Ai In Ehealth

Author : Surbhi Bhatia,Ashutosh Kumar Dubey,Rita Chhikara,Poonam Chaudhary,Abhishek Kumar
Publisher : Springer Nature
Page : 323 pages
File Size : 42,6 Mb
Release : 2021-07-02
Category : Technology & Engineering
ISBN : 9783030670511

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Intelligent Healthcare by Surbhi Bhatia,Ashutosh Kumar Dubey,Rita Chhikara,Poonam Chaudhary,Abhishek Kumar Pdf

This book fosters a scientific debate for sophisticated approaches and cognitive technologies (such as deep learning, machine learning and advanced analytics) for enhanced healthcare services in light of the tremendous scope in the future of intelligent systems for healthcare. The authors discuss the proliferation of huge data sources (e.g. genomes, electronic health records (EHRs), mobile diagnostics, and wearable devices) and breakthroughs in artificial intelligence applications, which have unlocked the doors for diagnosing and treating multitudes of rare diseases. The contributors show how the widespread adoption of intelligent health based systems could help overcome challenges, such as shortages of staff and supplies, accessibility barriers, lack of awareness on certain health issues, identification of patient needs, and early detection and diagnosis of illnesses. This book is a small yet significant step towards exploring recent advances, disseminating state-of-the-art techniques and deploying novel technologies in intelligent healthcare services and applications. Describes the advances of computing methodologies for life and medical science data; Presents applications of artificial intelligence in healthcare along with case studies and datasets; Provides an ideal reference for medical imaging researchers, industry scientists and engineers, advanced undergraduate and graduate students, and clinicians.

Author : Marcelo Corrales Compagnucci,Michael Lowery Wilson,Mark Fenwick,Nikolaus Forgó,Till Bärnighausen
Publisher : Cambridge University Press
Page : 493 pages
File Size : 41,7 Mb
Release : 2022-09-15
Category : Law
ISBN : 9781108830966

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AI in eHealth by Marcelo Corrales Compagnucci,Michael Lowery Wilson,Mark Fenwick,Nikolaus Forgó,Till Bärnighausen Pdf

The emergence of digital platforms and the new application economy are transforming healthcare and creating new opportunities and risks for all stakeholders in the medical ecosystem. Many of these developments rely heavily on data and AI algorithms to prevent, diagnose, treat, and monitor diseases and other health conditions. A broad range of medical, ethical and legal knowledge is now required to navigate this highly complex and fast-changing space. This collection brings together scholars from medicine and law, but also ethics, management, philosophy, and computer science, to examine current and future technological, policy and regulatory issues. In particular, the book addresses the challenge of integrating data protection and privacy concerns into the design of emerging healthcare products and services. With a number of comparative case studies, the book offers a high-level, global, and interdisciplinary perspective on the normative and policy dilemmas raised by the proliferation of information technologies in a healthcare context.

Author : Deepak Gupta,Joel J. P. C. Rodrigues,Sheng-Lung Peng,Nhu Nguyen
Publisher : Frontiers Media SA
Page : 91 pages
File Size : 42,9 Mb
Release : 2022-04-25
Category : Medical
ISBN : 9782889749768

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Artificial Intelligence for eHealth by Deepak Gupta,Joel J. P. C. Rodrigues,Sheng-Lung Peng,Nhu Nguyen Pdf

Author : Houneida Sakly,Kristen Yeom,Safwan Halabi,Mourad Said,Jayne Seekins,Moncef Tagina
Publisher : Springer Nature
Page : 256 pages
File Size : 44,8 Mb
Release : 2023-01-01
Category : Medical
ISBN : 9783031111990

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Trends of Artificial Intelligence and Big Data for E-Health by Houneida Sakly,Kristen Yeom,Safwan Halabi,Mourad Said,Jayne Seekins,Moncef Tagina Pdf

This book aims to present the impact of Artificial Intelligence (AI) and Big Data in healthcare for medical decision making and data analysis in myriad fields including Radiology, Radiomics, Radiogenomics, Oncology, Pharmacology, COVID-19 prognosis, Cardiac imaging, Neuroradiology, Psychiatry and others. This will include topics such as Artificial Intelligence of Thing (AIOT), Explainable Artificial Intelligence (XAI), Distributed learning, Blockchain of Internet of Things (BIOT), Cybersecurity, and Internet of (Medical) Things (IoTs). Healthcare providers will learn how to leverage Big Data analytics and AI as methodology for accurate analysis based on their clinical data repositories and clinical decision support. The capacity to recognize patterns and transform large amounts of data into usable information for precision medicine assists healthcare professionals in achieving these objectives. Intelligent Health has the potential to monitor patients at risk with underlying conditions and track their progress during therapy. Some of the greatest challenges in using these technologies are based on legal and ethical concerns of using medical data and adequately representing and servicing disparate patient populations. One major potential benefit of this technology is to make health systems more sustainable and standardized. Privacy and data security, establishing protocols, appropriate governance, and improving technologies will be among the crucial priorities for Digital Transformation in Healthcare.

