AI Innovation in Medical Imaging Diagnostics

"This book examines the application of artificial intelligence in medical imaging diagnostics"--

Author: Kalaivani Anbarasan

Publisher: Medical Information Science Reference

ISBN: 1799830926

Category:

Page: 300

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"This book examines the application of artificial intelligence in medical imaging diagnostics"--
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AI Innovation in Medical Imaging Diagnostics

Title: AI innovation in medical imaging diagnostics / Kalaivani Anbarasan, editor. Description: Hershey, PA : Medical Information Science Reference, [2020] | Includes bibliographical references and index. | Summary: “This book examines ...

Author: Anbarasan, Kalaivani

Publisher: IGI Global

ISBN: 9781799830931

Category: Medical

Page: 248

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Recent advancements in the technology of medical imaging, such as CT and MRI scanners, are making it possible to create more detailed 3D and 4D images. These powerful images require vast amounts of digital data to help with the diagnosis of the patient. Artificial intelligence (AI) must play a vital role in supporting with the analysis of this medical imaging data, but it will only be viable as long as healthcare professionals and AI interact to embrace deep thinking platforms such as automation in the identification of diseases in patients. AI Innovation in Medical Imaging Diagnostics is an essential reference source that examines AI applications in medical imaging that can transform hospitals to become more efficient in the management of patient treatment plans through the production of faster imaging and the reduction of radiation dosages through the PET and SPECT imaging modalities. The book also explores how data clusters from these images can be translated into small data packages that can be accessed by healthcare departments to give a real-time insight into patient care and required interventions. Featuring research on topics such as assistive healthcare, cancer detection, and machine learning, this book is ideally designed for healthcare administrators, radiologists, data analysts, computer science professionals, medical imaging specialists, diagnosticians, medical professionals, researchers, and students.
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Diagnostic Applications of Health Intelligence and Surveillance Systems

For a list of additional titles in this series, please visit: http://www.igi-global.com/book-series/advances-medical-technologies-clinical-practice/73682 AI Innovation in Medical Imaging Diagnostics Kalaivani Anbarasan (Saveetha School ...

Author: Yadav, Divakar

Publisher: IGI Global

ISBN: 9781799865285

Category: Medical

Page: 332

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Health surveillance and intelligence play an important role in modern health systems as more data must be collected and analyzed. It is crucial that this data is interpreted and analyzed effectively and efficiently in order to assist with diagnoses and predictions. Diagnostic Applications of Health Intelligence and Surveillance Systems is an essential reference book that examines recent studies that are driving artificial intelligence in the health sector and helping practitioners to predict and diagnose diseases. Chapters within the book focus on health intelligence and how health surveillance data can be made useful and meaningful. Covering topics that include computational intelligence, data analytics, mobile health, and neural networks, this book is crucial for healthcare practitioners, IT specialists, academicians, researchers, and students.
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Advancing the Investigation and Treatment of Sleep Disorders Using AI

... AI Innovation in Medical Imaging Diagnostics Kalaivani Anbarasan (Department of Computer Science and Engineering, Saveetha School of Engineering, India & Saveetha Institute of Medical and Technical Sciences, Chennai, India) Medical ...

Author: Kumar, M. Rajesh

Publisher: IGI Global

ISBN: 9781799880196

Category: Health & Fitness

Page: 290

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There are more than 80 different sleep disorders including insomnia, sleep apnea, restless leg syndrome, hypersomnia, circadian rhythm disorders, and parasomnia. Good sleep is necessary for optimal health and can affect hormone levels and weight. The use of artificial intelligence (AI) and biomedical signals and images can help in healthcare diagnostics that are related to these and other sleep disorders. Advancing the Investigation and Treatment of Sleep Disorders Using AI presents an overview of sleep disorders based on machine intelligence methods in order to learn and explore the latest advancements, developments, methods, systems, futuristic approaches, and algorithms towards sleep disorders and to address their challenges. This book also discusses recent and future advancements in various feature extraction techniques and machine learning methods. Covering topics such as biomedical signal processing, augmented reality for clinical investigation, and sleep disorder detection, this book is essential for sleep medicine practitioners, clinical psychologists, psychiatrists, medical technologists, doctors, IT specialists, biomedical engineers, researchers, graduate students, and academicians.
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Handbook of Research on Solving Modern Healthcare Challenges With Gamification

