Computational Intelligence For Oncology And Neurological Disorders

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Computational Intelligence for Oncology and Neurological Disorders

Author : Mrutyunjaya Panda
Publisher : CRC Press
ISBN 13 : 1040085628
Total Pages : 292 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Computational Intelligence for Oncology and Neurological Disorders by : Mrutyunjaya Panda

Download or read book Computational Intelligence for Oncology and Neurological Disorders written by Mrutyunjaya Panda and published by CRC Press. This book was released on 2024-07-15 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the advent of computational intelligence-based approaches, such as bio-inspired techniques, and the availability of clinical data from various complex experiments, medical consultants, researchers, neurologists, and oncologists, there is huge scope for CI-based applications in medical oncology and neurological disorders. This book focuses on interdisciplinary research in this field, bringing together medical practitioners dealing with neurological disorders and medical oncology along with CI investigators. The book collects high-quality original contributions, containing the latest developments or applications of practical use and value, presenting interdisciplinary research and review articles in the field of intelligent systems for computational oncology and neurological disorders. Drawing from work across computer science, physics, mathematics, medical science, psychology, cognitive science, oncology, and neurobiology among others, it combines theoretical, applied, computational, experimental, and clinical research. It will be of great interest to any neurology or oncology researchers focused on computational approaches.

Computational Intelligence in Oncology

Author : Khalid Raza
Publisher : Springer Nature
ISBN 13 : 9811692211
Total Pages : 474 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Computational Intelligence in Oncology by : Khalid Raza

Download or read book Computational Intelligence in Oncology written by Khalid Raza and published by Springer Nature. This book was released on 2022-03-01 with total page 474 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book encapsulates recent applications of CI methods in the field of computational oncology, especially cancer diagnosis, prognosis, and its optimized therapeutics. The cancer has been known as a heterogeneous disease categorized in several different subtypes. According to WHO’s recent report, cancer is a leading cause of death worldwide, accounting for over 10 million deaths in the year 2020. Therefore, its early diagnosis, prognosis, and classification to a subtype have become necessary as it facilitates the subsequent clinical management and therapeutics plan. Computational intelligence (CI) methods, including artificial neural networks (ANNs), fuzzy logic, evolutionary computations, various machine learning and deep learning, and nature-inspired algorithms, have been widely utilized in various aspects of oncology research, viz. diagnosis, prognosis, therapeutics, and optimized clinical management. Appreciable progress has been made toward the understanding the hallmarks of cancer development, progression, and its effective therapeutics. However, notwithstanding the extrinsic and intrinsic factors which lead to drastic increment in incidence cases, the detection, diagnosis, prognosis, and therapeutics remain an apex challenge for the medical fraternity. With the advent in CI-based approaches, including nature-inspired techniques, and availability of clinical data from various high-throughput experiments, medical consultants, researchers, and oncologists have seen a hope to devise and employ CI in various aspects of oncology. The main aim of the book is to occupy state-of-the-art applications of CI methods which have been derived from core computer sciences to back medical oncology. This edited book covers artificial neural networks, fuzzy logic and fuzzy inference systems, evolutionary algorithms, various nature-inspired algorithms, and hybrid intelligent systems which are widely appreciated for the diagnosis, prognosis, and optimization of therapeutics of various cancers. Besides, this book also covers multi-omics exploration, gene expression analysis, gene signature identification of cancers, genomic characterization of tumors, anti-cancer drug design and discovery, drug response prediction by means of CI, and applications of IoT, IoMT, and blockchain technology in cancer research.

