Leveraging Ai Technologies For Preventing And Detecting Sudden Cardiac Arrest And Death

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Leveraging AI Technologies for Preventing and Detecting Sudden Cardiac Arrest and Death

Author : Pradeep Nijalingappa
Publisher : Medical Information Science Reference
ISBN 13 : 9781799884439
Total Pages : 300 pages
Book Rating : 4.8/5 (844 download)

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Book Synopsis Leveraging AI Technologies for Preventing and Detecting Sudden Cardiac Arrest and Death by : Pradeep Nijalingappa

Download or read book Leveraging AI Technologies for Preventing and Detecting Sudden Cardiac Arrest and Death written by Pradeep Nijalingappa and published by Medical Information Science Reference. This book was released on 2022 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book discusses how AI technologies can assist physicians to make better clinical decisions enabling early detection of subclinical organ dysfunction, through the use of clinically relevant information that can be found in the massive amount of data and, thus, improving quality and efficiency of healthcare delivery"--

Leveraging AI Technologies for Preventing and Detecting Sudden Cardiac Arrest and Death

Author : Nijalingappa, Pradeep
Publisher : IGI Global
ISBN 13 : 1799884457
Total Pages : 282 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Leveraging AI Technologies for Preventing and Detecting Sudden Cardiac Arrest and Death by : Nijalingappa, Pradeep

Download or read book Leveraging AI Technologies for Preventing and Detecting Sudden Cardiac Arrest and Death written by Nijalingappa, Pradeep and published by IGI Global. This book was released on 2022-06-24 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning approaches have great potential in increasing the accuracy of cardiovascular risk prediction and avoiding unnecessary treatment. The application of machine learning techniques may improve heart failure outcomes and management, including cost savings by improving existing diagnostic and treatment support systems. Additionally, artificial intelligence technologies can assist physicians in making better clinical decisions, enabling early detection of subclinical organ dysfunction, and improving the quality and efficiency of healthcare delivery. Further study on these innovative technologies is required in order to appropriately utilize the technology in healthcare. Leveraging AI Technologies for Preventing and Detecting Sudden Cardiac Arrest and Death provides insight into the causes and symptoms of sudden cardiac death and sudden cardiac arrest while evaluating whether artificial intelligence technologies can improve the accuracy of cardiovascular risk prediction. Furthermore, it consolidates the current open issues and future technology-driven solutions for sudden cardiac death and sudden cardiac arrest prevention and detection. Covering a number of crucial topics such as wearable sensors and smart technologies, this reference work is ideal for diagnosticians, IT specialists, data scientists, healthcare workers, researchers, academicians, scholars, practitioners, instructors, and students.

Handbook of Research on Instructional Technologies in Health Education and Allied Disciplines

Author : Garcia, Manuel B.
Publisher : IGI Global
ISBN 13 : 1668471655
Total Pages : 470 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Handbook of Research on Instructional Technologies in Health Education and Allied Disciplines by : Garcia, Manuel B.

Download or read book Handbook of Research on Instructional Technologies in Health Education and Allied Disciplines written by Garcia, Manuel B. and published by IGI Global. This book was released on 2023-03-13 with total page 470 pages. Available in PDF, EPUB and Kindle. Book excerpt: Instructional technologies used to be optional and supplemental pedagogical tools until the global health crisis of 2020 compelled education systems to rely on digital devices and services to guarantee academic continuity. Suddenly, the contemporary principles and practices utilized in delivering health education curricula were insufficient and ineffective. Acknowledging the vital role of technology in shaping the future of education, there is now a greater demand to foster innovative interventions and continuous improvement in strategies, methodologies, and systems to empower learners, educators, and leaders in the digital age. This paradigm shift requires a fundamental transformation in the way we approach teaching and learning, and a willingness to embrace new approaches and tools that can enhance the quality of education and support student success. The Handbook of Research on Instructional Technologies in Health Education and Allied Disciplines provides comprehensive coverage of innovative methods and strategies to produce the next generation of health professionals. The book lays the groundwork for implementable teaching and learning models that facilitate knowledge acquisition, enhance perceptual variation, improve skill coordination, and develop a scientific and technological mindset. Each chapter provides an in-depth examination of instructional technologies contextualized in various medical and health domains, including nursing, physiotherapy, radiology, neurophysiology, physical health, dentistry, clinical medicine, and more. This reference work is a must-read for all stakeholders in health education and related fields, including educators, students, researchers, administrators, and healthcare professionals.

