Medical Content Based Retrieval for Clinical Decision Support

Medical Content Based Retrieval for Clinical Decision Support
Author: Hayit Greenspan,Henning Müller,Tanveer Syeda-Mahmood
Publsiher: Springer
Total Pages: 145
Release: 2013-01-31
ISBN 10: 9783642366772
ISBN 13: 3642366775
Language: EN, FR, DE, ES & NL

Medical Content Based Retrieval for Clinical Decision Support Book Review:

This book constitutes the refereed proceedings of the Third MICCAI Workshop on Medical Content-Based Retrieval for Clinical Decision Support, MCBR-CBS 2012, held in Nice, France, in October 2012. The 10 revised full papers presented together with 2 invited talks were carefully reviewed and selected from 15 submissions. The papers are divided on several topics on image analysis of visual or multimodal medical data (X-ray, MRI, CT, echo videos, time series data), machine learning of disease correlations in visual or multimodal data, algorithms for indexing and retrieval of data from visual or multimodal medical databases, disease model-building and clinical decision support systems based on visual or multimodal analysis, algorithms for medical image retrieval or classification, systems of retrieval or classification using the ImageCLEF collection.

Medical Content Based Retrieval for Clinical Decision Support

Medical Content Based Retrieval for Clinical Decision Support
Author: Henning Mueller,Hayit Greenspan,Tanveer Syeda-Mahmood
Publsiher: Springer
Total Pages: 153
Release: 2012-02-21
ISBN 10: 3642284604
ISBN 13: 9783642284601
Language: EN, FR, DE, ES & NL

Medical Content Based Retrieval for Clinical Decision Support Book Review:

This book constitutes the refereed proceedings of the Second MICCAI Workshop on Medical Content-Based Retrieval for Clinical Decision Support, MCBR-CBS 2011, held in Toronto, Canada, in September 2011. The 11 revised full papers presented together with 2 invited talks were carefully reviewed and selected from 17 submissions. The papers are divided on several topics on medical image retrieval with textual approaches, visual word based approaches, applications and multidimensional retrieval.

Medical Content Based Retrieval for Clinical Decision Support

Medical Content Based Retrieval for Clinical Decision Support
Author: Henning Müller,Tanveer Syeda-Mahmood,James Duncan,Fei Wang,Jayashree Kalpathy-Cramer
Publsiher: Springer
Total Pages: 121
Release: 2010-02-04
ISBN 10: 3642117694
ISBN 13: 9783642117695
Language: EN, FR, DE, ES & NL

Medical Content Based Retrieval for Clinical Decision Support Book Review:

This book constitutes the refereed proceedings of the first MICCAI Workshop on Medical Content-Based Retrieval for Clinical Decision Support, MCBR_CBS 2009, held in London, UK, in September 2009. The 10 revised full papers were carefully reviewed and selected from numerous submissions. The papers are divide on several topics on medical image retrieval, clinical decision making and multimodal fusion.

Artificial Intelligence and Integrated Intelligent Information Systems Emerging Technologies and Applications

Artificial Intelligence and Integrated Intelligent Information Systems  Emerging Technologies and Applications
Author: Zha, Xuan
Publsiher: IGI Global
Total Pages: 478
Release: 2006-10-31
ISBN 10: 1599042517
ISBN 13: 9781599042510
Language: EN, FR, DE, ES & NL

Artificial Intelligence and Integrated Intelligent Information Systems Emerging Technologies and Applications Book Review:

Researchers in the evolving fields of artificial intelligence and information systems are constantly presented with new challenges. Artificial Intelligence and Integrated Intelligent Information Systems: Emerging Technologies and Applications provides both researchers and professionals with the latest knowledge applied to customized logic systems, agent-based approaches to modeling, and human-based models. Artificial Intelligence and Integrated Intelligent Information Systems: Emerging Technologies and Applications presents the recent advances in multi-mobile agent systems, the product development process, fuzzy logic systems, neural networks, and ambient intelligent environments among many other innovations in this exciting field.