For a list of additional titles in this series, please visit: www.igi-global.com/book-series AI Innovation in Medical Imaging Diagnostics Kalaivani Anbarasan (Saveetha School of Engineering, India) Medical Information Science Reference ...

Author: Alexandre Peixoto de Queirós, Ricardo

Publisher: IGI Global

ISBN: 9781799874775

Category: Medical

Page: 382

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While many fields such as e-learning, business, and marketing have taken advantage of the potential of gamification, the healthcare domain has just started to exploit this emerging trend, still in an ad-hoc fashion. Despite the huge potential of applying gamification on several topics of healthcare, there are scarce theoretical studies regarding methodologies, techniques, specifications, and frameworks. These applications must be examined further as they can be used to solve major healthcare-related challenges such as care plan maintenance, medication adherence, phobias treatment, or patient education. Handbook of Research on Solving Modern Healthcare Challenges With Gamification aims to share new approaches and methodologies to build e-health solutions using gamification and identifies new trends on this topic from pedagogical strategies to technological approaches. This book serves as a collection of knowledge that builds the theoretical foundations that can be helpful in creating sustainable e-health solutions in the future. While covering topics such as augmented and virtual reality, ethical issues in gamification, e-learning, telehealth services, and digital applications, this book is essential for research scholars, healthcare/computer science teachers and students pursuing healthcare/computer science-related subjects, enterprise developers, practitioners, researchers, academicians, and students interested in the latest developments and research solving healthcare challenges with modern e-health solutions using gamification.
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Machine Learning in Cancer Research With Applications in Colon Cancer and Big Data Analysis

... AI Innovation in Medical Imaging Diagnostics Kalaivani Anbarasan (Department of Computer Science and Engineering, Saveetha School of Engineering, India & Saveetha Institute of Medical and Technical Sciences, Chennai, India) Medical ...

Author: Lu, Zhongyu

Publisher: IGI Global

ISBN: 9781799873174

Category: Medical

Page: 263

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Cancer continues to be a growing problem as it is the foremost cause of death worldwide, killing millions of people each year. The number of people battling cancer continues to increase, owing to different reasons, such as lifestyle choices. Clinically, determining the cause of cancer is very challenging and often inaccurate. Incorporating efficient and accurate algorithms to detect cancer cases is becoming increasingly beneficial for scientists in computer science and healthcare, as well as a long-term benefit for doctors, patients, clinic practitioners, and more. Specifically, an automation of computation in machine learning could be a solution in the next generation of big data science technology. Machine Learning in Cancer Research With Applications in Colon Cancer and Big Data Analysis presents algorithms that have been developed to evaluate big data approaches and cancer research. The chapters include artificial intelligence and machine learning approaches, as well as case studies to solve the predictive issues in colon cancer research. This book includes concepts and techniques used to run tasks in an automated manner with the intent to improve better accuracy in comparison with previous studies and methods. This book also covers the processes of research design, development, and outcome analytics in this field. Doctors, IT consultants, IT specialists, medical software professionals, data scientists, researchers, computer scientists, healthcare practitioners, academicians, and students can benefit from this critical resource.
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Handbook of Research on Nano Strategies for Combatting Antimicrobial Resistance and Cancer

... AI Innovation in Medical Imaging Diagnostics Kalaivani Anbarasan (Department of Computer Science and Engineering, Saveetha School of Engineering, India & Saveetha Institute of Medical and Technical Sciences, Chennai, India) Medical ...

