Artificial Intelligence In Surgery Understanding The Role Of Ai In Surgical Practice
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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 Surgery Understanding The Role Of Ai In Surgical Practice
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Author : Daniel A. Hashimoto
language : en
Publisher: McGraw-Hill Education / Medical
Release Date : 2021-07-09
Artificial Intelligence In Surgery Understanding The Role Of Ai In Surgical Practice written by Daniel A. Hashimoto and has been published by McGraw-Hill Education / Medical this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-09 with Medical categories.
Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. 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.
Clinical Education For The Health Professions
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Author : Debra Nestel
language : en
Publisher: Springer Nature
Release Date : 2023-07-19
Clinical Education For The Health Professions written by Debra Nestel and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-19 with Education categories.
This book compiles state-of-the art and science of health professions education into an international resource showcasing expertise in many and varied topics. It aligns profession-specific contributions with inter-professional offerings, and prompts readers to think deeply about their educational practices. The book explores the contemporary context of health professions education, its philosophical and theoretical underpinnings, whole of curriculum considerations, and its support of learning in clinical settings. In specific topics, it offers approaches to assessment, evidence-based educational methods, governance, quality improvement, scholarship and leadership in health professions education, and some forecasting of trends and practices. This book is an invaluable resource for students, educators, academics and anyone interested in health professions education.
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
Artificial Intelligence And Deep Learning In Pathology
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Author : Stanley Cohen
language : en
Publisher: Elsevier Health Sciences
Release Date : 2020-06-02
Artificial Intelligence And Deep Learning In Pathology written by Stanley Cohen and has been published by Elsevier Health Sciences this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-02 with Medical categories.
Recent advances in computational algorithms, along with the advent of whole slide imaging as a platform for embedding artificial intelligence (AI), are transforming pattern recognition and image interpretation for diagnosis and prognosis. Yet most pathologists have just a passing knowledge of data mining, machine learning, and AI, and little exposure to the vast potential of these powerful new tools for medicine in general and pathology in particular. In Artificial Intelligence and Deep Learning in Pathology, Dr. Stanley Cohen covers the nuts and bolts of all aspects of machine learning, up to and including AI, bringing familiarity and understanding to pathologists at all levels of experience. Focuses heavily on applications in medicine, especially pathology, making unfamiliar material accessible and avoiding complex mathematics whenever possible. Covers digital pathology as a platform for primary diagnosis and augmentation via deep learning, whole slide imaging for 2D and 3D analysis, and general principles of image analysis and deep learning. Discusses and explains recent accomplishments such as algorithms used to diagnose skin cancer from photographs, AI-based platforms developed to identify lesions of the retina, using computer vision to interpret electrocardiograms, identifying mitoses in cancer using learning algorithms vs. signal processing algorithms, and many more.
Ai For Healthcare Robotics
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Author : Eduard Fosch-Villaronga
language : en
Publisher: CRC Press
Release Date : 2022-06-07
Ai For Healthcare Robotics written by Eduard Fosch-Villaronga and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-07 with Computers categories.
What is artificial intelligence (AI)? What is healthcare robotics? How can AI and healthcare robotics assist in contemporary medicine? Robotics and AI can offer society unimaginable benefits, such as enabling wheelchair users to walk again, performing surgery in a highly automated and minimally invasive way, and delivering care more efficiently. AI for Healthcare Robotics explains what healthcare robots are and how AI empowers them in achieving the goals of contemporary medicine.
Artificial Intelligence In Medical Imaging
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Author : Erik R. Ranschaert
language : en
Publisher: Springer
Release Date : 2019-01-29
Artificial Intelligence In Medical Imaging written by Erik R. Ranschaert and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-29 with Medical categories.
This book provides a thorough overview of the ongoing evolution in the application of artificial intelligence (AI) within healthcare and radiology, enabling readers to gain a deeper insight into the technological background of AI and the impacts of new and emerging technologies on medical imaging. After an introduction on game changers in radiology, such as deep learning technology, the technological evolution of AI in computing science and medical image computing is described, with explanation of basic principles and the types and subtypes of AI. Subsequent sections address the use of imaging biomarkers, the development and validation of AI applications, and various aspects and issues relating to the growing role of big data in radiology. Diverse real-life clinical applications of AI are then outlined for different body parts, demonstrating their ability to add value to daily radiology practices. The concluding section focuses on the impact of AI on radiology and the implications for radiologists, for example with respect to training. Written by radiologists and IT professionals, the book will be of high value for radiologists, medical/clinical physicists, IT specialists, and imaging informatics professionals.
Ai First Healthcare
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Author : Kerrie L. Holley
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2021-04-19
Ai First Healthcare written by Kerrie L. Holley and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-19 with Business & Economics categories.
AI is poised to transform every aspect of healthcare, including the way we manage personal health, from customer experience and clinical care to healthcare cost reductions. This practical book is one of the first to describe present and future use cases where AI can help solve pernicious healthcare problems. Kerrie Holley and Siupo Becker provide guidance to help informatics and healthcare leadership create AI strategy and implementation plans for healthcare. With this book, business stakeholders and practitioners will be able to build knowledge, a roadmap, and the confidence to support AIin their organizations—without getting into the weeds of algorithms or open source frameworks. Cowritten by an AI technologist and a medical doctor who leverages AI to solve healthcare’s most difficult challenges, this book covers: The myths and realities of AI, now and in the future Human-centered AI: what it is and how to make it possible Using various AI technologies to go beyond precision medicine How to deliver patient care using the IoT and ambient computing with AI How AI can help reduce waste in healthcare AI strategy and how to identify high-priority AI application
Artificial Intelligence In Medicine
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Author : Niklas Lidströmer
language : en
Publisher: Springer
Release Date : 2022-03-17
Artificial Intelligence In Medicine written by Niklas Lidströmer and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-17 with Medical categories.
This book provides a structured and analytical guide to the use of artificial intelligence in medicine. Covering all areas within medicine, the chapters give a systemic review of the history, scientific foundations, present advances, potential trends, and future challenges of artificial intelligence within a healthcare setting. Artificial Intelligence in Medicine aims to give readers the required knowledge to apply artificial intelligence to clinical practice. The book is relevant to medical students, specialist doctors, and researchers whose work will be affected by artificial intelligence.
Surgical Ethics
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Author : Laurence B. McCullough
language : en
Publisher: Oxford University Press
Release Date : 1998-04-02
Surgical Ethics written by Laurence B. McCullough and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-04-02 with Medical categories.
The first textbook on the subject, this is a practical, clinically comprehensive guide to ethical issues in surgical practice, research, and education written by some of the most prominent figures in the fields of surgery and bioethics. Discussions of informed consent, confidentiality, and advance directives--core concepts integral to every surgeon-patient relationship--open the volume. Seven chapters tackle the ethical issues in surgical practice, covering the full range of surgical patients--from emergency, acute, high-risk, and elective patients, to poor surgical risk and dying patients. The book even considers the special relationship between the surgeon and patients who are family members or friends. Chapters on surgical research and education address innovation, self-regulation in practice and research, and the prevention of unwarranted bias. Two chapters focus on the multidisciplinary nature of surgery, including the relationships between surgery and other medical specialties and the obligations of the surgeon to other members of the surgical team. The economic dimensions of surgery, especially within managed care, are addressed in chapters on the surgeons financial relationships with patients, conflicts of interest, and relationships with payers and institutions. The authors do not engage in abstract discussions of ethical theory; instead, their discussions are always directly relevant to the everyday concerns of practicing surgeons. This well-integrated volume is intended for practicing surgeons, medical educators, surgical residents, bioethicists, and medical students.