Artificial Intelligence in Practice

Presenting 50 case studies of actual situations, this book demonstrates practical applications to issues faced by businesses around the globe.

Author: Bernard Marr

Publisher: John Wiley & Sons

ISBN: 9781119548218

Category: Business & Economics

Page: 352

View: 189

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Cyber-solutions to real-world business problems Artificial Intelligence in Practice is a fascinating look into how companies use AI and machine learning to solve problems. Presenting 50 case studies of actual situations, this book demonstrates practical applications to issues faced by businesses around the globe. The rapidly evolving field of artificial intelligence has expanded beyond research labs and computer science departments and made its way into the mainstream business environment. Artificial intelligence and machine learning are cited as the most important modern business trends to drive success. It is used in areas ranging from banking and finance to social media and marketing. This technology continues to provide innovative solutions to businesses of all sizes, sectors and industries. This engaging and topical book explores a wide range of cases illustrating how businesses use AI to boost performance, drive efficiency, analyse market preferences and many others. Best-selling author and renowned AI expert Bernard Marr reveals how machine learning technology is transforming the way companies conduct business. This detailed examination provides an overview of each company, describes the specific problem and explains how AI facilitates resolution. Each case study provides a comprehensive overview, including some technical details as well as key learning summaries: Understand how specific business problems are addressed by innovative machine learning methods Explore how current artificial intelligence applications improve performance and increase efficiency in various situations Expand your knowledge of recent AI advancements in technology Gain insight on the future of AI and its increasing role in business and industry Artificial Intelligence in Practice: How 50 Successful Companies Used Artificial Intelligence to Solve Problems is an insightful and informative exploration of the transformative power of technology in 21st century commerce.
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ARTIFICIAL INTELLIGENCE IN PRACTICE

Artificial Intelligence in Practice secara taktis dan praktis mengungkap bagaimana AI dan machine learning dapat digunakan untuk mengatasi tantangan bisnis secara umum dan membuka pintu peluang yang sering kali jauh melebihi ekspektasi.

Author: Bernard Marr

Publisher: Elex Media Komputindo

ISBN: 9786230022425

Category: Business & Economics

Page: 372

View: 375

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Artificial Intelligence in Practice secara taktis dan praktis mengungkap bagaimana AI dan machine learning dapat digunakan untuk mengatasi tantangan bisnis secara umum dan membuka pintu peluang yang sering kali jauh melebihi ekspektasi. Buku ini sarat wawasan dan pengetahuan dari raksasa-raksasa AI, termasuk Google, Microsoft, Amazon, Alibaba, dan pemimpin industri yang berpikiran maju lainnya. Menyajikan studi kasus yang menarik, baik dari bisnis tradisional maupun rintisan/startup, serta menjelaskan bagaimana AI diterapkan di dunia bisnis secara nyata. Bernard Marr, penulis buku terlaris dan pakar AI, menawarkan penjelasan terperinci dari 50 perusahaan yang telah berhasil mengintegrasikan AI ke dalam praktik bisnis mereka. Dia memberikan gambaran umum dari setiap perusahaan, menjelaskan masalah spesifik yang ditangani AI, dan menjelaskan bagaimana AI menawarkan solusi yang bisa diterapkan. Setiap studi kasus berisi gambaran umum yang menyeluruh, beberapa detail teknis, serta ringkasan pokok-pokok pembelajaran utama. Artificial Intelligence dan machine learning adalah tren bisnis modern terpenting saat ini yang mampu mendorong kesuksesan hari ini (dan esok). Seperti yang ditunjukkan oleh banyak kasus dalam buku ini, AI dapat digunakan di industri mulai dari perbankan dan keuangan hingga media dan pemasaran. Dengan mengadopsi teknologi AI, bisnis apa pun, dalam skala apa pun, pada sektor atau industri mana pun, akan mampu mendorong solusi inovatif untuk menghadapi berbagai tantangan dan tuntutan.
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Advances in Artificial Intelligence From Theory to Practice

The two-volume set LNCS 10350 and 10351 constitutes the thoroughly refereed proceedings of the 30th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2017, held in Arras, ...

