Artificial Intelligence in Medicine: 19th International Conference on Artificial Intelligence in Medicine, Aime 2021, Virtual Event, June 15-18, 2021,, Tucker Allan, Henriques Abreu Pedro, Cardoso Jaime
Автор: Michalowski Martin, Moskovitch Robert Название: Artificial Intelligence in Medicine: 18th International Conference on Artificial Intelligence in Medicine, Aime 2020, Minneapolis, Mn, Usa, August 25- ISBN: 3030591360 ISBN-13(EAN): 9783030591366 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The LNAI 12299 constitutes the papers of the 18th International Conference on Artificial Intelligence in Medicine, AIME 2020, which will be held online in August 2020. The 42 full papers presented together with 1short papers in this volume were carefully reviewed and selected from a total of 103 submissions.
Автор: Fombu Emmanuel Название: Predictive Medicine: Artificial Intelligence and Its Impact on Healthcare Business Strategy ISBN: 1951527046 ISBN-13(EAN): 9781951527044 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 29250.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Predictive Medicine makes artificial intelligence more accessible for healthcare practitioners without shying away from complex topics and controversial subject matter.
Artificial intelligence, machine learning, natural language processing, robotics, big data and other new technologies are ready to revolutionize the way we look at healthcare. But if we want them to achieve their full potential, we'll need leaders who understand these new tools and who have long-term strategies in place to take advantage of them.
This book will help you to become one of those leaders. Predictive Medicine makes artificial intelligence more accessible for healthcare practitioners without shying away from complex topics and controversial subject matter. It's a call-to-action for a new generation of health leaders and a roadmap to help them usher in a brighter future.
Автор: Romero Juan, Martins Tiago, Rodrнguez-Fernбndez Nereida Название: Artificial Intelligence in Music, Sound, Art and Design: 10th International Conference, Evomusart 2021, Held as Part of Evostar 2021, Virtual Event, A ISBN: 3030729133 ISBN-13(EAN): 9783030729134 Издательство: Springer Цена: 83850.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes the refereed proceedings of the 10th European Conference on Artificial Intelligence in Music, Sound, Art and Design, EvoMUSART 2021, held as part of Evo* 2021, as Virtual Event, in April 2021, co-located with the Evo* 2021 events, EvoCOP, EvoApplications, and EuroGP.
Автор: Millington, Ian, Funge, John Название: Artificial Intelligence for Games ISBN: 0123747317 ISBN-13(EAN): 9780123747310 Издательство: Taylor&Francis Рейтинг: Цена: 72470.00 T Наличие на складе: Нет в наличии. Описание: Creating robust artificial intelligence is one of the greatest challenges for game developers, yet the commercial success of a game is often dependent upon the quality of the AI. In this book, Ian Millington brings extensive professional experience to the problem of improving the quality of AI in games. He describes numerous examples from real games and explores the underlying ideas through detailed case studies. He goes further to introduce many techniques little used by developers today. The book's associated web site contains a library of C++ source code and demonstration programs, and a complete commercial source code library of AI algorithms and techniques.<br><br>"Artificial Intelligence for Games - 2nd edition" will be highly useful to academics teaching courses on game AI, in that it includes exercises with each chapter. It will also include new and expanded coverage of the following: AI-oriented gameplay; Behavior driven AI; Casual games (puzzle games). <br><br>* The first comprehensive, professional tutorial and reference to implement true AI in games written by an engineer with extensive industry experience.<br>* Walks through the entire development process from beginning to end.<br>* Includes examples from over 100 real games, 10 in-depth case studies, and web site with sample code.
Автор: Shi Shuo, Ye Liang, Zhang Yu Название: Artificial Intelligence for Communications and Networks: Second Eai International Conference, Aicon 2020, Virtual Event, December 19-20, 2020, Proceed ISBN: 3030690652 ISBN-13(EAN): 9783030690656 Издательство: Springer Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes the post-conference proceedings of the Second EAI International Conference on Artificial Intelligence for Communications and Networks, AICON 2020, held in December 2020. AI in Ubiquitous Mobile Wireless Communications; AI in UAV-assisted wireless communications;
Showcases the latest trends in new virtual/augmented reality healthcare and medical applications and provides an overview of the economic, psychological, educational and organizational impacts of these new applications and how we work, teach, learn and provide care.