Author : Eric Topol
Publisher : Basic Books
Page : 373 pages
File Size : 45,7 Mb
Release : 2019-03-12
Category : Health & Fitness
ISBN : 9781541644649

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Deep Medicine by Eric Topol Pdf

A Science Friday pick for book of the year, 2019 One of America's top doctors reveals how AI will empower physicians and revolutionize patient care Medicine has become inhuman, to disastrous effect. The doctor-patient relationship--the heart of medicine--is broken: doctors are too distracted and overwhelmed to truly connect with their patients, and medical errors and misdiagnoses abound. In Deep Medicine, leading physician Eric Topol reveals how artificial intelligence can help. AI has the potential to transform everything doctors do, from notetaking and medical scans to diagnosis and treatment, greatly cutting down the cost of medicine and reducing human mortality. By freeing physicians from the tasks that interfere with human connection, AI will create space for the real healing that takes place between a doctor who can listen and a patient who needs to be heard. Innovative, provocative, and hopeful, Deep Medicine shows us how the awesome power of AI can make medicine better, for all the humans involved.

Author : Parag Chatterjee,Massimo Esposito
Publisher : Elsevier
Page : 226 pages
File Size : 46,6 Mb
Release : 2023-05-21
Category : Computers
ISBN : 9780323905732

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Artificial Intelligence in Healthcare and COVID-19 by Parag Chatterjee,Massimo Esposito Pdf

Artificial Intelligence in Healthcare and COVID-19 showcases theoretical concepts and implementational and research perspectives surrounding AI. The book addresses both medical and technological visions, making it even more applied. With the advent of COVID-19, it is obvious that leading universities and medical schools must include these topics and case studies in their usual courses of health informatics to keep up with the pace of technological and medical advancements. This book will also serve professors teaching courses and industry practitioners and professionals working in the R&D team of leading medical and informatics companies who want to embrace AI and eHealth to fight COVID-19. Since AI in healthcare is a comparatively new field, there exists a vacuum of literature in this field, especially when applied to COVID-19. With the area of AI in COVID-19 being quite young, students and researchers usually face a struggle to rely on the few published papers (which are obviously too specific) or whitepapers by tech-giants (which are too wide). Discusses the fundamentals and theoretical concepts of applying AI in healthcare pertaining to COVID-19 Provides a landscape view to the applied aspect of AI in healthcare related COVID-19 through case studies and innovative applications Discusses key concerns and challenges in the field of AI in eHealth during the pandemic, along with other allied fields like IoT, creating a broad platform of transdisciplinary discussion

Author : Ilias G. Maglogiannis
Publisher : IOS Press
Page : 420 pages
File Size : 54,5 Mb
Release : 2007
Category : Computers
ISBN : 9781586037802

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Emerging Artificial Intelligence Applications in Computer Engineering by Ilias G. Maglogiannis Pdf

Provides insights on how computer engineers can implement artificial intelligence (AI) in real world applications. This book presents practical applications of AI.

Author : Sandeep Reddy
Publisher : CRC Press
Page : 287 pages
File Size : 44,7 Mb
Release : 2020-12-02
Category : Business & Economics
ISBN : 9781000216868

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Artificial Intelligence by Sandeep Reddy Pdf

The rediscovery of the potential of artificial intelligence (AI) to improve healthcare delivery and patient outcomes has led to an increasing application of AI techniques such as deep learning, computer vision, natural language processing, and robotics in the healthcare domain. Many governments and health authorities have prioritized the application of AI in the delivery of healthcare. Also, technological giants and leading universities have established teams dedicated to the application of AI in medicine. These trends will mean an expanded role for AI in the provision of healthcare. Yet, there is an incomplete understanding of what AI is and its potential for use in healthcare. This book discusses the different types of AI applicable to healthcare and their application in medicine, population health, genomics, healthcare administration, and delivery. Readers, especially healthcare professionals and managers, will find the book useful to understand the different types of AI and how they are relevant to healthcare delivery. The book provides examples of AI being applied in medicine, population health, genomics, healthcare administration, and delivery and how they can commence applying AI in their health services. Researchers and technology professionals will also find the book useful to note current trends in the application of AI in healthcare and initiate their own projects to enable the application of AI in healthcare/medical domains.