Augmenting Neurological Disorder Prediction and Rehabilitation Using Artificial Intelligence

Author : Anitha S. Pillai
Publisher : Academic Press
ISBN 13 : 0323886264
Total Pages : 356 pages
Book Rating : 4.3/5 (238 download)

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Book Synopsis Augmenting Neurological Disorder Prediction and Rehabilitation Using Artificial Intelligence by : Anitha S. Pillai

Download or read book Augmenting Neurological Disorder Prediction and Rehabilitation Using Artificial Intelligence written by Anitha S. Pillai and published by Academic Press. This book was released on 2022-02-23 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: Augmenting Neurological Disorder Prediction and Rehabilitation Using Artificial Intelligence focuses on how the neurosciences can benefit from advances in AI, especially in areas such as medical image analysis for the improved diagnosis of Alzheimer's disease, early detection of acute neurologic events, prediction of stroke, medical image segmentation for quantitative evaluation of neuroanatomy and vasculature, diagnosis of Alzheimer's Disease, autism spectrum disorder, and other key neurological disorders. Chapters also focus on how AI can help in predicting stroke recovery, and the use of Machine Learning and AI in personalizing stroke rehabilitation therapy. Other sections delve into Epilepsy and the use of Machine Learning techniques to detect epileptogenic lesions on MRIs and how to understand neural networks. - Provides readers with an understanding on the key applications of artificial intelligence and machine learning in the diagnosis and treatment of the most important neurological disorders - Integrates recent advancements of artificial intelligence and machine learning to the evaluation of large amounts of clinical data for the early detection of disorders such as Alzheimer's Disease, autism spectrum disorder, Multiple Sclerosis, headache disorder, Epilepsy, and stroke - Provides readers with illustrative examples of how artificial intelligence can be applied to outcome prediction, neurorehabilitation and clinical exams, including a wide range of case studies in predicting and classifying neurological disorders

Artificial Intelligence in Clinical Practice

Author : Chayakrit Krittanawong
Publisher : Elsevier
ISBN 13 : 0443156891
Total Pages : 550 pages
Book Rating : 4.4/5 (431 download)

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Book Synopsis Artificial Intelligence in Clinical Practice by : Chayakrit Krittanawong

Download or read book Artificial Intelligence in Clinical Practice written by Chayakrit Krittanawong and published by Elsevier. This book was released on 2023-09-29 with total page 550 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence in Clinical Practice: How AI Technologies Impact Medical Research and Clinics compiles current research on Artificial Intelligence within medical subspecialties, helping practitioners with diagnosis, clinical decision-making, disease prediction, prevention, and the facilitation of precision medicine. The book defines the basic concepts of big data and AI in medicine and highlights current applications, challenges, ethical issues, and biases. Each chapter discusses AI applied to a specific medical subspecialty, including primary care, preventive medicine, general internal medicine, radiology, pathology, infectious disease, gastroenterology, cardiology, hematology, oncology, dermatology, ophthalmology, mental health, neurology, pulmonary, critical care, rheumatology, surgery, and OB-GYN. This is a valuable resource for clinicians, students, researchers and members of medical and biomedical fields who are interested in learning more about artificial intelligence technologies and their applications in medicine. Provides the history and overview of the various modalities of AI and their applications within each field of medicine Discusses current AI-based medical research, including landmark trials within each field of medicine Addresses the current knowledge gaps that clinicians commonly face that prevent the application of AI-based research to clinical practice Encompasses examples of specific cases and discusses challenges and biases associated with AI

Artificial Intelligence in Oncology Drug Discovery and Development

Author : John Cassidy
Publisher : BoD – Books on Demand
ISBN 13 : 1789846897
Total Pages : 194 pages
Book Rating : 4.7/5 (898 download)

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Book Synopsis Artificial Intelligence in Oncology Drug Discovery and Development by : John Cassidy

Download or read book Artificial Intelligence in Oncology Drug Discovery and Development written by John Cassidy and published by BoD – Books on Demand. This book was released on 2020-09-09 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: There exists a profound conflict at the heart of oncology drug development. The efficiency of the drug development process is falling, leading to higher costs per approved drug, at the same time personalised medicine is limiting the target market of each new medicine. Even as the global economic burden of cancer increases, the current paradigm in drug development is unsustainable. In this book, we discuss the development of techniques in machine learning for improving the efficiency of oncology drug development and delivering cost-effective precision treatment. We consider how to structure data for drug repurposing and target identification, how to improve clinical trials and how patients may view artificial intelligence.