AI-Enabled Multiple-Criteria Decision-Making Approaches for Healthcare Management

Author : Kautish, Sandeep
Publisher : IGI Global
ISBN 13 : 1668444070
Total Pages : 294 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis AI-Enabled Multiple-Criteria Decision-Making Approaches for Healthcare Management by : Kautish, Sandeep

Download or read book AI-Enabled Multiple-Criteria Decision-Making Approaches for Healthcare Management written by Kautish, Sandeep and published by IGI Global. This book was released on 2022-06-30 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multiple-criteria decision making, including multiple rule-based decision making, multiple-objective decision making, and multiple-attribute decision making, is used by clinical decision makers to analyze healthcare issues from various perspectives. In practical healthcare cases, semi-structured and unstructured decision-making issues involve multiple criteria that may conflict with each other. Thus, the use of multiple-criteria decision making is a promising source of practical solutions for such problems. AI-Enabled Multiple-Criteria Decision-Making Approaches for Healthcare Management investigates the contributions of practical multiple-criteria decision analysis applications and cases for healthcare management. The book also considers the best practices and tactics for utilizing multiple-criteria decision making to ensure the technology is utilized appropriately. Covering key topics such as fuzzy data, augmented reality, blockchain, and data transmission, this reference work is ideal for computer scientists, healthcare professionals, nurses, policymakers, researchers, scholars, academicians, practitioners, educators, and students.

Using Multimedia Systems, Tools, and Technologies for Smart Healthcare Services

Author : Tyagi, Amit Kumar
Publisher : IGI Global
ISBN 13 : 1668457423
Total Pages : 378 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Using Multimedia Systems, Tools, and Technologies for Smart Healthcare Services by : Tyagi, Amit Kumar

Download or read book Using Multimedia Systems, Tools, and Technologies for Smart Healthcare Services written by Tyagi, Amit Kumar and published by IGI Global. This book was released on 2022-10-14 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the advancement of sensorial media, objects, and technologies, multimedia can play a significant role in smart healthcare by offering better insight of heterogeneous healthcare multimedia content to support affordable and quality patient care. While researchers and the scientific community have been making advances in the study of multimedia tools and healthcare services individually, very little attention has been given to developing cost effective and affordable smart healthcare services. Multimedia-based smart healthcare has the potential to revolutionize many aspects of our society; however, many technical challenges must be addressed before this potential can be realized. Using Multimedia Systems, Tools, and Technologies for Smart Healthcare Services includes high-quality research on the recent advances in various aspects of intelligent interactive multimedia technologies in healthcare services and, more specifically, in the state-of-the-art approaches, methodologies, and systems in the design, development, deployment, and innovative use of multimedia systems, tools, and technologies for providing insights into smart healthcare service demands. Covering topics such as genetic algorithms, automatic classification of diseases, and structural equation modeling, this premier reference source is an essential resource for hospital administrators, medical professionals, health IT specialists, hospital technicians, students and faculty of higher education, researchers, and academicians.

Advancement, Opportunities, and Practices in Telehealth Technology

Author : Kumar, S.N.
Publisher : IGI Global
ISBN 13 : 1668452324
Total Pages : 371 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Advancement, Opportunities, and Practices in Telehealth Technology by : Kumar, S.N.

