Computing and artificial intelligence in digital therapeutics

Computing and artificial intelligence in digital therapeutics PDF Author: Pengwei Hu
Publisher: Frontiers Media SA
ISBN: 2832537731
Category : Medical
Languages : en
Pages : 209

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Book Description


Personalized Medicine Meets Artificial Intelligence

Personalized Medicine Meets Artificial Intelligence PDF Author: Alfredo Cesario
Publisher: Springer Nature
ISBN: 3031326148
Category : Science
Languages : en
Pages : 275

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Book Description
The book provides a multidisciplinary outlook on using Artificial Intelligence (AI)-based solutions in the field of Personalized Medicine and its transitioning towards Personalized Digital Medicine. The first section integrates different perspectives on AI-based solutions and highlights their potential in biomedical research and patient care. In the second section, the authors present several real-world examples that demonstrate the successful use of AI technologies in various contexts. These include examples from digital therapeutics, in silico clinical trials, and network pharmacology. In the final section of the book, the authors explore future directions in AI-enhanced biomedical technologies and discuss emerging technologies such as blockchain, quantum computing and the “metaverse”. The book includes discussions on the ethical, regulatory, and social implications for an AI-based personalized medicine. The integration of heterogeneous disciplines brings together multiple stakeholders and decision makers involved in the personalization of care. Clinicians, students, and researchers from academia and the industry can benefit from this book, since it provides foundational knowledge to drive advances in personalized biomedical research and health care.

Artificial Intelligence and Machine Learning for Healthcare

Artificial Intelligence and Machine Learning for Healthcare PDF Author: Chee Peng Lim
Publisher: Springer Nature
ISBN: 3031111702
Category : Medical
Languages : en
Pages : 282

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Book Description
In line with advances in digital and computing systems, artificial intelligence (AI) and machine learning (ML) technologies have transformed many aspects of medical and healthcare services, delivering tangible benefits to patents and the general public. This book is a sequel of the edition on “Artificial Intelligence and Machine Learning for Healthcare”. The first volume is focused on utilization of AI and ML for image and data analytics in the medical and healthcare domains. In this second volume, emerging methodologies and future trends in AI and ML for advancing medical treatments and healthcare services are presented. The selected studies in this book provide readers a glimpse on current progresses in AI and ML for undertaking a variety of healthcare-related tasks. The advances in AI and ML technologies for future healthcare are also discussed, shedding light on the potential of AI and ML to realize the next-generation medical treatments and healthcare services for the betterment of our global society.

Artificial Intelligence in Healthcare

Artificial Intelligence in Healthcare PDF Author: Adam Bohr
Publisher: Academic Press
ISBN: 0128184396
Category : Computers
Languages : en
Pages : 385

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Book Description
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

Roles and Challenges of Semantic Intelligence in Healthcare Cognitive Computing

Roles and Challenges of Semantic Intelligence in Healthcare Cognitive Computing PDF Author: A. Carbonaro
Publisher: IOS Press
ISBN: 1643684612
Category : Computers
Languages : en
Pages : 178

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Book Description
The data that must be processed in healthcare includes text, numbers, statistics, and images, and healthcare systems are continuously acquiring novel data from cutting-edge technologies like wearable devices. Semantic intelligence technologies, such as artificial intelligence, machine learning, and the internet of things, together with the hybrid methodologies which combine these approaches, are central to the development of the intelligent, knowledge-based systems now used in healthcare. This book, Roles and Challenges of Semantic Intelligence in Healthcare Cognitive Computing explores those emerging fields of science and technology in which cognitive computing techniques offer the effective solutions poised to impact healthcare in the foreseeable future, minimizing errors and improving the effectiveness of personalized care models. The book assesses the current landscape, and identifies the roles and challenges of integrating cognitive computing techniques into the widespread adoption of innovative smart healthcare solutions. Each chapter is the result of collaboration by experts from various domains, and provides a detailed overview of the potential offered by new technologies in the field. A wide spectrum of topics and emerging trends are covered, reflecting the multidisciplinary nature of healthcare and cognitive computing and including digital twins, eXplainable AI, AI-based decision-support systems in intensive care, and culinary healthcare, as well as the semantic internet of things (SIoT), natural language processing, and deep learning and graph models. The book presents new ideas which will facilitate collaboration among the different disciplines involved, and will be of interest to all those working in this rapidly evolving field.

Future Health Scenarios

Future Health Scenarios PDF Author: Maria José Sousa
Publisher: CRC Press
ISBN: 1000873234
Category : Business & Economics
Languages : en
Pages : 291

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Book Description
Digital technologies is a major emerging area to invest and research in new models of health management. Future health scenarios are constituted by technologies in health and clinical decision-making systems. This book provides a unique multidisciplinary approach for exploring the potential contribution of AI and digital technologies in enabling global healthcare systems to respond to urgent twenty-first-century challenges. Deep analysis has been made regarding telemedicine using big data, deep learning, robotics, mobile and remote applications. Features: Focuses on prospective scenarios in health to predict possible futures. Addresses the urgent needs of the key population, socio-technical and health themes. Covers health innovative practices as 3D models for surgeries, big data to treat rare diseases, and AI robot for heart treatments. Explores telemedicine using big data, deep learning, robotics, mobile and remote applications. Reviews public health based on predictive analytics and disease trends. This book is aimed at researchers, professionals, and graduate students in computer science, artificial intelligence, decision support, healthcare technology management, biomedical engineering, and robotics.