Author: Salem Benferhat

Publisher: Springer

ISBN: 9783319600451

Category: Computers

Page: 470

View: 909

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The two-volume set LNCS 10350 and 10351 constitutes the thoroughly refereed proceedings of the 30th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2017, held in Arras, France, in June 2017. The 70 revised full papers presented together with 45 short papers and 3 invited talks were carefully reviewed and selected from 180 submissions. They are organized in topical sections: constraints, planning, and optimization; data mining and machine learning; sensors, signal processing, and data fusion; recommender systems; decision support systems; knowledge representation and reasoning; navigation, control, and autonome agents; sentiment analysis and social media; games, computer vision; and animation; uncertainty management; graphical models: from theory to applications; anomaly detection; agronomy and artificial intelligence; applications of argumentation; intelligent systems in healthcare and mhealth for health outcomes; and innovative applications of textual analysis based on AI.
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Artificial Intelligence and Legal Analytics

This book describes how text analytics and computational models of legal reasoning will improve legal IR and let computers help humans solve legal problems.

Author: Kevin Ashley

Publisher: Cambridge University Press

ISBN: 9781107171503

Category: Law

Page: 464

View: 688

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The field of artificial intelligence (AI) and the law is on the cusp of a revolution that began with text analytic programs like IBM's Watson and Debater and the open-source information management architectures on which they are based. Today, new legal applications are beginning to appear and this book - designed to explain computational processes to non-programmers - describes how they will change the practice of law, specifically by connecting computational models of legal reasoning directly with legal text, generating arguments for and against particular outcomes, predicting outcomes and explaining these predictions with reasons that legal professionals will be able to evaluate for themselves. These legal applications will support conceptual legal information retrieval and allow cognitive computing, enabling a collaboration between humans and computers in which each does what it can do best. Anyone interested in how AI is changing the practice of law should read this illuminating work.
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Artificial Intelligence in Surgery Understanding the Role of AI in Surgical Practice

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.

Author: Daniel A. Hashimoto

Publisher: McGraw Hill Professional

ISBN: 9781260452747

Category: Medical

Page: 352

View: 667

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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.
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Generatives Deep Learning

David Foster veranschaulicht die Funktionsweise jeder Methode, beginnend mit den Grundlagen des Deep Learning mit Keras, bevor er zu einigen der modernsten Algorithmen auf diesem Gebiet vorstößt.

Author: David Foster

Publisher:

ISBN: OCLC:1151051275

Category:

Page: 310

View: 340

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Generative Modelle haben sich zu einem der spannendsten Themenbereiche der Künstlichen Intelligenz entwickelt: Mit generativem Deep Learning ist es inzwischen möglich, einer Maschine das Malen, Schreiben oder auch das Komponieren von Musik beizubringen - kreative Fähigkeiten, die bisher dem Menschen vorbehalten waren. Mit diesem praxisnahen Buch können Data Scientists einige der eindrucksvollsten generativen Deep-Learning-Modelle nachbilden wie z.B. Generative Adversarial Networks (GANs), Variational Autoencoder (VAEs), Encoder-Decoder- sowie World-Modelle. David Foster veranschaulicht die Funktionsweise jeder Methode, beginnend mit den Grundlagen des Deep Learning mit Keras, bevor er zu einigen der modernsten Algorithmen auf diesem Gebiet vorstößt. Die zahlreichen praktischen Beispiele und Tipps helfen dem Leser herauszufinden, wie seine Modelle noch effizienter lernen und noch kreativer werden können.
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Artificial Intelligence in Theory and Practice

IFIP 19th World Computer Congress, TC 12: IFIP AI 2006 Stream, August 21-24, 2006, Santiago, Chile Max Bramer. A study on the ability of Support Vector Regression and Neural Networks to Forecast Basic Time Series Patterns Sven F. Crone1 ...