Secondary Analysis of Electronic Health Records

Secondary Analysis of Electronic Health Records
Author: MIT Critical Data
Publsiher: Springer
Total Pages: 427
Release: 2016-09-09
ISBN 10: 3319437429
ISBN 13: 9783319437422
Language: EN, FR, DE, ES & NL

Secondary Analysis of Electronic Health Records Book Review:

This book trains the next generation of scientists representing different disciplines to leverage the data generated during routine patient care. It formulates a more complete lexicon of evidence-based recommendations and support shared, ethical decision making by doctors with their patients. Diagnostic and therapeutic technologies continue to evolve rapidly, and both individual practitioners and clinical teams face increasingly complex ethical decisions. Unfortunately, the current state of medical knowledge does not provide the guidance to make the majority of clinical decisions on the basis of evidence. The present research infrastructure is inefficient and frequently produces unreliable results that cannot be replicated. Even randomized controlled trials (RCTs), the traditional gold standards of the research reliability hierarchy, are not without limitations. They can be costly, labor intensive, and slow, and can return results that are seldom generalizable to every patient population. Furthermore, many pertinent but unresolved clinical and medical systems issues do not seem to have attracted the interest of the research enterprise, which has come to focus instead on cellular and molecular investigations and single-agent (e.g., a drug or device) effects. For clinicians, the end result is a bit of a “data desert” when it comes to making decisions. The new research infrastructure proposed in this book will help the medical profession to make ethically sound and well informed decisions for their patients.

Secondary Analysis of Electronic Health Records

Secondary Analysis of Electronic Health Records
Author: MIT Critical Data
Publsiher: Springer
Total Pages: 609
Release: 2016-10-02
ISBN 10: 9783319437408
ISBN 13: 3319437402
Language: EN, FR, DE, ES & NL

Secondary Analysis of Electronic Health Records Book Review:

This book trains the next generation of scientists representing different disciplines to leverage the data generated during routine patient care. It formulates a more complete lexicon of evidence-based recommendations and support shared, ethical decision making by doctors with their patients. Diagnostic and therapeutic technologies continue to evolve rapidly, and both individual practitioners and clinical teams face increasingly complex ethical decisions. Unfortunately, the current state of medical knowledge does not provide the guidance to make the majority of clinical decisions on the basis of evidence. The present research infrastructure is inefficient and frequently produces unreliable results that cannot be replicated. Even randomized controlled trials (RCTs), the traditional gold standards of the research reliability hierarchy, are not without limitations. They can be costly, labor intensive, and slow, and can return results that are seldom generalizable to every patient population. Furthermore, many pertinent but unresolved clinical and medical systems issues do not seem to have attracted the interest of the research enterprise, which has come to focus instead on cellular and molecular investigations and single-agent (e.g., a drug or device) effects. For clinicians, the end result is a bit of a “data desert” when it comes to making decisions. The new research infrastructure proposed in this book will help the medical profession to make ethically sound and well informed decisions for their patients.

National Library of Medicine programs and services 1990

National Library of Medicine programs and services  1990
Author: Anonim
Publsiher: Unknown
Total Pages: 329
Release: 1972
ISBN 10:
ISBN 13: STANFORD:24501755205
Language: EN, FR, DE, ES & NL

National Library of Medicine programs and services 1990 Book Review:

Deep Learning Techniques for Biomedical and Health Informatics

Deep Learning Techniques for Biomedical and Health Informatics
Author: Dr. Basant Agarwal,Valentina E. Balas,Lakhmi C. Jain,Ramesh Chandra Poonia,Manisha Sharma
Publsiher: Academic Press
Total Pages: 367
Release: 2020-01-14
ISBN 10: 0128190620
ISBN 13: 9780128190623
Language: EN, FR, DE, ES & NL

Deep Learning Techniques for Biomedical and Health Informatics Book Review:

Deep Learning Techniques for Biomedical and Health Informatics provides readers with the state-of-the-art in deep learning-based methods for biomedical and health informatics. The book covers not only the best-performing methods, it also presents implementation methods. The book includes all the prerequisite methodologies in each chapter so that new researchers and practitioners will find it very useful. Chapters go from basic methodology to advanced methods, including detailed descriptions of proposed approaches and comprehensive critical discussions on experimental results and how they are applied to Biomedical Engineering, Electronic Health Records, and medical image processing. Examines a wide range of Deep Learning applications for Biomedical Engineering and Health Informatics, including Deep Learning for drug discovery, clinical decision support systems, disease diagnosis, prediction and monitoring Discusses Deep Learning applied to Electronic Health Records (EHR), including health data structures and management, deep patient similarity learning, natural language processing, and how to improve clinical decision-making Provides detailed coverage of Deep Learning for medical image processing, including optimizing medical big data, brain image analysis, brain tumor segmentation in MRI imaging, and the future of biomedical image analysis

Artificial Intelligence in Surgery Understanding the Role of AI in Surgical Practice

Artificial Intelligence in Surgery  Understanding the Role of AI in Surgical Practice
Author: Daniel A. Hashimoto,Guy Rosman,Ozanan R. Meireles
Publsiher: McGraw Hill Professional
Total Pages: 352
Release: 2021-03-08
ISBN 10: 1260452743
ISBN 13: 9781260452747
Language: EN, FR, DE, ES & NL

Artificial Intelligence in Surgery Understanding the Role of AI in Surgical Practice Book Review:

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.

Library Information Science Abstracts

Library   Information Science Abstracts
Author: Anonim
Publsiher: Unknown
Total Pages: 329
Release: 2001
ISBN 10:
ISBN 13: UOM:39015079654797
Language: EN, FR, DE, ES & NL

Library Information Science Abstracts Book Review:

Realizing the Promise of Precision Medicine

Realizing the Promise of Precision Medicine
Author: Paul Cerrato,John Halamka
Publsiher: Academic Press
Total Pages: 218
Release: 2017-08-24
ISBN 10: 0128116366
ISBN 13: 9780128116364
Language: EN, FR, DE, ES & NL

Realizing the Promise of Precision Medicine Book Review:

Realizing the Promise of Precision Medicine: The Role of Patient Data, Mobile Technology, and Consumer Engagement explains the potential of personalized medicine and the value of those approaches in making that potential a reality. The book helps transform one-size-fits-all healthcare into a system that focuses on individual needs and the unique needs of each family member, discussing topics such as U.S. sponsored precision medicine initiative, genomics, the role of electronic health records and mobile medicine, patient engagement and empowerment, health information exchange and patient data protection. In addition, the book discusses the barriers and limitations of precision medicine and how to overcome them. Readers will find valuable insights into how big data, patient engagement, mobile technology, and genomics help individualize medical care and offer a pathway to help detect many undiscovered causes of diseases. Provides drawings and flow charts to help readers visualize the breadth and depth of precision medicine Includes sidebars with more details on specific topics for a complementary, deeper understanding of the main text Uses case studies to turn abstract concepts into flesh and blood examples of how personalized medicine benefits patients

Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support

Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support
Author: M. Jorge Cardoso,Tal Arbel,Gustavo Carneiro,Tanveer Syeda-Mahmood,João Manuel R.S. Tavares,Mehdi Moradi,Andrew Bradley,Hayit Greenspan,João Paulo Papa,Anant Madabhushi,Jacinto C. Nascimento,Jaime S. Cardoso,Vasileios Belagiannis,Zhi Lu
Publsiher: Springer
Total Pages: 385
Release: 2017-09-07
ISBN 10: 3319675583
ISBN 13: 9783319675589
Language: EN, FR, DE, ES & NL

Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support Book Review:

This book constitutes the refereed joint proceedings of the Third International Workshop on Deep Learning in Medical Image Analysis, DLMIA 2017, and the 6th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2017, held in conjunction with the 20th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2017, in Québec City, QC, Canada, in September 2017. The 38 full papers presented at DLMIA 2017 and the 5 full papers presented at ML-CDS 2017 were carefully reviewed and selected. The DLMIA papers focus on the design and use of deep learning methods in medical imaging. The ML-CDS papers discuss new techniques of multimodal mining/retrieval and their use in clinical decision support.