Author: Saravanan, Muthupandian

Publisher: IGI Global

ISBN: 9781799850502

Category: Medical

Page: 559

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Multidrug-resistant bacteria play a significant role in public health by destroying the potency of existing antibiotics. Meanwhile, cancer remains one of the most common health problems that impact society, resulting in many deaths worldwide. Novel strategies are required to combat antimicrobial resistance and create efficient anticancer drugs that could revolutionize treatment. Nanomedicine is one such innovation that plays a significant role in developing alternative and more effective treatment strategies for antimicrobial resistance and cancer theranostics. The Handbook of Research on Nano-Strategies for Combatting Antimicrobial Resistance and Cancer is an essential scholarly resource that examines (1) how to overcome the existing, traditional approaches to combat antimicrobial resistance and cancer; (2) how to apply multiple mechanisms to target the cancer cells and microbes; and (3) how the nanomaterials can be used as carriers. Featuring a range of topics such as bacteriophage, nanomedicine, and oncology, this book is ideal for molecular biologists, microbiologists, nanotechnologists, academicians, chemists, pharmacists, oncologists, researchers, healthcare professionals, and students.
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Machine Learning and Data Analytics for Predicting Managing and Monitoring Disease

Advancing the Investigation and Treatment of Sleep Disorders Using AI M. Rajesh Kumar (Vellore Institute of Technology ... AI Innovation in Medical Imaging Diagnostics Kalaivani Anbarasan (Department of Computer Science and Engineering, ...

Author: Roy, Manikant

Publisher: IGI Global

ISBN: 9781799871903

Category: Computers

Page: 241

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Data analytics is proving to be an ally for epidemiologists as they join forces with data scientists to address the scale of crises. Analytics examined from many sources can derive insights and be used to study and fight global outbreaks. Pandemic analytics is a modern way to combat a problem as old as humanity itself: the proliferation of disease. Machine Learning and Data Analytics for Predicting, Managing, and Monitoring Disease explores different types of data and discusses how to prepare data for analysis, perform simple statistical analyses, create meaningful data visualizations, predict future trends from data, and more by applying cutting edge technology such as machine learning and data analytics in the wake of the COVID-19 pandemic. Covering a range of topics such as mental health analytics during COVID-19, data analysis and machine learning using Python, and statistical model development and deployment, it is ideal for researchers, academicians, data scientists, technologists, data analysts, diagnosticians, healthcare professionals, computer scientists, and students.
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Global Innovation Index 2019 Creating Healthy Lives The Future of Medical Innovation

... which reflects the strong momentum of medical technology innovation in China (Figure 5.2).10 Also in the Patentics database, China's healthcare AI patents are classified into five categories: medical diagnostics, nursing/caring, ...

Author: World Intellectual Property Organization

Publisher: WIPO

ISBN: 9791095870142

Category: Law

Page: 450

View: 829

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The Global Innovation Index 2019 provides detailed metrics about the innovation performance of 129 countries and economies around the world. Its 80 indicators explore a broad vision of innovation, including political environment, education, infrastructure and business sophistication. The GII 2019 analyzes the medical innovation landscape of the next decade, looking at how technological and non-technological medical innovation will transform the delivery of healthcare worldwide. It also explores the role and dynamics of medical innovation as it shapes the future of healthcare, and the potential influence this may have on economic growth. Chapters of the report provide more details on this year’s theme from academic, business, and particular country perspectives from leading experts and decision makers.
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OECD Reviews of Digital Transformation Going Digital in Sweden

The SIP MedTech4Health under the IPP “Life science” runs the Analytic Imaging Diagnostics Arena (AIDA) programme. AIDA is a national arena for research and innovation around artificial intelligence (AI) for medical imaging diagnostics.

Author: OECD

Publisher: OECD Publishing

ISBN: 9789264302259

Category:

Page: 196

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OECD Reviews of Digital Transformation: Going Digital in Sweden analyses recent developments of the digital economy in the country, reviews policies related to digitalisation and makes recommendations to increase policy coherence in this area.
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Artificial Intelligence Applications and Innovations

Advanced image processing and artificial intelligence methods can support medical diagnostics, follow-up monitoring, preventive medicine, assessment of therapy, and many other domains. These areas have been in recent years the subject ...