Author: Max Bramer

Publisher: Springer Science & Business Media

ISBN: 9780387346540

Category: Computers

Page: 503

View: 187

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The papers in this volume comprise the refereed proceedings of the conference 'Artificial Intelligence in Theory and Practice' (IFIP AI 2006), which formed part of the 19th World Computer Congress of IFIP, the International Federation for Information Processing (WCC- 2006), in Santiago, Chile in August 2006. The conference is organised by the IFIP Technical Committee on Artificial Intelligence (Technical Committee 12) and its Working Group 12.5 (Artificial Intelligence Applications). All papers were reviewed by at least two members of our Programme Committee. The best papers were selected for the conference and are included in this volume. The international nature of IFIP is amply reflected in the large number of countries represented here. The conference featured invited talks by Rose Dieng, John Atkinson, John Debenham and myself. IFIP AI 2006 also included the Second IFIP Symposium on Professional Practice in Artificial Intelligence, organised by Professor John Debenham, which ran alongside the refereed papers. I should like to thank the conference chair. Professor Debenham for all his efforts in organising the Symposium and the members of our programme committee for reviewing an unexpectedly large number of papers to a very tight deadline. This is the latest in a series of conferences organised by IFIP Technical Committee 12 dedicated to the techniques of Artificial Intelligence and their real-world applications. The wide range and importance of these applications is clearly indicated by the papers in this volume. Further information about TCI 2 can be found on our website http://www.ifiptcl2.org.
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Tech Trends in Practice

In this book, best-selling author, strategic business advisor, and respected futurist Bernard Marr explains the role of technology in providing innovative businesses solutions for companies of varying sizes and across different industries.

Author: Bernard Marr

Publisher: John Wiley & Sons

ISBN: 9781119646198

Category: Business & Economics

Page: 304

View: 630

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Discover how 25 powerful technology trends are transforming 21st century businesses How will the latest technologies transform your business? Future Tech Trends in Practice will give you the knowledge of today’s most important technology trends, and how to take full advantage of them to grow your business. The book presents25 real-world technology trends along with their potential contributions to organisational success. You’ll learn how to integrate existing advancements and plan for those that are on the way. In this book, best-selling author, strategic business advisor, and respected futurist Bernard Marr explains the role of technology in providing innovative businesses solutions for companies of varying sizes and across different industries. He covers wide-ranging trends and provides an overview of how companies are using these new and emerging technologies in practice. You, too, can prepare your company for the potential and power of trending technology by examining these and other areas of innovation described in Future Tech Trends in Practice: Artificial intelligence, including machine and deep learning The Internet of Things and the rise of smart devices Self-driving cars and autonomous drones 3D printing and additive manufacturing Blockchain technology Genomics and gene editing Augmented, virtual and mixed reality When you understand the technology trends that are driving success, now and into the future, you’ll be better positioned to address and solve problems within your organisation.
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Machine Learning And Artificial Intelligence In Practice

This book gives a comprehensive guide on the following: Correlation Between Machine Learning and Artificial Learning The Era of Evolution Machine Learning and Artificial Intelligence in Practice Self-Driving Cars Robots and How they will ...

Author: Yoshie Lorts

Publisher:

ISBN: 9798724082310

Category:

Page: 76

View: 954

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With the development of technology and gadgets, Machine Learning and Artificial Intelligence are becoming more important with the scientific domain in particular and humans in general. Via this book, you may comprehend the way that ML and AI are used in our living and their relationship with people. This book gives a comprehensive guide on the following: Correlation Between Machine Learning and Artificial Learning The Era of Evolution Machine Learning and Artificial Intelligence in Practice Self-Driving Cars Robots and How they will Change Our Lives Machine Learning, Artificial Intelligence, and IoT Ethics of Artificial Intelligence Artificial Intelligence and Privacy Is Artificial Intelligence Dangerous? Will Humans and Artificial Intelligence Live Together in Future? ... AND MORE!!!
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Artificial Intelligence and Architecture

Artificial intelligence (AI) has found its way into countless industries. In architecture, AI is still in its infancy, but recent years have seen some promising developments. This book is an easy-to-understand introduction to the topic.