Reviews in cancer imaging and image-directed interventions

Author : Omar Sultan Al-Kadi
Publisher : Frontiers Media SA
ISBN 13 : 2832520618
Total Pages : 200 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Reviews in cancer imaging and image-directed interventions by : Omar Sultan Al-Kadi

Download or read book Reviews in cancer imaging and image-directed interventions written by Omar Sultan Al-Kadi and published by Frontiers Media SA. This book was released on 2023-05-25 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Artificial Intelligence for Neurological Disorders

Author : Ajith Abraham
Publisher : Academic Press
ISBN 13 : 0323902782
Total Pages : 434 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Artificial Intelligence for Neurological Disorders by : Ajith Abraham

Download or read book Artificial Intelligence for Neurological Disorders written by Ajith Abraham and published by Academic Press. This book was released on 2022-09-23 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence for Neurological Disorders provides a comprehensive resource of state-of-the-art approaches for AI, big data analytics and machine learning-based neurological research. The book discusses many machine learning techniques to detect neurological diseases at the cellular level, as well as other applications such as image segmentation, classification and image indexing, neural networks and image processing methods. Chapters include AI techniques for the early detection of neurological disease and deep learning applications using brain imaging methods like EEG, MEG, fMRI, fNIRS and PET for seizure prediction or neuromuscular rehabilitation. The goal of this book is to provide readers with broad coverage of these methods to encourage an even wider adoption of AI, Machine Learning and Big Data Analytics for problem-solving and stimulating neurological research and therapy advances. - Discusses various AI and ML methods to apply for neurological research - Explores Deep Learning techniques for brain MRI images - Covers AI techniques for the early detection of neurological diseases and seizure prediction - Examines cognitive therapies using AI and Deep Learning methods

Integrated Diagnostics and Theranostics of Thyroid Diseases

Author : Luca Giovanella
Publisher : Springer Nature
ISBN 13 : 3031352130
Total Pages : 174 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Integrated Diagnostics and Theranostics of Thyroid Diseases by : Luca Giovanella

Download or read book Integrated Diagnostics and Theranostics of Thyroid Diseases written by Luca Giovanella and published by Springer Nature. This book was released on 2023-09-04 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book provides basic concepts on Integrated Diagnostics and Theranostics with special emphasis on different human thyroid diseases. Thyroid diseases are increasingly detected (incidentally in many cases) but are clinically negligible in a significant proportion of patients. Accordingly, it is urgent to move from the simple disease detection to a reliable disease characterization in order to concentrate efforts on patients in need of tailored disease management. The current scenario of in vitro and in vivo diagnostics, is fastly moving toward the Integrated Diagnostics (i.e. convergence of imaging, pathology and laboratory tests with advanced information technology). Furthermore, the integration of different information will aid clinicians to properly select treatments and stratify patients’ prognosis over time. Theranostics is a perfect paradigm of such integrated approach and radioiodine, indicated for benign and malignant thyroid disease management, was the first and is still the mostly used theranostic agent in medicine. Featuring basics concepts and clinical cases discussions the Atlas will be an invaluable tool for clinicians, laboratory specialists, imaging physicians and biomedical technologists involved in diagnosis and therapy of thyroid diseases.

Radiomics and Radiogenomics in Neuro-Oncology

Author : Sanjay Saxena
Publisher : Elsevier
ISBN 13 : 0443185077
Total Pages : 330 pages
Book Rating : 4.4/5 (431 download)

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Book Synopsis Radiomics and Radiogenomics in Neuro-Oncology by : Sanjay Saxena