Author: Ilias G. Maglogiannis

Publisher: Springer Nature

ISBN: 9783030791575

Category: Application software

Page: 499

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This book constitutes the refereed proceedings of six International Workshops held as parallel events of the 17th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2021, virtually and in Hersonissos, Crete, Greece, in June 2021: the 6th Workshop on 5G-Putting Intelligence to the Network Edge, 5G-PINE 2021; Artificial Intelligence in Biomedical Engineering and Informatics Workshop, AI-BIO 2021; Workshop on Defense Applications of AI, DAAI 2021; Distributed AI for Resource-Constrained Platforms Workshop, DARE 2021; Energy Efficiency and Artificial Intelligence Workshop, EEAI 2021; and the 10th Mining Humanistic Data Workshop, MHDW 2021. The 24 full papers and 16 short papers presented at these workshops were carefully reviewed and selected from 72 submissions. The papers presented at 5G-PINE focus on the latest AI applications in the telecommunication industry and AI in modern 5G-oriented telecommunications infrastructures. The papers chosen for AI-BIO 2021 present research on the subject of AI, in its broadest sense, in biomedical engineering and health informatics. The DAAI 2021 papers aim at presenting recent evolutions in artificial intelligence applicable to defense and security applications. The papers selected for DARE 2021 address a variety of pertinent and challenging topics within the scope of distributed AI for resource-constrained platforms. The papers presented at EEAI 2021 aim to bring together interdisciplinary approaches that focus on the application of AI-driven solutions for increasing and improving energy efficiency of residential and tertiary buildings and of occupant behavior. The MHDW papers focus on topics such as recommendation systems, sentiment analysis, pattern recognition, data mining, and time series.
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Advanced AI Techniques and Applications in Bioinformatics

It represents a significant step in individual diagnostics and shall aid in the development and implementation of ... Alexander, A., et al., An Intelligent Future for Medical Imaging: A Market Outlook on Artificial Intelligence for ...

Author: Loveleen Gaur

Publisher: CRC Press

ISBN: 9781000462982

Category: Computers

Page: 282

View: 196

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The advanced AI techniques are essential for resolving various problematic aspects emerging in the field of bioinformatics. This book covers the recent approaches in artificial intelligence and machine learning methods and their applications in Genome and Gene editing, cancer drug discovery classification, and the protein folding algorithms among others. Deep learning, which is widely used in image processing, is also applicable in bioinformatics as one of the most popular artificial intelligence approaches. The wide range of applications discussed in this book are an indispensable resource for computer scientists, engineers, biologists, mathematicians, physicians, and medical informaticists. Features: Focusses on the cross-disciplinary relation between computer science and biology and the role of machine learning methods in resolving complex problems in bioinformatics Provides a comprehensive and balanced blend of topics and applications using various advanced algorithms Presents cutting-edge research methodologies in the area of AI methods when applied to bioinformatics and innovative solutions Discusses the AI/ML techniques, their use, and their potential for use in common and future bioinformatics applications Includes recent achievements in AI and bioinformatics contributed by a global team of researchers
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E business In The 21st Century Essential Topics And Studies Second Edition

... and Digital China Health 2018); • AI Medical Innovation System or AIMIS of Tencent, which is an AI-powered diagnostic medical imaging service, and was chosen for the national AI diagnostic medical imaging platform (Lew 2018).

Author: Jun Xu

Publisher: World Scientific

ISBN: 9789811231858

Category: Computers

Page: 412

View: 528

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In the world of internet, wide adoption of computing devices dramatically reduces storage costs with easy access to huge amount of data, thus posing benefits and challenges to e-business amongst organizations.This unique compendium covers current status and practices of e-business among organizations, their challenges and future directions. It also includes studies of different perspectives and markets of e-business.The must-have volume will be a good reference text for professionals and organizations who are updating their e-business knowledge/skills and planning their e-business initiatives.
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Intelligence Based Medicine

Phenotype characterization is the next wave of innovation in radiology AI. With the hype of AI in radiology behind us, and the groundwork in place, we are moving to an exciting phase of practical implementations, expanding use cases, ...