Author: Stanislas Chaillou

Publisher: Birkhaüser

ISBN: 3035624003

Category: Architecture

Page: 208

View: 890

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Artificial intelligence (AI) has found its way into countless industries. In architecture, AI is still in its infancy, but recent years have seen some promising developments. This book is an easy-to-understand introduction to the topic. It provides an overview of the history of AI and its earliest applications in architecture. In the second part, the author presents specific examples of the creative use of AI in architectural practice. Finally, in a series of essay experts from Harvard to Bauhaus Universities offer original and diverse perspectives on the potential of AI. As an introduction, the book presents a panorama of new technological possibilities, discussing the promise they hold for architecture.
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Artificial Intelligence in Theory and Practice II

The papers in this volume comprise the refereed proceedings of the conference ‘ Artificial Intelligence in Theory and Practice’ (IFIP AI 2008), which formed part of the 20th World Computer Congress of IFIP, the International Federation ...

Author: Max Bramer

Publisher: Springer

ISBN: 9780387096957

Category: Science

Page: 462

View: 304

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The papers in this volume comprise the refereed proceedings of the conference ‘ Artificial Intelligence in Theory and Practice’ (IFIP AI 2008), which formed part of the 20th World Computer Congress of IFIP, the International Federation for Information Processing (WCC-2008), in Milan, Italy in September 2008. The conference is organised by the IFIP Technical Committee on Artificial Intelligence (Technical Committee 12) and its Working Group 12.5 (Artificial Intelligence Applications). All papers were reviewed by at least two members of our Program Committee. Final decisions were made by the Executive Program Committee, which comprised John Debenham (University of Technology, Sydney, Australia), Ilias Maglogiannis (University of Aegean, Samos, Greece), Eunika Mercier-Laurent (KIM, France) and myself. The best papers were selected for the conference, either as long papers (maximum 10 pages) or as short papers (maximum 5 pages) and are included in this volume. The international nature of IFIP is amply reflected in the large number of countries represented here. The conference also featured invited talks by Prof. Nikola Kasabov (Auckland University of Technology, New Zealand) and Prof. Lorenza Saitta (University of Piemonte Orientale, Italy). I should like to thank the conference chair, John Debenham for all his efforts and the members of our program committee for reviewing papers to a very tight deadline.
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Artificial Intelligence in Medical Imaging

Choice Recommended Title, January 2021 This book, written by authors with more than a decade of experience in the design and development of artificial intelligence (AI) systems in medical imaging, will guide readers in the understanding of ...

Author: Lia Morra

Publisher: CRC Press

ISBN: 9781000753080

Category: Science

Page: 152

View: 854

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This book, written by authors with more than a decade of experience in the design and development of artificial intelligence (AI) systems in medical imaging, will guide readers in the understanding of one of the most exciting fields today. After an introductory description of classical machine learning techniques, the fundamentals of deep learning are explained in a simple yet comprehensive manner. The book then proceeds with a historical perspective of how medical AI developed in time, detailing which applications triumphed and which failed, from the era of computer aided detection systems on to the current cutting-edge applications in deep learning today, which are starting to exhibit on-par performance with clinical experts. In the last section, the book offers a view on the complexity of the validation of artificial intelligence applications for commercial use, describing the recently introduced concept of software as a medical device, as well as good practices and relevant considerations for training and testing machine learning systems for medical use. Open problematics on the validation for public use of systems which by nature continuously evolve through new data is also explored. The book will be of interest to graduate students in medical physics, biomedical engineering and computer science, in addition to researchers and medical professionals operating in the medical imaging domain, who wish to better understand these technologies and the future of the field. Features: An accessible yet detailed overview of the field Explores a hot and growing topic Provides an interdisciplinary perspective
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Artificial Intelligence in Theory and Practice III

The papers in this volume comprise the refereed proceedings of the conference Arti- cial Intelligence in Theory and Practice (IFIP AI 2010), which formed part of the 21st World Computer Congress of IFIP, the International Federation for ...