Download or read book Advancement, Opportunities, and Practices in Telehealth Technology written by Kumar, S.N. and published by IGI Global. This book was released on 2022-05-27 with total page 371 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent advancements in medical technology, such as telehealth services, have influenced the healthcare sector tremendously. While telehealth technology and its application are not new, it has not been widely utilized despite the numerous benefits and opportunities it provides. However, recent policy changes have lowered obstacles to telehealth access and pushed the use of telemedicine to deliver acute, chronic, primary, and specialist care. In order to successfully integrate this technology in all areas of healthcare, further study is required to fully understand the best practices and challenges of adoption. Advancement, Opportunities, and Practices in Telehealth Technology discusses advances in the digital health technology and telemedicine domains as well as key challenges, solutions, and opportunities regarding their use in healthcare. The book also introduces critical communication protocols, interconnections, system designs, and developments that are extensively used in the present-day telehealth process. Covering a wide range of topics such as digital twins, big data analytics, and robotics, this reference work is an ideal resource for engineers, industry professionals, hospital administration, policymakers, researchers, scholars, academicians, practitioners, instructors, and students.

Machine Learning and AI Techniques in Interactive Medical Image Analysis

Author : Panigrahi, Lipismita
Publisher : IGI Global
ISBN 13 : 1668446731
Total Pages : 241 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Machine Learning and AI Techniques in Interactive Medical Image Analysis by : Panigrahi, Lipismita

Download or read book Machine Learning and AI Techniques in Interactive Medical Image Analysis written by Panigrahi, Lipismita and published by IGI Global. This book was released on 2022-09-16 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: The healthcare industry is predominantly moving towards affordable, accessible, and quality health care. All organizations are striving to build communication compatibility among the wide range of devices that have operated independently. Recent developments in electronic devices have boosted the research in the medical imaging field. It incorporates several medical imaging techniques and achieves an important goal for health improvement all over the world. Despite the significant advances in high-resolution medical instruments, physicians cannot always obtain the full amount of information directly from the equipment outputs, and a large amount of data cannot be easily exploited without a computer. Machine Learning and AI Techniques in Interactive Medical Image Analysis discusses how clinical efficiency can be improved by investigating the different types of intelligent techniques and systems to get more reliable and accurate diagnostic conclusions. This book further introduces segmentation techniques to locate suspicious areas in medical images and increase the segmentation accuracy. Covering topics such as computer-aided detection, intelligent techniques, and machine learning, this premier reference source is a dynamic resource for IT specialists, computer scientists, diagnosticians, imaging specialists, medical professionals, hospital administrators, medical students, medical technicians, librarians, researchers, and academicians.

The Internet of Medical Things (IoMT) and Telemedicine Frameworks and Applications

Author : Pandey, Rajiv
Publisher : IGI Global
ISBN 13 : 1668435349
Total Pages : 358 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis The Internet of Medical Things (IoMT) and Telemedicine Frameworks and Applications by : Pandey, Rajiv

Download or read book The Internet of Medical Things (IoMT) and Telemedicine Frameworks and Applications written by Pandey, Rajiv and published by IGI Global. This book was released on 2022-09-23 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: The internet of medical things provides significant advantages for the well-being of society by increasing the quality of life and reducing medical expenses. An important step towards a smart healthcare system is to utilize the potential of existing technologies in order to deliver the best services to users and improve their circumstances. With the help of internet of medical things technologies, self-care and early diagnosis are influential services in strengthening the healthcare ecosystem, especially those which utilize remote monitoring systems. The Internet of Medical Things (IoMT) and Telemedicine Frameworks and Applications focuses on the role of artificial intelligence, the internet of medical things, and telemedicine as well as the advantages and challenges that can occur from the integration of these technologies. The book also evolves methodologies to develop frameworks for the integration of the internet of medical things and telemedicine. Covering topics such as remote healthcare, medical imaging, and data science, this reference work is ideal for researchers, academicians, scholars, practitioners, instructors, and students.