Artificial Intelligence in Medical Imaging

Artificial Intelligence in Medical Imaging
Author: Erik R. Ranschaert,Sergey Morozov,Paul R. Algra
Publsiher: Springer
Total Pages: 373
Release: 2019-01-29
ISBN 10: 3319948784
ISBN 13: 9783319948782
Language: EN, FR, DE, ES & NL

Artificial Intelligence in Medical Imaging Book Review:

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.

Index to Theses with Abstracts Accepted for Higher Degrees by the Universities of Great Britain and Ireland and the Council for National Academic Awards

Index to Theses with Abstracts Accepted for Higher Degrees by the Universities of Great Britain and Ireland and the Council for National Academic Awards
Author: Anonim
Publsiher: Unknown
Total Pages: 329
Release: 2009
ISBN 10:
ISBN 13: STANFORD:36105133618582
Language: EN, FR, DE, ES & NL

Index to Theses with Abstracts Accepted for Higher Degrees by the Universities of Great Britain and Ireland and the Council for National Academic Awards Book Review:

Biometric and Intelligent Decision Making Support

Biometric and Intelligent Decision Making Support
Author: Arturas Kaklauskas
Publsiher: Springer
Total Pages: 220
Release: 2014-12-26
ISBN 10: 3319136593
ISBN 13: 9783319136592
Language: EN, FR, DE, ES & NL

Biometric and Intelligent Decision Making Support Book Review:

This book presents different methods for analyzing the body language (movement, position, use of personal space, silences, pauses and tone, the eyes, pupil dilation or constriction, smiles, body temperature and the like) for better understanding people’s needs and actions, including biometric data gathering and reading. Different studies described in this book indicate that sufficiently much data, information and knowledge can be gained by utilizing biometric technologies. This is the first, wide-ranging book that is devoted completely to the area of intelligent decision support systems, biometrics technologies and their integrations. This book is designated for scholars, practitioners and doctoral and master’s degree students in various areas and those who are interested in the latest biometric and intelligent decision making support problems and means for their resolutions, biometric and intelligent decision making support systems and the theory and practice of their integration and the opportunities for the practical use of biometric and intelligent decision making support.

Responsible Artificial Intelligence

Responsible Artificial Intelligence
Author: Virginia Dignum
Publsiher: Springer Nature
Total Pages: 127
Release: 2019-11-04
ISBN 10: 3030303713
ISBN 13: 9783030303716
Language: EN, FR, DE, ES & NL

Responsible Artificial Intelligence Book Review:

In this book, the author examines the ethical implications of Artificial Intelligence systems as they integrate and replace traditional social structures in new sociocognitive-technological environments. She discusses issues related to the integrity of researchers, technologists, and manufacturers as they design, construct, use, and manage artificially intelligent systems; formalisms for reasoning about moral decisions as part of the behavior of artificial autonomous systems such as agents and robots; and design methodologies for social agents based on societal, moral, and legal values. Throughout the book the author discusses related work, conscious of both classical, philosophical treatments of ethical issues and the implications in modern, algorithmic systems, and she combines regular references and footnotes with suggestions for further reading. This short overview is suitable for undergraduate students, in both technical and non-technical courses, and for interested and concerned researchers, practitioners, and citizens.

Bioelectronic Medicine

Bioelectronic Medicine
Author: Valentin A. Pavlov
Publsiher: Perspectives Cshl
Total Pages: 350
Release: 2019
ISBN 10: 9781621823025
ISBN 13: 1621823024
Language: EN, FR, DE, ES & NL

Bioelectronic Medicine Book Review:

"Cold Spring Harbor perspectives in medicine."

Intelligent Decision Support Systems A Journey to Smarter Healthcare

Intelligent Decision Support Systems   A Journey to Smarter Healthcare
Author: Smaranda Belciug,Florin Gorunescu
Publsiher: Springer
Total Pages: 271
Release: 2019-03-20
ISBN 10: 3030143546
ISBN 13: 9783030143541
Language: EN, FR, DE, ES & NL

Intelligent Decision Support Systems A Journey to Smarter Healthcare Book Review:

The goal of this book is to provide, in a friendly and refreshing manner, both theoretical concepts and practical techniques for the important and exciting field of Artificial Intelligence that can be directly applied to real-world healthcare problems. Healthcare – the final frontier. Lately, it seems like Pandora opened the box and evil was released into the world. Fortunately, there was one thing left in the box: hope. In recent decades, hope has been increasingly represented by Intelligent Decision Support Systems. Their continuing mission: to explore strange new diseases, to seek out new treatments and drugs, and to intelligently manage healthcare resources and patients. Hence, this book is designed for all those who wish to learn how to explore, analyze and find new solutions for the most challenging domain of all time: healthcare.