With the current advances in technology innovation, the field of medicine and healthcare is rapidly expanding and, as a result, many different areas of human health diagnostics, treatment and care are emerging. Wireless technology is getting faster and 5G mobile technology allows the Internet of Medical Things (IoMT) to greatly improve patient care and more effectively prevent illness from developing.
This book provides an overview and review of the current and anticipated changes in medicine and healthcare due to new technologies and faster communication between users and devices.
The groundbreaking book presents state-of-the-art chapters on many subjects including:
A review of the implications of Virtual Reality (VR) and Augmented Reality (AR) healthcare applications
A review of current augmenting dental care
An overview of typical human-computer interaction (HCI) that can help inform the development of user interface designs and novel ways to evaluate human behavior to responses in VR and other new technologies
A review of telemedicine technologies
Building empathy in young children using augmented reality
AI technologies for mobile health of stroke monitoring & rehabilitation robotics control
Mobile doctor brain AI App
An artificial intelligence mobile cloud computing tool
Development of a robotic teaching aid for disabled children
Training system design of lower limb rehabilitation robot based on virtual reality
Автор: Alex Lui, Anna Farzinder, Mingboo Gong Название: Transforming Healthcare with Big Data and AI ISBN: 1641138971 ISBN-13(EAN): 9781641138970 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 47130.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Healthcare and technology are at a convergence point where significant changes are poised to take place. The vast and complex requirements of medical record keeping, coupled with stringent patient privacy laws, create an incredibly unwieldy maze of health data needs. While the past decade has seen giant leaps in AI, machine learning, wearable technologies, and data mining capacities that have enabled quantities of data to be accumulated, processed, and shared around the globe. Transforming Healthcare with Big Data and AI examines the crossroads of these two fields and looks to the future of leveraging advanced technologies and developing data ecosystems to the healthcare field.
This book is the product of the Transforming Healthcare with Data conference, held at the University of Southern California. Many speakers and digital healthcare industry leaders contributed multidisciplinary expertise to chapters in this work. Authors’ backgrounds range from data scientists, healthcare experts, university professors, and digital healthcare entrepreneurs. If you have an understanding of data technologies and are interested in the future of Big Data and A.I. in healthcare, this book will provide a wealth of insights into the new landscape of healthcare.
Автор: Anthony C Chang Название: Intelligence-Based Medicine ISBN: 0128233370 ISBN-13(EAN): 9780128233375 Издательство: Elsevier Science Рейтинг: Цена: 105540.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Intelligence-Based Medicine: Data Science, Artificial Intelligence, and Human Cognition in Clinical Medicine and Healthcare provides a multidisciplinary and comprehensive survey of artificial intelligence concepts and methodologies with real life applications in healthcare and medicine. Authored by a senior physician-data scientist, the book presents an intellectual and academic interface between the medical and the data science domains that is symmetric and balanced. The content consists of basic concepts of artificial intelligence and its real-life applications in a myriad of medical areas as well as medical and surgical subspecialties. It brings section summaries to emphasize key concepts delineated in each section; mini-topics authored by world-renowned experts in the respective key areas for their personal perspective; and a compendium of practical resources, such as glossary, references, best articles, and top companies. The goal of the book is to inspire clinicians to embrace the artificial intelligence methodologies as well as to educate data scientists about the medical ecosystem, in order to create a transformational paradigm for healthcare and medicine by using this emerging new technology.
Автор: Patel Lomit Название: Lean AI: How Innovative Startups Use Artificial Intelligence to Grow ISBN: 1492059315 ISBN-13(EAN): 9781492059318 Издательство: Wiley Рейтинг: Цена: 42230.00 T Наличие на складе: Поставка под заказ. Описание: With this practical book, author Lomit Patel shows you how to use AI and automation to provide an operational layer atop those acquisition solutions to deliver amazing results for your company.
Автор: David D. Luxton Название: Artificial Intelligence in Behavioral and Mental Health Care ISBN: 0124202489 ISBN-13(EAN): 9780124202481 Издательство: Elsevier Science Рейтинг: Цена: 61750.00 T Наличие на складе: Поставка под заказ. Описание:
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.