Download or read book Radiomics and Radiogenomics in Neuro-Oncology written by Sanjay Saxena and published by Elsevier. This book was released on 2024-03-29 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neuro-oncology broadly encompasses life-threatening brain and spinal cord malignancies, including primary lesions and lesions metastasizing to the central nervous system. It is well suited for diagnosis, classification, and prognosis as well as assessing treatment response. Radiomics and Radiogenomics (R-n-R) have become two central pillars in precision medicine for neuro-oncology.Radiomics is an approach to medical imaging used to extract many quantitative imaging features using different data characterization algorithms, while Radiogenomics, which has recently emerged as a novel mechanism in neuro-oncology research, focuses on the relationship of imaging phenotype and genetics of cancer. Due to the exponential progress of different computational algorithms, AI methods are composed to advance the precision of diagnostic and therapeutic approaches in neuro-oncology.The field of radiomics has been and definitely will remain at the lead of this emerging discipline due to its efficiency in the field of neuro-oncology. Several AI approaches applied to conventional and advanced medical imaging data from the perspective of radiomics are very efficient for tasks such as survival prediction, heterogeneity analysis of cancer, pseudo progression analysis, and infiltrating tumors. Radiogenomics advances our understanding and knowledge of cancer biology, letting noninvasive sampling of the molecular atmosphere with high spatial resolution along with a systems-level understanding of causal heterogeneous molecular and cellular processes. These AI-based R-n-R tools have the potential to stratify patients into more precise initial diagnostic and therapeutic pathways and permit better dynamic treatment monitoring in this period of personalized medicine. While extremely promising, the clinical acceptance of R-n-R methods and approaches will primarily hinge on their resilience to non-standardization across imaging protocols and their capability to show reproducibility across large multi-institutional cohorts.Radiomics and Radiogenomics in Neuro-Oncology: An Artificial Intelligence Paradigm provides readers with a broad and detailed framework for R-n-R approaches with AI in neuro-oncology, the description of cancer biology and genomics study of cancer, and the methods usually implemented for analyzing. Readers will also learn about the current solutions R-n-R can offer for personalized treatments of patients, limitations, and prospects. There is comprehensive coverage of information based on radiomics, radiogenomics, cancer biology, and medical image analysis viewpoints on neuro-oncology, so this in-depth coverage is divided into two Volumes.Volume 1: Radiogenomics Flow Using Artificial Intelligence provides coverage of genomics and molecular study of brain cancer, medical imaging modalities and analysis in neuro-oncology, and prognostic and predictive models using radiomics.Volume 2: Genetics and Clinical Applications provides coverage of imaging signatures for brain cancer molecular characteristics, clinical applications of R-n-R in neuro-oncology, and Machine Learning and Deep Learning AI approaches for R-n-R in neuro-oncology. - Includes coverage on the foundational concepts of the emerging fields of radiomics and radiogenomics - Covers neural engineering modeling and AI algorithms for the imaging, diagnosis, and predictive modeling of neuro-oncology - Presents crucial technologies and software platforms, along with advanced brain imaging techniques such as quantitative imaging using CT, PET, and MRI - Provides in-depth technical coverage of computational modeling techniques and applied mathematics for brain tumor segmentation and radiomics features such as extraction and selection

Computational Intelligence in Healthcare

Author : Meenu Gupta
Publisher : CRC Press
ISBN 13 : 1000829448
Total Pages : 227 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Computational Intelligence in Healthcare by : Meenu Gupta

Download or read book Computational Intelligence in Healthcare written by Meenu Gupta and published by CRC Press. This book was released on 2023-02-10 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational intelligence (CI) refers to the ability of computers to accomplish tasks that are normally completed by intelligent beings such as humans and animals. Artificial intelligent systems offer great improvement in healthcare systems by providing more intelligent and convenient solutions and services assisted by machine learning, wireless communications, data analytics, cognitive computing, and mobile computing. Modern health treatments are faced with the challenge of acquiring, analysing, and applying the large amount of knowledge necessary to solve complex problems. AI techniques are being effectively used in the field of healthcare systems by extracting the useful information from the vast amounts of data by applying human expertise and CI methods, such as fuzzy models, artificial neural networks, evolutionary algorithms, and probabilistic methods which have recently emerged as promising tools for the development and application of intelligent systems in healthcare practice. This book starts with the fundamentals of computer intelligence and the techniques and procedures associated with them. Contained in the book are state-of-the-art CI methods and other allied techniques used in healthcare systems as well as advances in different CI methods that confront the problem of effective data analysis and storage faced by healthcare institutions. The objective of this book is to provide the latest research related to the healthcare sector to researchers and engineers with a platform encompassing state-of-the-art innovations, research and design, and the implementation of methodologies.