Author: Max Bramer

Publisher: Springer

ISBN: 9783642152863

Category: Computers

Page: 252

View: 377

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The papers in this volume comprise the refereed proceedings of the conference Arti- cial Intelligence in Theory and Practice (IFIP AI 2010), which formed part of the 21st World Computer Congress of IFIP, the International Federation for Information Pr- essing (WCC-2010), in Brisbane, Australia in September 2010. The conference was organized by the IFIP Technical Committee on Artificial Int- ligence (Technical Committee 12) and its Working Group 12.5 (Artificial Intelligence Applications). All papers were reviewed by at least two members of our Program Committee. - nal decisions were made by the Executive Program Committee, which comprised John Debenham (University of Technology, Sydney, Australia), Ilias Maglogiannis (University of Central Greece, Lamia, Greece), Eunika Mercier-Laurent (KIM, France) and myself. The best papers were selected for the conference, either as long papers (maximum 10 pages) or as short papers (maximum 5 pages) and are included in this volume. The international nature of IFIP is amply reflected in the large number of countries represented here. I should like to thank the Conference Chair, Tharam Dillon, for all his efforts and the members of our Program Committee for reviewing papers under a very tight de- line.
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Artificial Intelligence

This book provides a detailed understanding of the broad issues in artificial intelligence and a useful survey of current AI technology.

Author: Thomas L. Dean

Publisher: Addison-Wesley

ISBN: UOM:39015032086863

Category: Computers

Page: 563

View: 387

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This book provides a detailed understanding of the broad issues in artificial intelligence and a useful survey of current AI technology. The author delivers broad coverage of innovative representational techniques, including neural networks, image processing, and probabilistic reasoning, alongside the traditional methods of symbolic reasoning. AI algorithms are described in detailed prose in the text and fully implemented in LISP at the ends of chapters. A stand-alone LISP chapter makes an excellent reference and refresher. Each chapter includes a detailed description of an AI application.
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Communicating Artificial Intelligence AI

The chapters in this book were originally published as a special issue of Communication Studies.

Author: Seungahn Nah

Publisher: Routledge

ISBN: 9781000326307

Category: Language Arts & Disciplines

Page: 124

View: 351

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Despite increasing scholarly attention to artificial intelligence (AI), studies at the intersection of AI and communication remain ripe for exploration, including investigations of the social, political, cultural, and ethical aspects of machine intelligence, interactions among agents, and social artifacts. This book tackles these unexplored research areas with special emphasis on conditions, components, and consequences of cognitive, attitudinal, affective, and behavioural dimensions toward communication and AI. In doing so, this book epitomizes communication, journalism and media scholarship on AI and its social, political, cultural, and ethical perspectives. Topics vary widely from interactions between humans and robots through news representation of AI and AI-based news credibility to privacy and value toward AI in the public sphere. Contributors from such countries as Brazil, Netherland, South Korea, Spain, and United States discuss important issues and challenges in AI and communication studies. The collection of chapters in the book considers implications for not only theoretical and methodological approaches, but policymakers and practitioners alike. The chapters in this book were originally published as a special issue of Communication Studies.
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Artificial Intelligence for Learning

With real-world examples from companies who have effectively implemented AI and seen the benefits as well as case studies from organizations including Netflix, British Airways and the NHS, this book is essential reading for all L&D ...

Author: Donald Clark

Publisher: Kogan Page Publishers

ISBN: 9781789660821

Category: Business & Economics

Page:

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Artificial intelligence is creating huge opportunities for workplace learning and employee development. However, it can be difficult for L&D professionals to assess what difference AI can make in their organization and where it is best implemented. Artificial Intelligence for Learning is the practical guide L&D practitioners need to understand what AI is and how to use it to improve all aspects of learning in the workplace. It includes specific guidance on how AI can provide content curation and personalization to improve learner engagement, how it can be implemented to improve the efficiency of evaluation, assessment and reporting and how chatbots can provide learner support to a global workforce. Artificial Intelligence for Learning debunks the myths and cuts through the hype around AI allowing L&D practitioners to feel confident in their ability to critically assess where artificial intelligence can make a measurable difference and where it is worth investing in. There is also critical discussion of how AI is an aid to learning and development, not a replacement as well as how it can be used to boost the effectiveness of workplace learning, reduce drop off rates in online learning and improve ROI. With real-world examples from companies who have effectively implemented AI and seen the benefits as well as case studies from organizations including Netflix, British Airways and the NHS, this book is essential reading for all L&D practitioners needing to understand AI and what it means in practice.
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The Routledge Companion to Artificial Intelligence in Architecture

This book is organized in four parts: theoretical foundations, tools and techniques, AI in research, and AI in architectural practice. It provides a framework for the issues surrounding AI and offers a variety of perspectives.