Keynotes.- Scrutability, control and learner models: foundations for learner-centred design in AIED.- Augmenting learning with smart design, smart systems, and intelligence.- Invited Panels.- Mind the Gap: The Bidirectional Relationship between Diversity, Equity, and Inclusion (DEI) and Artificial Intelligence (AI).- Research-based Digital-first Assessments and the Future of Education.- Short Papers.- Open Learner Models for Multi-Activity Educational Systems.- Personal vocabulary recommendation to support real life needs.- AI Ethics Guidelines for K-12 Education: A Review of the Policy Landscape.- Quantitative Analysis to Further Validate WC-GCMS, a Computational Metric of Collaboration in Online Textual Discourse.-Generation of automatic data-driven feedback to students using Explainable Machine Learning.- Interactive Personas: Towards the Dynamic Assessment of Student Motivation within ITS.- Agent-based Classroom Environment Simulation: the Effect of Disruptive Schoolchildren's Behaviour versus Teacher Control over NeighboursIntegration of Automated Essay Scoring Models using Item Response Theory.- Towards sharing student models across learning systems.- Protecting Student Privacy with Synthetic Data from Generative Adversarial Networks.- Learning Analytics and Fairness: Do Existing Algorithms Serve Everyone Equally?.- Exploiting structured error to improve automated scoring of oral reading fluency.- Data Augmentation for Enlarging Student Feature Space and Improving Random Forest Success.-The School Path Guide: a Practical Introduction to Representation and Reasoning in AI for High School Students.- Kwame: A Bilingual AI Teaching Assistant for Online SuaCode Courses.- Early Prediction of Children's Disengagement in a Tablet Tutor using Visual Features.- An Educational System for Personalized Teacher Recommendation in K-12 Online Classrooms.- Designing intelligent systems to support medical diagnostic reasoning using process data.- Incorporating Item Response Theory into Knowledge Tracing.- The Automated Model of Comprehension (AMoC) v2.0.- Pre-course Prediction of At-Risk Calculus Students.- Examining Learners' Reflections over Time during Game-based Learning.- Examining the Use of a Teacher Alerting Dashboard During Remote Learning.- Capturing Fairness and Uncertainty in Student Dropout Prediction - A Comparison Study.- Dr. Proctor: A Multi-modal AI-Based Platform for Remote Proctoring in Education.- Multimodal Trajectory Analysis of Visitor Engagement with Interactive Science Museum Exhibits.-Analytics of Emerging and Scripted Roles in Online Discussions: Epistemic Network Analysis Approach.- Towards Automatic Content Analysis of Rhetorical Structure in Brazilian College Entrance Essays.- Contrasting Automatic and Manual Group Formation: A Case Study in a Software Engineering Postgraduate Course.- Aligning Expectations About the Adoption of Learning Analytics in a Brazilian Higher Education Institution.- Interactive Teaching with Groups of Unknown Bayesian Learners.- Multi-Task Learning based Online Dialogic Instruction Detection with Pre-trained Language Models.- Impact of Predictive Learning Analytics on Course Awarding Gap of Disadvantaged students in STEM.- Evaluation of Automated Image Descriptions for Visually Impaired Students.- Way to Go! Effects of Motivational Support and Agents on Reducing Foreign Language Anxiety.- "I didn't copy his code" Code Plagiarism Detection with Visual Proof.- An Epistemic Model-Based Tutor for Imperative Programming.- Long Term Retention of Programming Concepts Learned Using Tracing Versus Debugging Tutors.- Facilitating the Implementation of AI-based Assistive Technologies for Persons with Disabilities in Vocational Rehabilitation: A practical Design Thinking Approach.- Quantifying the Impact of Severe Weather Conditions on Online Learning During the COVID-19 Pandemic.- I-Mouse: A Framework f
Автор: Dilip Singh Sisodia, Ram Bilas Pachori, Lalit Garg Название: Advancement of Artificial Intelligence in Healthcare Engineering ISBN: 179982120X ISBN-13(EAN): 9781799821205 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 264270.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Provides comprehensive research on the possible applications of machine learning, deep learning, soft computing, and evolutionary computing techniques in the design, implementation, and optimization of healthcare engineering solutions. The book features a range of topics such as genetic algorithms, mobile robotics, and neuroinformatics.
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