Advances in Computational Intelligence for the Healthcare Industry 4.0

Author : Shah, Imdad Ali
Publisher : IGI Global
ISBN 13 :
Total Pages : 389 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Advances in Computational Intelligence for the Healthcare Industry 4.0 by : Shah, Imdad Ali

Download or read book Advances in Computational Intelligence for the Healthcare Industry 4.0 written by Shah, Imdad Ali and published by IGI Global. This book was released on 2024-04-26 with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the dynamic environment of healthcare, the fusion of Computational Intelligence and Healthcare Industry 4.0 has enabled remarkable advancements in disease detection and analysis. However, a critical challenge persists – the limitations of current computational intelligence approaches in dealing with small sample sizes. This setback hampers the performance of these innovative models, hindering their potential impact on medical applications. As we stand at the crossroads of technological innovation and healthcare evolution, the need for a solution becomes paramount. Advances in Computational Intelligence for the Healthcare Industry 4.0 is a comprehensive guide addressing the very heart of this challenge. Designed for academics, researchers, healthcare professionals, and stakeholders in Healthcare Industry 4.0, this book serves as a source of innovation. It not only illuminates the complexities of computational intelligence in healthcare but also provides a roadmap for overcoming the limitations posed by small sample sizes. From fundamental principles to innovative concepts, this book offers a holistic perspective, shaping the future of healthcare through the lens of computational intelligence and Healthcare Industry 4.0.

Computational Intelligence in Healthcare Applications

Author : Rajeev Agrawal
Publisher : Academic Press
ISBN 13 : 0323993745
Total Pages : 376 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Computational Intelligence in Healthcare Applications by : Rajeev Agrawal

Download or read book Computational Intelligence in Healthcare Applications written by Rajeev Agrawal and published by Academic Press. This book was released on 2022-07-14 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Intelligence in Healthcare Applications discusses a variety of techniques designed to represent, enhance and empower inter-domain research based on computational intelligence in healthcare. The book serves as a reference for the pervasive healthcare domain which takes into consideration new convergent computing and other applications. The book discusses topics such as mathematical modeling in medical imaging, predictive modeling based on artificial intelligence and deep learning, smart healthcare and wearable devices, and evidence-based predictive modeling. In addition, it discusses computer-aided diagnostic for clinical inferences and pervasive and ubiquitous techniques in healthcare. This book is a valuable resource for graduate students and researchers in medical informatics, however, it is also ideal for members of the biomedical field and healthcare industry who are interested in learning more about novel technologies and their applications in the field. - Presents advanced procedures to address and enhance available diagnostic methods - Focuses on identifying challenges and solutions through an integrated approach that shapes a path for new research dimensions - Discusses the implementation of deep learning techniques for the detection and classification of diseases

Artificial Intelligence in Healthcare

Author : Adam Bohr
Publisher : Academic Press
ISBN 13 : 0128184396
Total Pages : 385 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Artificial Intelligence in Healthcare by : Adam Bohr

Download or read book Artificial Intelligence in Healthcare written by Adam Bohr and published by Academic Press. This book was released on 2020-06-21 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Proceedings of International Conference on Computational Intelligence, Data Science and Cloud Computing

Author : Lopa Mandal
Publisher : Springer Nature
ISBN 13 : 9811916578
Total Pages : 466 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Proceedings of International Conference on Computational Intelligence, Data Science and Cloud Computing by : Lopa Mandal

Download or read book Proceedings of International Conference on Computational Intelligence, Data Science and Cloud Computing written by Lopa Mandal and published by Springer Nature. This book was released on 2022-08-17 with total page 466 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes selected papers presented at International Conference on Computational Intelligence, Data Science,, and Cloud Computing (IEM-ICDC 2021), organized by the Department of Information Technology Institute of Engineering and Management, Kolkata, India, during December 22 – 24, 2021. It covers substantial new findings about AI and robotics, image processing and NLP, cloud computing and big data analytics as well as in cyber-security, blockchain and IoT, and various allied fields. The book serves as a reference resource for researchers and practitioners in academia and industry.