Diverse Perspectives and State-of-the-Art Approaches to the Utilization of Data-Driven Clinical Decision Support Systems

Author : Connolly, Thomas M.
Publisher : IGI Global
ISBN 13 : 1668450941
Total Pages : 406 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Diverse Perspectives and State-of-the-Art Approaches to the Utilization of Data-Driven Clinical Decision Support Systems by : Connolly, Thomas M.

Download or read book Diverse Perspectives and State-of-the-Art Approaches to the Utilization of Data-Driven Clinical Decision Support Systems written by Connolly, Thomas M. and published by IGI Global. This book was released on 2022-11-11 with total page 406 pages. Available in PDF, EPUB and Kindle. Book excerpt: The medical domain is home to many critical challenges that stand to be overcome with the use of data-driven clinical decision support systems (CDSS), and there is a growing set of examples of automated diagnosis, prognosis, drug design, and testing. However, the current state of AI in medicine has been summarized as “high on promise and relatively low on data and proof.” If such problems can be addressed, a data-driven approach will be very important to the future of CDSSs as it simplifies the knowledge acquisition and maintenance process, a process that is time-consuming and requires considerable human effort. Diverse Perspectives and State-of-the-Art Approaches to the Utilization of Data-Driven Clinical Decision Support Systems critically reflects on the challenges that data-driven CDSSs must address to become mainstream healthcare systems rather than a small set of exemplars of what might be possible. It further identifies evidence-based, successful data-driven CDSSs. Covering topics such as automated planning, diagnostic systems, and explainable artificial intelligence, this premier reference source is an excellent resource for medical professionals, healthcare administrators, IT managers, pharmacists, students and faculty of higher education, librarians, researchers, and academicians.

Exploring the Convergence of Computer and Medical Science Through Cloud Healthcare

Author : Queirós, Ricardo
Publisher : IGI Global
ISBN 13 : 1668452618
Total Pages : 306 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Exploring the Convergence of Computer and Medical Science Through Cloud Healthcare by : Queirós, Ricardo

Download or read book Exploring the Convergence of Computer and Medical Science Through Cloud Healthcare written by Queirós, Ricardo and published by IGI Global. This book was released on 2022-09-09 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital technologies are currently dramatically changing healthcare. Cloud healthcare is an increasingly trending topic in the field, converging skills from computer and health science. This new strategy fosters the management of health data at a large scale and makes it easier for healthcare organizations to improve patient experience and health team productivity while helping the support, security, compliance, and interoperability of health data. Exploring the Convergence of Computer and Medical Science Through Cloud Healthcare is a reference in the ongoing digital transformation of the healthcare sector. It presents a comprehensive state-of-the-art approach to cloud internet of things health technologies and practices. It provides insights over strategies, methodologies, techniques, tools, and services based on emerging cloud digital health solutions to overcome digital health challenges. Covering topics such as auxiliary systems, the internet of medical things, and natural language processing, this premier reference source is an essential resource for medical professionals, hospital administrators, medical students, medical professors, libraries, researchers, and academicians.

Smart Healthcare for Sustainable Urban Development

Author : Madaan, Rosy
Publisher : IGI Global
ISBN 13 : 1668425092
Total Pages : 287 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Smart Healthcare for Sustainable Urban Development by : Madaan, Rosy

Download or read book Smart Healthcare for Sustainable Urban Development written by Madaan, Rosy and published by IGI Global. This book was released on 2022-06-24 with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the development of information technology, the concept of smart healthcare has been evolving gradually. A new generation of information technologies, such as the internet of things, cloud computing, big data, and artificial intelligence, have transformed the old medical system and improved the efficiency, convenience, and personalization of healthcare. These changes are necessary to keep up with the requirements of individual people and the improvements in the efficiency of medical care, which largely enhances the experience of medical and health services. Smart Healthcare for Sustainable Urban Development discusses current challenges of digital healthcare adoption as well as how the internet of things and big data technologies can help promote digital healthcare adoption and improve healthcare efficiency. The book also considers how information technologies can support the adoption of smart health for overall improved healthcare delivery and access. Covering topics such as artificial intelligence and smart hospitals, this reference work is ideal for researchers, scholars, practitioners, academicians, industry professionals, instructors, and students

