Surgical Decision Making Evidence And Artificial Intelligence An Issue Of Surgical Clinics Volume 103 2 PDF Download
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| Author | : Jason Bingham |
| Publisher | : Elsevier Health Sciences |
| Total Pages | : 169 |
| Release | : 2023-03-26 |
| Genre | : Medical |
| ISBN | : 0323939805 |
Download Surgical Decision Making, Evidence, and Artificial Intelligence, An Issue of Surgical Clinics, E-Book Book in PDF, ePub and Kindle
In this issue, guest editors bring their considerable expertise to this important topic. Provides in-depth reviews on the latest updates in the field, providing actionable insights for clinical practice. Presents the latest information on this timely, focused topic under the leadership of experienced editors in the field. Authors synthesize
| Author | : Konrad Karcz |
| Publisher | : Springer |
| Total Pages | : 0 |
| Release | : 2024-11-15 |
| Genre | : Medical |
| ISBN | : 9783031685736 |
Download Artificial Intelligence and the Perspective of Autonomous Surgery Book in PDF, ePub and Kindle
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.
| Author | : Daniel A. Hashimoto |
| Publisher | : McGraw Hill Professional |
| Total Pages | : 432 |
| Release | : 2021-03-08 |
| Genre | : Medical |
| ISBN | : 1260452743 |
Download Artificial Intelligence in Surgery: Understanding the Role of AI in Surgical Practice Book in PDF, ePub and Kindle
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.
| Author | : Jacopo Martellucci |
| Publisher | : Springer |
| Total Pages | : 0 |
| Release | : 2024-04-15 |
| Genre | : Medical |
| ISBN | : 9783031476228 |
Download Towards the Future of Surgery Book in PDF, ePub and Kindle
The book provides an overview of the characteristics and skills – both technical and soft - needed to become the surgical leaders of tomorrow. During the COVID pandemic, the methodological weakness in accessing and disseminating information in has become evident: this has fostered the digital development and has favoured the creation of networks and communities of individuals (not only physicians or surgeons) pointing the way to global knowledge sharing. The development of the technological offer applied to surgery has been very rapid, with the integration of minimally invasive and robotic surgery with artificial intelligence and computerization of decision-making processes, up to the extreme limit of space surgery. However, in the future of this discipline surgeons will no longer need to consider only improved access to knowledge and evolution of technology, as a great challenge will be represented by the parallel development of non-technical skills (leadership, communication, team-working) and by the careful application of healthcare management principles to clinical practice. Finally, in the near future (but already in the present), it will be impossible to ignore the economic impact of high-tech care and equity in access to care. The book describes a journey, which starts from the history of surgical education to cross the most relevant perspectives of present and future, exploring new learning models, the thousand applications of artificial intelligence, and surgical technology to the space and back.
| Author | : Arjun Panesar |
| Publisher | : Apress |
| Total Pages | : 390 |
| Release | : 2019-02-04 |
| Genre | : Computers |
| ISBN | : 1484237994 |
Download Machine Learning and AI for Healthcare Book in PDF, ePub and Kindle
Explore the theory and practical applications of artificial intelligence (AI) and machine learning in healthcare. This book offers a guided tour of machine learning algorithms, architecture design, and applications of learning in healthcare and big data challenges. You’ll discover the ethical implications of healthcare data analytics and the future of AI in population and patient health optimization. You’ll also create a machine learning model, evaluate performance and operationalize its outcomes within your organization. Machine Learning and AI for Healthcare provides techniques on how to apply machine learning within your organization and evaluate the efficacy, suitability, and efficiency of AI applications. These are illustrated through leading case studies, including how chronic disease is being redefined through patient-led data learning and the Internet of Things. What You'll LearnGain a deeper understanding of key machine learning algorithms and their use and implementation within wider healthcare Implement machine learning systems, such as speech recognition and enhanced deep learning/AI Select learning methods/algorithms and tuning for use in healthcare Recognize and prepare for the future of artificial intelligence in healthcare through best practices, feedback loops and intelligent agentsWho This Book Is For Health care professionals interested in how machine learning can be used to develop health intelligence – with the aim of improving patient health, population health and facilitating significant care-payer cost savings.