Author: Imdat As

Publisher: Routledge

ISBN: 9781000372373

Category: Architecture

Page: 486

View: 536

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Providing the most comprehensive source available, this book surveys the state of the art in artificial intelligence (AI) as it relates to architecture. This book is organized in four parts: theoretical foundations, tools and techniques, AI in research, and AI in architectural practice. It provides a framework for the issues surrounding AI and offers a variety of perspectives. It contains 24 consistently illustrated contributions examining seminal work on AI from around the world, including the United States, Europe, and Asia. It articulates current theoretical and practical methods, offers critical views on tools and techniques, and suggests future directions for meaningful uses of AI technology. Architects and educators who are concerned with the advent of AI and its ramifications for the design industry will find this book an essential reference.
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Professional Practice in Artificial Intelligence

IFIP 19th World Computer Congress, TC-12: Professional Practice Stream, August 21-24, 2006, Santiago, Chile John Debenham ... Federation for Information Processing, Volume 218, Professional Practice in Artificial Intelligence, eds.

Author: John Debenham

Publisher: Springer Science & Business Media

ISBN: 9780387346557

Category: Computers

Page: 352

View: 479

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The Second Symposium on Professional Practice in AI 2006 is a conference within the IFIP World Computer Congress 2006, Santiago, Chile. The Symposium is organised by the IFIP Technical Committee on Artificial Intelligence (Technical Committee 12) and its Working Group 12.5 (Artificial Intelligence Applications). The First Symposium in this series was one of the conferences in the IFIP World Computer Congi-ess 2004, Toulouse France. The conference featured invited talks by Rose Dieng, John Atkinson, John Debenham and Max Bramer. The Symposium was a component of the IFIP AI 2006 conference, organised by Professor Max Bramer. I should like to thank the Symposium General Chair, Professor Bramer for his considerable assistance in making the Symposium happen within a very tight deadline. These proceedings are the result of a considerable amount of hard work. Beginning with the preparation of the submitted papers, the papers were each reviewed by at least two members of the international Program Committee. The authors of accepted papers then revised their manuscripts to produce their final copy. The hard work of the authors, the referees and the Program Committee is gratefully aclaiowledged. The IFIP AI 2006 conference and the Symposium are the latest in a series of conferences organised by IFIP Technical Committee 12 dedicated to the techniques of Aitificial Intelligence and their real-world applications. Further infoirmation about TC12 can be found on our website http;//www.ifiptcI2.org.
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Artificial Intelligence in Behavioral and Mental Health Care

This book will be of use to mental health practitioners interested in learning about, or incorporating AI advances into their practice and for researchers interested in a comprehensive review of these advances in one source.

Author: David D. Luxton

Publisher: Academic Press

ISBN: 9780128007921

Category: Psychology

Page: 308

View: 840

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Artificial Intelligence in Behavioral and Mental Health Care summarizes recent advances in artificial intelligence as it applies to mental health clinical practice. Each chapter provides a technical description of the advance, review of application in clinical practice, and empirical data on clinical efficacy. In addition, each chapter includes a discussion of practical issues in clinical settings, ethical considerations, and limitations of use. The book encompasses AI based advances in decision-making, in assessment and treatment, in providing education to clients, robot assisted task completion, and the use of AI for research and data gathering. This book will be of use to mental health practitioners interested in learning about, or incorporating AI advances into their practice and for researchers interested in a comprehensive review of these advances in one source. Summarizes AI advances for use in mental health practice Includes advances in AI based decision-making and consultation Describes AI applications for assessment and treatment Details AI advances in robots for clinical settings Provides empirical data on clinical efficacy Explores practical issues of use in clinical settings
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