Human and Machine Learning

Human and Machine Learning
Author: Jianlong Zhou,Fang Chen
Publsiher: Springer
Total Pages: 482
Release: 2018-06-07
ISBN 10: 3319904035
ISBN 13: 9783319904030
Language: EN, FR, DE, ES & NL

Human and Machine Learning Book Review:

With an evolutionary advancement of Machine Learning (ML) algorithms, a rapid increase of data volumes and a significant improvement of computation powers, machine learning becomes hot in different applications. However, because of the nature of “black-box” in ML methods, ML still needs to be interpreted to link human and machine learning for transparency and user acceptance of delivered solutions. This edited book addresses such links from the perspectives of visualisation, explanation, trustworthiness and transparency. The book establishes the link between human and machine learning by exploring transparency in machine learning, visual explanation of ML processes, algorithmic explanation of ML models, human cognitive responses in ML-based decision making, human evaluation of machine learning and domain knowledge in transparent ML applications. This is the first book of its kind to systematically understand the current active research activities and outcomes related to human and machine learning. The book will not only inspire researchers to passionately develop new algorithms incorporating human for human-centred ML algorithms, resulting in the overall advancement of ML, but also help ML practitioners proactively use ML outputs for informative and trustworthy decision making. This book is intended for researchers and practitioners involved with machine learning and its applications. The book will especially benefit researchers in areas like artificial intelligence, decision support systems and human-computer interaction.

Brain Injury Medicine 2nd Edition

Brain Injury Medicine  2nd Edition
Author: David B. Arciniegas, MD,M. Ross Bullock, MD, PHD,Douglas I. Katz, MD,Jeffrey S. Kreutzer, PHD, ABPP,Ross D. Zafonte, DO,Nathan D. Zasler, MD
Publsiher: Demos Medical Publishing
Total Pages: 280
Release: 2012-08-27
ISBN 10: 1617050571
ISBN 13: 9781617050572
Language: EN, FR, DE, ES & NL

Brain Injury Medicine 2nd Edition Book Review:

Brain Injury Medicine - which includes free ebook access with every print purchase - is a clear and comprehensive guide to all aspects of the management of traumatic brain injury-from early diagnosis and evaluation through the post-acute period and rehabilitation. An essential reference for physicians and other health care professionals who work with patients with brain injury, the book focuses on assessment and treatment of the wider variety of clinical problems these patients face and addresses many associated concerns such as epidemiology, ethical issues, legal issues, and life-care planning. Written by over 190 acknowledged leaders, the text covers the full spectrum of the practice of brain injury medicine including principles of neural recovery, neuroimaging and neurodiagnostic testing, prognosis and outcome, acute care, rehabilitation, treatment of specific populations, neurologic and other medical problems following injury, cognitive and behavioral problems, post-trauma pain disorders, pharmacologic and alternative treatments, and community reentry and productivity. Brain Injury Medicine, 2nd Edition Features: The acknowledged gold standard reference-brings together knowledge, experience, and evidence-based medicine Comprehensive and current-completely revised, updated, and expanded to include emerging topics and the latest clinical and research advances Multi-disciplinary focus-expert authorship from a wide range of specialties promotes a holistic team approach to a complex, many-faceted condition Covers the entire continuum of care from early diagnosis and assessment through acute management, rehabilitation, associated medical and quality of life issues, and functional outcomes New to the Second Edition: Three new Associate Editors from related disciplines provide added expertise Five new sections: acute rehabilitative care, pediatric TBI, special senses, autonomic and other organ system problems, post-trauma pain disorders 25 new chapters running the gamut from health policy to biomechanics, to military TBI to pediatric issues and more Print + Digital Access: Purchase price includes enhanced e-book containing the complete and fully searchable text plus additional digital-only content