| Author | : Vincent Francois-Lavet |
| Publisher | : Foundations and Trends (R) in Machine Learning |
| Total Pages | : 156 |
| Release | : 2018-12-20 |
| Genre | : |
| ISBN | : 9781680835380 |
Download An Introduction to Deep Reinforcement Learning Book in PDF, ePub and Kindle
Deep reinforcement learning is the combination of reinforcement learning (RL) and deep learning. This field of research has recently been able to solve a wide range of complex decision-making tasks that were previously out of reach for a machine. Deep RL opens up many new applications in domains such as healthcare, robotics, smart grids, finance, and many more. This book provides the reader with a starting point for understanding the topic. Although written at a research level it provides a comprehensive and accessible introduction to deep reinforcement learning models, algorithms and techniques. Particular focus is on the aspects related to generalization and how deep RL can be used for practical applications. Written by recognized experts, this book is an important introduction to Deep Reinforcement Learning for practitioners, researchers and students alike.
| Author | : Juri Yanase |
| Publisher | : Infinite Study |
| Total Pages | : 51 |
| Release | : |
| Genre | : Mathematics |
| ISBN | : |
Download A Systematic Survey of Computer-Aided Diagnosis in Medicine: Past and Present Developments Book in PDF, ePub and Kindle
Computer-aided diagnosis (CAD) in medicine is the result of a large amount of effort expended in the interface of medicine and computer science. As some CAD systems in medicine try to emulate the diagnostic decision-making process of medical experts, they can be considered as expert systems in medicine.
| Author | : Adam Bohr |
| Publisher | : Academic Press |
| Total Pages | : 385 |
| Release | : 2020-06-21 |
| Genre | : Computers |
| ISBN | : 0128184396 |
Download Artificial Intelligence in Healthcare Book in PDF, ePub and Kindle
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
| Author | : David Riaño |
| Publisher | : Springer |
| Total Pages | : 431 |
| Release | : 2019-06-19 |
| Genre | : Computers |
| ISBN | : 303021642X |
Download Artificial Intelligence in Medicine Book in PDF, ePub and Kindle
This book constitutes the refereed proceedings of the 17th Conference on Artificial Intelligence in Medicine, AIME 2019, held in Poznan, Poland, in June 2019. The 22 revised full and 31 short papers presented were carefully reviewed and selected from 134 submissions. The papers are organized in the following topical sections: deep learning; simulation; knowledge representation; probabilistic models; behavior monitoring; clustering, natural language processing, and decision support; feature selection; image processing; general machine learning; and unsupervised learning.
| Author | : Patrick Glauner |
| Publisher | : Springer Nature |
| Total Pages | : 295 |
| Release | : 2021-03-13 |
| Genre | : Business & Economics |
| ISBN | : 3030658961 |
Download Digitalization in Healthcare Book in PDF, ePub and Kindle
Digital technologies are currently dramatically changing healthcare. This book introduces the reader to the latest digital innovations in healthcare in fields such as artificial intelligence, points out new ways in patient care and describes the limits of its application. It also offers essential guidance in the form of structured and authoritative contributions by domain experts spanning from artificial intelligence to hospital management to radiology to dentistry to preventive medicine. Furthermore, it shares ideas and experiences of industry veterans, in particular on how IT-driven solutions could solve long-standing issues in the fields of healthcare and hospitalization. It also gives advice on what new digital technologies to consider for becoming a healthcare market leader in the future. Taken together, these contributions provide a “road map” to guide decision makers, physicians, academics, industry representatives and other interested readers to understand the large impact of digital technology on healthcare today and its enormous potential for future development.