Author: Anthony C. Chang

Publisher: Academic Press

ISBN: 9780128233382

Category: Medical

Page: 534

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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. Covers a wide range of relevant topics from cloud computing, intelligent agents, to deep reinforcement learning and internet of everything Presents the concepts of artificial intelligence and its applications in an easy-to-understand format accessible to clinicians and data scientists Discusses how artificial intelligence can be utilized in a myriad of subspecialties and imagined of the future Delineates the necessary elements for successful implementation of artificial intelligence in medicine and healthcare
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Impacts of Information Technology on Patient Care and Empowerment

Radiologists again at the forefront of innovation in medicine” published in 2018 by European Radiology Experimental reports: “one of the most promising areas of health innovation is the application of artificial intelligence (AI), ...

Author: McHaney, Roger W.

Publisher: IGI Global

ISBN: 9781799800484

Category: Medical

Page: 452

View: 718

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Modern technology has impacted healthcare and interactions between patients and healthcare providers through a variety of means including the internet, social media, mobile devices, and the internet of things. These new technologies have empowered, frustrated, educated, and confused patients by making educational materials more widely available and allowing patients to monitor their own vital signs and self-diagnose. Further analysis of these and future technologies is needed in order to provide new approaches to empowerment, reduce mistakes, and improve overall healthcare. Impacts of Information Technology on Patient Care and Empowerment is a critical scholarly resource that delves into patient access to information and the effect that access has on their relationship with healthcare providers and their health outcomes. Featuring a range of topics such as gamification, mobile computing, and risk analysis, this book is ideal for healthcare practitioners, doctors, nurses, surgeons, hospital staff, medical administrators, patient advocates, researchers, academicians, policymakers, and healthcare students.
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Research Anthology on Telemedicine Efficacy Adoption and Impact on Healthcare Delivery

Radiologists again at the forefront of innovation in medicine” published in 2018 by European Radiology Experimental reports: “one of the most promising areas of health innovation is the application of artificial intelligence (AI), ...

Author: Management Association, Information Resources

Publisher: IGI Global

ISBN: 9781799881070

Category: Medical

Page: 689

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Telemedicine, which involves electronic communications and software, provides the same clinical services to patients without the requirement of an in-person visit. Essentially, this is considered remote healthcare. Though telemedicine is not a new practice, it has become an increasingly popular form of healthcare delivery due to current events, including the COVID-19 pandemic. Not only are visits being moved onto virtual platforms, but additional materials and correspondence can remain in the digital sphere. Virtual lab results, digital imaging, medical diagnosis, and video consultations are just a few examples that encompass how telemedicine can be used for increased accessibility in healthcare delivery. With telemedicine being used in both the diagnosis and treatment of patients, technology in healthcare can be implemented at almost any phase of the patient experience. As healthcare delivery follows the digital shift, it is important to understand the technologies, benefits and challenges, and overall impacts of the remote healthcare experience. The Research Anthology on Telemedicine Efficacy, Adoption, and Impact on Healthcare Delivery presents the latest research on best practices for adopting telehealth into medical practices and its efficacy and solutions for the improvement of telemedicine, as well as addresses emerging challenges and opportunities, including issues such as securing patient data and providing healthcare accessibility to rural populations. Covering important themes that include doctor-patient relationships, tele-wound monitoring, and telemedicine regulations, this book is essential for healthcare professionals, doctors, medical students, academic and medical libraries, medical technologists, practitioners, stakeholders, researchers, academicians, and students interested in the emerging technological developments and solutions within the field of telemedicine.
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Artificial Intelligence for Computational Modeling of the Heart

The book first introduces the major aspects of multi-scale modeling of the heart, along with the compromises needed to achieve subject-specific simulations.

