right decisions about bringing AI into your practice. Comprehensive and easy to understand, this first-of-its-kind resource illustrates the use of AI in surgery through real-life examples. It covers the issues most relevant to your practice, including: Neural Networks and Deep Learning Natural Language Processing Computer Vision Surgical Education and Simulation Preoperative Risk Stratification Intraoperative Video Analysis OR Black Box and Tracking of Intraoperative Events Artificial Intelligence and Robotic Surgery Natural Language Processing for Clinical Documentation Leveraging Artificial Intelligence in the EMR Ethical Implications of Artificial Intelligence in Surgery Artificial Intelligence and Health Policy Assessing Strengths and Weaknesses of Artificial Intelligence Research Finally, the appendix includes a detailed glossary of terms and important learning resources and techniques―all of which helps you interpret claims made by studies or companies using AI.
Artificial Intelligence In Healthcare
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Author : Adam Bohr
language : en
Publisher: Academic Press
Release Date : 2020-06-21
Artificial Intelligence In Healthcare written by Adam Bohr and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-21 with Computers categories.
Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data
Novel Innovation Design For The Future Of Health
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Author : Michael Friebe
language : en
Publisher: Springer Nature
Release Date : 2022-11-26
Novel Innovation Design For The Future Of Health written by Michael Friebe and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-26 with Science categories.
This book highlights the reasons for an urgently needed revision of the current global healthcare setup, discusses the needed mindset for a future of health, and provides a comprehensive development toolset for disruption (and for the needed incremental innovations towards disruption). Today’s biomedical and health innovation related research in universities encourages activities that lead to incremental innovations with a relatively low risk of failure. The healthcare industry on the other hand provides tools and devices for established healthcare providers to improve the diagnosis and therapy/ treatment of the patients’ health problems. The patient is not in the center of healthcare provision however, and prevention and prediction are not core goals. The current health setup needs to be challenged and disrupted. Disruptions are coming from technologies or processes that lead to a significant (>10x) reduction in cost or price/ performance and that also come with new business models. The need for change, effects of exponential technologies, and the needed shift to prevention and to homecare for health democratization and patient empowerment will be discussed in detail in the first parts of the book. The subsequent sections address several innovation methods with a focus on a novel meta methodology named Purpose Launchpad Health. This is followed by a comprehensive discussion on health entrepreneurship activities and needs. The final section of the book addresses how to train students to become entrepreneurial health innovators, presenting successful curricula and examples of health incubation and accelerator setups. All of the innovation tools presented and used in this book are summarized in the final chapter to help the reader get started planning an entrepreneurial venture. Written by experts from academia and industry, the book covers important basics and best practices, as well as recent developments. Chapters are concise and enriched with key messages, learning objectives and real innovation examples to bridge theory and practice. This book aims to serve as a teaching base for health innovation design and to prepare for health-related entrepreneurial ventures. Readers with medical, biomedical, biotechnology, and health economics backgrounds - and anyone who wants to become a future oriented health innovator or who believes in disruptive approaches - will find this book a useful resource and teaching tool for developing validated products/ services and processes for the future of health.
Innovative Perspective In Surgery
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Author : Sibel AKYOL
language : en
Publisher: Livre de Lyon
Release Date : 2023-02-15
Innovative Perspective In Surgery written by Sibel AKYOL and has been published by Livre de Lyon this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-15 with Medical categories.
Innovative Perspective in Surgery
Artificial Intelligence In Management
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Author : Andrzej Wodecki
language : en
Publisher: Edward Elgar Publishing
Release Date : 2020-11-27
Artificial Intelligence In Management written by Andrzej Wodecki and has been published by Edward Elgar Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-27 with Business & Economics categories.
Autonomous systems are on the frontiers of Artificial Intelligence (AI) research, and they are slowly finding their business applications. Driven mostly by Reinforcement Learning (RL) methods (one of the most difficult, but also the most promising modern AI algorithms), autonomous systems help create self-learning and self-optimising systems, ranging from simple game-playing agents to robots able to efficiently act in completely new environments. Based on in-depth study of more than 100 projects, Andrzej Wodecki explores RL as a key component of modern digital technologies, its real-life applications to activities in a value chain and the ways in which it impacts different industries.
Engineering Psychology And Cognitive Ergonomics Cognition And Design
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Author : Don Harris
language : en
Publisher: Springer Nature
Release Date : 2020-07-10
Engineering Psychology And Cognitive Ergonomics Cognition And Design written by Don Harris and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-10 with Computers categories.