Progress in Advanced Computing and Intelligent Engineering

Author : Chhabi Rani Panigrahi
Publisher : Springer Nature
ISBN 13 : 9811563535
Total Pages : 516 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Progress in Advanced Computing and Intelligent Engineering by : Chhabi Rani Panigrahi

Download or read book Progress in Advanced Computing and Intelligent Engineering written by Chhabi Rani Panigrahi and published by Springer Nature. This book was released on 2020-11-09 with total page 516 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features high-quality research papers presented at the 4th International Conference on Advanced Computing and Intelligent Engineering (ICACIE 2019), Department of Computer Science, Rama Devi Women’s University, Bhubaneswar, Odisha, India. It includes sections describing technical advances and contemporary research in the fields of advanced computing and intelligent engineering, which are based on the presented articles. Intended for postgraduate students and researchers working in the discipline of computer science and engineering, the book also appeals to researchers in the domain of electronics as it covers hardware technologies and future communication technologies.

Computational Intelligence and Healthcare Informatics

Author : Om Prakash Jena
Publisher : John Wiley & Sons
ISBN 13 : 1119818680
Total Pages : 434 pages
Book Rating : 4.1/5 (198 download)

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Book Synopsis Computational Intelligence and Healthcare Informatics by : Om Prakash Jena

Download or read book Computational Intelligence and Healthcare Informatics written by Om Prakash Jena and published by John Wiley & Sons. This book was released on 2021-10-19 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: COMPUTATIONAL INTELLIGENCE and HEALTHCARE INFORMATICS The book provides the state-of-the-art innovation, research, design, and implements methodological and algorithmic solutions to data processing problems, designing and analysing evolving trends in health informatics, intelligent disease prediction, and computer-aided diagnosis. Computational intelligence (CI) refers to the ability of computers to accomplish tasks that are normally completed by intelligent beings such as humans and animals. With the rapid advance of technology, artificial intelligence (AI) techniques are being effectively used in the fields of health to improve the efficiency of treatments, avoid the risk of false diagnoses, make therapeutic decisions, and predict the outcome in many clinical scenarios. Modern health treatments are faced with the challenge of acquiring, analyzing and applying the large amount of knowledge necessary to solve complex problems. Computational intelligence in healthcare mainly uses computer techniques to perform clinical diagnoses and suggest treatments. In the present scenario of computing, CI tools present adaptive mechanisms that permit the understanding of data in difficult and changing environments. The desired results of CI technologies profit medical fields by assembling patients with the same types of diseases or fitness problems so that healthcare facilities can provide effectual treatments. This book starts with the fundamentals of computer intelligence and the techniques and procedures associated with it. Contained in this book are state-of-the-art methods of computational intelligence and other allied techniques used in the healthcare system, as well as advances in different CI methods that will confront the problem of effective data analysis and storage faced by healthcare institutions. The objective of this book is to provide researchers with a platform encompassing state-of-the-art innovations; research and design; implementation of methodological and algorithmic solutions to data processing problems; and the design and analysis of evolving trends in health informatics, intelligent disease prediction and computer-aided diagnosis. Audience The book is of interest to artificial intelligence and biomedical scientists, researchers, engineers and students in various settings such as pharmaceutical & biotechnology companies, virtual assistants developing companies, medical imaging & diagnostics centers, wearable device designers, healthcare assistance robot manufacturers, precision medicine testers, hospital management, and researchers working in healthcare system.

Foundations of Artificial Intelligence in Healthcare and Bioscience

Author : Louis J. Catania
Publisher : Academic Press
ISBN 13 : 0323860052
Total Pages : 562 pages
Book Rating : 4.3/5 (238 download)

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Book Synopsis Foundations of Artificial Intelligence in Healthcare and Bioscience by : Louis J. Catania

Download or read book Foundations of Artificial Intelligence in Healthcare and Bioscience written by Louis J. Catania and published by Academic Press. This book was released on 2020-11-25 with total page 562 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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