Author: Tommaso Mansi

Publisher: Academic Press

ISBN: 9780128168950

Category: Science

Page: 274

View: 241

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Artificial Intelligence for Computational Modeling of the Heart presents recent research developments towards streamlined and automatic estimation of the digital twin of a patient’s heart by combining computational modeling of heart physiology and artificial intelligence. The book first introduces the major aspects of multi-scale modeling of the heart, along with the compromises needed to achieve subject-specific simulations. Reader will then learn how AI technologies can unlock robust estimations of cardiac anatomy, obtain meta-models for real-time biophysical computations, and estimate model parameters from routine clinical data. Concepts are all illustrated through concrete clinical applications. Presents recent advances in computational modeling of heart function and artificial intelligence technologies for subject-specific applications Discusses AI-based technologies for robust anatomical modeling from medical images, data-driven reduction of multi-scale cardiac models, and estimations of physiological parameters from clinical data Illustrates the technology through concrete clinical applications and discusses potential impacts and next steps needed for clinical translation
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Foundations of Artificial Intelligence in Healthcare and Bioscience

5.1.1.1.21 AI's influence on medical (clinical) photography As was stated in the opening discussion on “Diagnostic Imaging” (page 129), “One of the most promising areas of health innovation is the application of AI in medical imaging.

Author: Louis J. Catania

Publisher: Academic Press

ISBN: 9780323860055

Category: Science

Page: 558

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Foundational Handbook of Artificial Intelligence in Healthcare and Bioscience: A User Friendly Guide for IT Professionals, Healthcare Providers, Researchers, and Clinicians uses color-coded illustrations to explain AI from its basics to modern technologies. Other sections cover extensive, current literature research and citations regarding AI’s role in the business and clinical aspects of health care. The book provides readers with a unique opportunity to appreciate AI technology in practical terms, understand its applications, and realize its profound influence on the clinical and business aspects of health care. Artificial Intelligence is a disruptive technology that is having a profound and growing influence on the business of health care as well as medical diagnosis, treatment, research and clinical delivery. The AI relationships in health care are complex, but understandable, especially when discussed and developed from their foundational elements through to their practical applications in health care. Provides an illustrated, foundational guide and comprehensive descriptions of what Artificial Intelligence is and how it functions Integrates a comprehensive discussion of AI applications in the business of health care Presents in-depth clinical and AI-related discussions on diagnostic medicine, therapeutic medicine, and prevalent disease categories with an emphasis on immunology and genetics, the two categories most influenced by AI Includes comprehensive coverage of a variety of AI treatment applications, including medical/pharmaceutical care, nursing care, stem cell therapies, robotics, and 10 common disease categories with AI applications
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Artificial Intelligence in Medical Imaging

For all of this to happen, an artificial intelligence ecosystem specific for diagnostic imaging must be developed and ... an appropriate balance between fostering innovation, moving new products to market, and patient safety [1].

Author: Erik R. Ranschaert

Publisher: Springer

ISBN: 9783319948782

Category: Medical

Page: 373

View: 873

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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.
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Regionalisation of Globalised Innovation

... 126, 127 medical diagnostic equipment: Esaote 160 medical imaging systems: Esaote 160 Medicon Valley 191, 193, ... K.: networking 67 MRT see magnetic resonance imaging system (MRT) Munich: AI innovation 41; collaboration 41; ...

Author: Ulrich Hilpert

Publisher: Routledge

ISBN: 9781134603930

Category: Business & Economics

Page: 272

View: 500

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While processes of innovation are increasingly realised globally, they can also take a highly regionalised expression. In this book, the global networks that link regions are set against the local aspects of innovation. With contributions from international experts, this book examines local 'Islands of Innovation' where research and industrial expertise are concentrated, along with areas where traditional industrial regions have passed through a process of innovative restructuring.
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