AI-First Healthcare

AI-First Healthcare PDF Author: Kerrie L. Holley
Publisher: "O'Reilly Media, Inc."
ISBN: 149206310X
Category : Computers
Languages : en
Pages : 222

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Book Description
AI is poised to transform every aspect of healthcare, including the way we manage personal health, from customer experience and clinical care to healthcare cost reductions. This practical book is one of the first to describe present and future use cases where AI can help solve pernicious healthcare problems. Kerrie Holley and Siupo Becker provide guidance to help informatics and healthcare leadership create AI strategy and implementation plans for healthcare. With this book, business stakeholders and practitioners will be able to build knowledge, a roadmap, and the confidence to support AIin their organizations—without getting into the weeds of algorithms or open source frameworks. Cowritten by an AI technologist and a medical doctor who leverages AI to solve healthcare’s most difficult challenges, this book covers: The myths and realities of AI, now and in the future Human-centered AI: what it is and how to make it possible Using various AI technologies to go beyond precision medicine How to deliver patient care using the IoT and ambient computing with AI How AI can help reduce waste in healthcare AI strategy and how to identify high-priority AI application

Digital Transformation in Healthcare 5.0

Digital Transformation in Healthcare 5.0 PDF Author: Rishabha Malviya
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3111327868
Category : Computers
Languages : en
Pages : 409

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Book Description
"Digital Transformation in Healthcare 5.0: IoT, AI, and Digital Twin" provides a comprehensive overview of the integration of cutting-edge technology with healthcare, from the Fourth Industrial Revolution (4IR) to the introduction of IoT, AI, and Digital Twin technologies. This in-depth discussion of the digital revolution expanding the healthcare industry covers a wide range of topics, including digital disruption in healthcare delivery, the impact of 4IR and Health 4.0, e-health services and applications, virtual reality's impact on accessible healthcare delivery, digital twins and dietary health technologies, big data analytics in healthcare systems, machine learning models for cost-effective healthcare delivery systems, affordable healthcare with machine learning, enhanced biomedical signal processing with machine learning, and data-driven AI for information retrieval of biomedical images.

Data Science and Artificial Intelligence for Digital Healthcare

Data Science and Artificial Intelligence for Digital Healthcare PDF Author: Pradeep Kumar Singh
Publisher: Springer
ISBN: 9783031568176
Category : Technology & Engineering
Languages : en
Pages : 0

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Book Description
This book explores current research and development in the area of digital healthcare using recent technologies such as data science and artificial intelligence. The authors discuss how data science, AI, and mobile technologies provide the fundamental backbone to digital healthcare, presenting each technology separately as well covering integrated solutions. The book also focuses on the integration of different multi-disciplinary approaches along with examples and case studies. In order to identify the challenges with security and privacy issues, relevant block chain technologies are identified and discussed. Social aspects related to digital solutions and platforms for healthcare are also discussed and analyzed. The book aims to present high quality, technical contributions in the field of mobile digital healthcare using technologies such as AI, deep learning, IoT and distributed cloud computing.

Psychodynamic Treatment Research

Psychodynamic Treatment Research PDF Author: Nancy E. Miller
Publisher:
ISBN:
Category : Psychology
Languages : en
Pages : 616

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Book Description
"As we enter a new era of scientific evaluation and acceptance of Freud's ideas, psychodynamic practitioners need to be aware of the most valid and clinically useful findings relevant to their everyday work with patients. This handbook meets that need by integrating the best contributions of the clinical psychoanalytic literature with the latest generation of clinical-quantitative research, and translating these findings into pragmatic clinical wisdom about what works and what doesn't." "In twenty-six chapters, forty-nine leading authorities and clinician-researchers discuss what is known about selecting patients, defining treatments, and measuring key processes and outcomes. The findings include which curative factors are effective; how the patient-therapist alliance can be a major predictor of treatment success; new transference, defense, insight, and internalization measures; prescriptions for improved case studies; pros and cons of the DSMs; and the role of psychotherapy manuals." "This comprehensive volume not only offers the clinician the latest in psychodynamic research and thinking but can guide those who wish to shape their clinical hypothesis into a study. By reviewing the central clinical concepts and techniques of psychodynamic psychotherapy and by providing the necessary empirical documentation to support their validity and clinical relevance, Psychodynamic Treatment Research makes an important contribution to mapping out the future of therapy."--BOOK JACKET.Title Summary field provided by Blackwell North America, Inc. All Rights Reserved