Artificial Intelligence in Healthcare

Author : Adam Bohr
Publisher : Academic Press
ISBN 13 : 0128184396
Total Pages : 385 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Artificial Intelligence in Healthcare by : Adam Bohr

Download or read book Artificial Intelligence in Healthcare written by Adam Bohr and published by Academic Press. This book was released on 2020-06-21 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 in Medical Imaging

Author : Erik R. Ranschaert
Publisher : Springer
ISBN 13 : 3319948784
Total Pages : 373 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Artificial Intelligence in Medical Imaging by : Erik R. Ranschaert

Download or read book Artificial Intelligence in Medical Imaging written by Erik R. Ranschaert and published by Springer. This book was released on 2019-01-29 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Artificial Intelligence in Medicine

Author : David Riaño
Publisher : Springer
ISBN 13 : 303021642X
Total Pages : 431 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Artificial Intelligence in Medicine by : David Riaño

Download or read book Artificial Intelligence in Medicine written by David Riaño and published by Springer. This book was released on 2019-06-19 with total page 431 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Machine Learning and AI for Healthcare

Author : Arjun Panesar
Publisher : Apress
ISBN 13 : 1484237994
Total Pages : 390 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Machine Learning and AI for Healthcare by : Arjun Panesar

Download or read book Machine Learning and AI for Healthcare written by Arjun Panesar and published by Apress. This book was released on 2019-02-04 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Precision Medicine Powered by pHealth and Connected Health

Author : Nicos Maglaveras
Publisher : Springer
ISBN 13 : 9811074194
Total Pages : 269 pages
Book Rating : 4.8/5 (11 download)

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Book Synopsis Precision Medicine Powered by pHealth and Connected Health by : Nicos Maglaveras

Download or read book Precision Medicine Powered by pHealth and Connected Health written by Nicos Maglaveras and published by Springer. This book was released on 2017-11-16 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents the proceedings of the 3rd ICBHI which took place in Thessaloniki on 18-21 November, 2017.The area of biomedical and health informatics is exploding at all scales. The developments in the areas of medical devices, eHealth and personalized health as enabling factors for the evolution of precision medicine are quickly developing and demand the development of new scaling tools, integration frameworks and methodologies.

Strengthening Forensic Science in the United States

Author : National Research Council
Publisher : National Academies Press
ISBN 13 : 0309142393
Total Pages : 348 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Strengthening Forensic Science in the United States by : National Research Council

Download or read book Strengthening Forensic Science in the United States written by National Research Council and published by National Academies Press. This book was released on 2009-07-29 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: Scores of talented and dedicated people serve the forensic science community, performing vitally important work. However, they are often constrained by lack of adequate resources, sound policies, and national support. It is clear that change and advancements, both systematic and scientific, are needed in a number of forensic science disciplines to ensure the reliability of work, establish enforceable standards, and promote best practices with consistent application. Strengthening Forensic Science in the United States: A Path Forward provides a detailed plan for addressing these needs and suggests the creation of a new government entity, the National Institute of Forensic Science, to establish and enforce standards within the forensic science community. The benefits of improving and regulating the forensic science disciplines are clear: assisting law enforcement officials, enhancing homeland security, and reducing the risk of wrongful conviction and exoneration. Strengthening Forensic Science in the United States gives a full account of what is needed to advance the forensic science disciplines, including upgrading of systems and organizational structures, better training, widespread adoption of uniform and enforceable best practices, and mandatory certification and accreditation programs. While this book provides an essential call-to-action for congress and policy makers, it also serves as a vital tool for law enforcement agencies, criminal prosecutors and attorneys, and forensic science educators.