This book constitutes the proceedings of the 17th International Conference on Engineering Psychology and Cognitive Ergonomics, EPCE 2020, held as part of the 22nd International Conference, HCI International 2020, which took place in Copenhagen, Denmark, in July 2020. The total of 1439 papers and 238 posters included in the 37 HCII 2020 proceedings volumes was carefully reviewed and selected from 6326 submissions. EPCE 2020 includes a total of 60 regular papers; they were organized in topical sections named: mental workload and performance; human physiology, human energy and cognition; cognition and design of complex and safety critical systems; human factors in human autonomy teaming and intelligent systems; cognitive psychology in aviation and automotive. As a result of the Danish Government's announcement, dated April 21, 2020, to ban all large events (above 500 participants) until September 1, 2020, the HCII 2020 conference was held virtually.
Exploring Machine Learning A Beginners Perspective
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Author : Dr. Raghuram Bhukya
language : en
Publisher: Horizon Books ( A Division of Ignited Minds Edutech P Ltd)
Release Date : 2021-04-20
Exploring Machine Learning A Beginners Perspective written by Dr. Raghuram Bhukya and has been published by Horizon Books ( A Division of Ignited Minds Edutech P Ltd) this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-20 with Computers categories.
Machine learning is a field of Artificial intelligence that provides algorithms those can learn and improve from experiences. Machine learning algorithms are turned as integral parts of today’s digital life. Its applications include recommender systems, targeted campaigns, text categorization, computer vision and auto security systems etc. Machine learning also considered as essential part of data science due to its capability of providing predictive analytics, capability in handling variety of data and suitability for big data applications. Its capability for predictive analytics resulted of its general structure that is building statistical models out of training data. In other hand easy scalability advantage of machine learning algorithms is making them to be suitable for big data applications. The different types of learning algorithms includes supervised learning, unsupervised learning, reinforcement learning, feature learning, rule based learning, Robot or expert system learning, sparse dictionary and anomaly detection. These learning algorithms can be realized by computing models artificial neural networks, decision trees, support vector machines, regression analysis, Bayesian networks, Genetic algorithms and soft computing. The familiar tools to implement machine learning algorithms include Python, R, Matlab, Scala, Clojure and Ruby. Involving of such open source programming languages, tools and social network communities makes the machine learning most progressing filed of computer science. The machine learning life cycle includes defining project objectives, explore the types and format, modeling data to fit for machine learning algorithms, deciding suitable machine learning model and implement and decide best result from data for decision making. These days, machine learning is observing great interest by the society and it has turned as one of the significant responsibility of top level managers to transform their business in the profitable means by exploring its basic functionalities. The world is at the sheer of realizing a situation where machines will work in agreement with human being to work together, operation, and advertise their services in a novel way which is targeted, valuable, and well-versed. In order to achieve this, they can influence machine learning distinctiveness. Dr. Raghuram Bhukya
Medical Devices
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Author : Martin Culjat
language : en
Publisher: John Wiley & Sons
Release Date : 2012-11-12
Medical Devices written by Martin Culjat and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-11-12 with Science categories.
Addressing the exploding interest in bioengineering for healthcare applications, this book provides readers with detailed yet easy-to-understand guidance on biomedical device engineering. Written by prominent physicians and engineers, Medical Devices: Surgical and Image-Guided Technologies is organized into stand-alone chapters covering devices and systems in diagnostic, surgical, and implant procedures. Assuming only basic background in math and science, the authors clearly explain the fundamentals for different systems along with such topics as engineering considerations, therapeutic techniques and applications, future trends, and more. After describing how to manage a design project for medical devices, the book examines the following: Instruments for laparoscopic and ophthalmic surgery, plus surgical robotics Catheters in vascular therapy and energy-based hemostatic surgical devices Tissue ablation systems and the varied uses of lasers in medicine Vascular and cardiovascular devices, plus circulatory support devices Ultrasound transducers, X-ray imaging, and neuronavigation An absolute must for biomedical engineers, Medical Devices: Surgical and Image-Guided Technologies is also an invaluable guide for students in all engineering majors and pre-med programs interested in exploring this fascinating field.
Research Handbook On Meaningful Human Control Of Artificial Intelligence Systems
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Author : Giulio Mecacci
language : en
Publisher: Edward Elgar Publishing
Release Date : 2024-07-05
Research Handbook On Meaningful Human Control Of Artificial Intelligence Systems written by Giulio Mecacci and has been published by Edward Elgar Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-05 with Technology & Engineering categories.
This prescient Research Handbook analyses the ethical development of Artificial Intelligence systems through the prism of meaningful human control. It encapsulates a multitude of disciplinary lenses including technical, philosophical and legal, making a crucial contribution to the ongoing discourse about control and responsibility in the field of AI.