Author : Adam Bohr,Kaveh Memarzadeh
Publisher : Academic Press
Page : 385 pages
File Size : 55,8 Mb
Release : 2020-06-21
Category : Computers
ISBN : 9780128184394

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Artificial Intelligence in Healthcare by Adam Bohr,Kaveh Memarzadeh Pdf

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

Author : Sanju Tiwari,Fernando Ortiz Rodriguez,M.A. Jabbar
Publisher : Academic Press
Page : 292 pages
File Size : 47,9 Mb
Release : 2022-09-17
Category : Computers
ISBN : 9780323972260

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Semantic Models in IoT and eHealth Applications by Sanju Tiwari,Fernando Ortiz Rodriguez,M.A. Jabbar Pdf

Semantic Models in IoT and eHealth Applications explores the key role of semantic web modeling in eHealth technologies, including remote monitoring, mobile health, cloud data and biomedical ontologies. The book explores different challenges and issues through the lens of various case studies of healthcare systems currently adopting these technologies. Chapters introduce the concepts of semantic interoperability within a healthcare model setting and explore how semantic representation is key to classifying, analyzing and understanding the massive amounts of biomedical data being generated by connected medical devices. Continuous health monitoring is a strong solution which can provide eHealth services to a community through the use of IoT-based devices that collect sensor data for efficient health diagnosis, monitoring and treatment. All of this collected data needs to be represented in the form of ontologies which are considered the cornerstone of the Semantic Web for knowledge sharing, information integration and information extraction. Presents comprehensive coverage of advances in the application of semantic web in the field of eHealth Explores different challenges and issues through various case studies of healthcare systems that are adopting semantic web technologies Covers applications across a range of eHealth technologies, including remote monitoring and mobile health

Author : Thomas F. Heston
Publisher : BoD – Books on Demand
Page : 186 pages
File Size : 43,8 Mb
Release : 2018-08-01
Category : Health & Fitness
ISBN : 9781789235227

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eHealth by Thomas F. Heston Pdf

eHealth has revolutionized health care and the practice of medicine. Internet technologies have given the most rural communities access to healthcare services, and automated computer algorithms are improving medical diagnoses and speeding up the delivery of care. Handheld apps, wearable devices, and artificial intelligence lead the way, creating a global healthcare solution that is smarter and more accessible. Read what leaders in the field are doing to advance the use of electronic technology to improve global health.

Author : Arash Shaban-Nejad,Martin Michalowski,David L. Buckeridge
Publisher : Springer Nature
Page : 344 pages
File Size : 42,7 Mb
Release : 2020-11-02
Category : Technology & Engineering
ISBN : 9783030533526

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Explainable AI in Healthcare and Medicine by Arash Shaban-Nejad,Martin Michalowski,David L. Buckeridge Pdf

This book highlights the latest advances in the application of artificial intelligence and data science in health care and medicine. Featuring selected papers from the 2020 Health Intelligence Workshop, held as part of the Association for the Advancement of Artificial Intelligence (AAAI) Annual Conference, it offers an overview of the issues, challenges, and opportunities in the field, along with the latest research findings. Discussing a wide range of practical applications, it makes the emerging topics of digital health and explainable AI in health care and medicine accessible to a broad readership. The availability of explainable and interpretable models is a first step toward building a culture of transparency and accountability in health care. As such, this book provides information for scientists, researchers, students, industry professionals, public health agencies, and NGOs interested in the theory and practice of computational models of public and personalized health intelligence.

Author : Maria José Sousa,Francisco Guilherme Nunes,Generosa do Nascimento,Chinmay Chakraborty
Publisher : CRC Press
Page : 307 pages
File Size : 45,9 Mb
Release : 2023-05-15
Category : Business & Economics
ISBN : 9781000873276

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Future Health Scenarios by Maria José Sousa,Francisco Guilherme Nunes,Generosa do Nascimento,Chinmay Chakraborty Pdf

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.

Author : Mingbo Gong,Anna Farzindar,Alex Liu
Publisher : IAP
Page : 185 pages
File Size : 46,5 Mb
Release : 2020-04-01
Category : Computers
ISBN : 9781641138994

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Transforming Healthcare with Big Data and AI by Mingbo Gong,Anna Farzindar,Alex Liu Pdf

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.

Author : Carmela Comito,Agostino Forestiero,Ester Zumpano
Publisher : Springer
Page : 0 pages
File Size : 44,8 Mb
Release : 2023-02-25
Category : Technology & Engineering
ISBN : 3030911837

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Integrating Artificial Intelligence and IoT for Advanced Health Informatics by Carmela Comito,Agostino Forestiero,Ester Zumpano Pdf

The book covers the integration of Internet of Things (IoT) and Artificial Intelligence (AI) to tackle applications in smart healthcare. The authors discuss efficient means to collect, monitor, control, optimize, model, and predict healthcare data using AI and IoT. The book presents the many advantages and improvements in the smart healthcare field, in which ubiquitous computing and traditional computational methods alone are often inadequate. AI techniques are presented that play a crucial role in dealing with large amounts of heterogeneous, multi-scale and multi-modal data coming from IoT infrastructures. The book is intended to cover how the fusion of IoT and AI allows the design of models, methodologies, algorithms, evaluation benchmarks, and tools can address challenging problems related to health informatics, healthcare, and wellbeing.