Computer-aided Design and Diagnosis Methods for Biomedical Applications
Computer-aided Design and Diagnosis Methods for Biomedical Applications

Author: Varun Bajaj

Publisher: CRC Press

Published: 2021-04-28

Total Pages: 392

ISBN-13: 1000374289

DOWNLOAD EBOOK

Computer-aided design (CAD) plays a key role in improving biomedical systems for various applications. It also helps in the detection, identification, predication, analysis, and classification of diseases, in the management of chronic conditions, and in the delivery of health services. This book discusses the uses of CAD to solve real-world problems and challenges in biomedical systems with the help of appropriate case studies and research simulation results. Aiming to overcome the gap between CAD and biomedical science, it describes behaviors, concepts, fundamentals, principles, case studies, and future directions for research, including the automatic identification of related disorders using CAD. Features: Proposes CAD for the study of biomedical signals to understand physiology and to improve healthcare systems’ ability to diagnose and identify health disorders. Presents concepts of CAD for biomedical modalities in different disorders. Discusses design and simulation examples, issues, and challenges. Illustrates bio-potential signals and their appropriate use in studying different disorders. Includes case studies, practical examples, and research directions. Computer-Aided Design and Diagnosis Methods for Biometrical Applications is aimed at researchers, graduate students in biomedical engineering, image processing, biomedical technology, medical imaging, and health informatics.

Opto-VLSI Devices and Circuits for Biomedical and Healthcare Applications
Opto-VLSI Devices and Circuits for Biomedical and Healthcare Applications

Author: Ankur Kumar

Publisher: CRC Press

Published: 2023-09-04

Total Pages: 218

ISBN-13: 1000932346

DOWNLOAD EBOOK

The text comprehensively discusses the latest Opto-VLSI devices and circuits useful for healthcare and biomedical applications. It further emphasizes the importance of smart technologies such as artificial intelligence, machine learning, and the internet of things for the biomedical and healthcare industries. Discusses advanced concepts in the field of electro-optics devices for medical applications. Presents optimization techniques including logical effort, particle swarm optimization and genetic algorithm to design Opto-VLSI devices and circuits. Showcases the concepts of artificial intelligence and machine learning for smart medical devices and data auto-collection for distance treatment. Covers advanced Opto-VLSI devices including a field-effect transistor and optical sensors, spintronic and photonic devices. Highlights application of flexible electronics in health monitoring and artificial intelligence integration for better medical devices. The text presents the advances in the fields of optics and VLSI and their applicability in diverse areas including biomedical engineering and the healthcare sector. It covers important topics such as FET biosensors, optical biosensors and advanced optical materials. It further showcases the significance of smart technologies such as artificial intelligence, machine learning and the internet of things for the biomedical and healthcare industries. It will serve as an ideal design book for senior undergraduate, graduate students, and academic researchers in the fields including electrical engineering, electronics and communication engineering, computer engineering and biomedical engineering.

Applications of Artificial Intelligence in Medical Imaging
Applications of Artificial Intelligence in Medical Imaging

Author: Abdulhamit Subasi

Publisher: Academic Press

Published: 2022-11-10

Total Pages: 381

ISBN-13: 0443184518

DOWNLOAD EBOOK

Applications of Artificial Intelligence in Medical Imaging provides the description of various biomedical image analysis in disease detection using AI that can be used to incorporate knowledge obtained from different medical imaging devices such as CT, X-ray, PET and ultrasound. The book discusses the use of AI for detection of several cancer types, including brain tumor, breast, pancreatic, rectal, lung colon, and skin. In addition, it explains how AI and deep learning techniques can be used to diagnose Alzheimer's, Parkinson's, COVID-19 and mental conditions. This is a valuable resource for clinicians, researchers and healthcare professionals who are interested in learning more about AI and its impact in medical/biomedical image analysis. Discusses new deep learning algorithms for image analysis and how they are used for medical images Provides several examples for each imaging technique, along with their application areas so that readers can rely on them as a clinical decision support system Describes how new AI tools may contribute significantly to the successful enhancement of a single patient's clinical knowledge to improve treatment outcomes

Machine Learning in Healthcare
Machine Learning in Healthcare

Author: Bikesh Kumar Singh

Publisher: CRC Press

Published: 2022-02-17

Total Pages: 253

ISBN-13: 1000540375

DOWNLOAD EBOOK

Artificial intelligence (AI) and machine learning (ML) techniques play an important role in our daily lives by enhancing predictions and decision-making for the public in several fields such as financial services, real estate business, consumer goods, social media, etc. Despite several studies that have proved the efficacy of AI/ML tools in providing improved healthcare solutions, it has not gained the trust of health-care practitioners and medical scientists. This is due to poor reporting of the technology, variability in medical data, small datasets, and lack of standard guidelines for application of AI. Therefore, the development of new AI/ML tools for various domains of medicine is an ongoing field of research. Machine Learning in Healthcare: Fundamentals and Recent Applications discusses how to build various ML algorithms and how they can be applied to improve healthcare systems. Healthcare applications of AI are innumerable: medical data analysis, early detection and diagnosis of disease, providing objective-based evidence to reduce human errors, curtailing inter- and intra-observer errors, risk identification and interventions for healthcare management, real-time health monitoring, assisting clinicians and patients for selecting appropriate medications, and evaluating drug responses. Extensive demonstrations and discussion on the various principles of machine learning and its application in healthcare is provided, along with solved examples and exercises. This text is ideal for readers interested in machine learning without any background knowledge and looking to implement machine-learning models for healthcare systems.

Accelerating Strategic Changes for Digital Transformation in the Healthcare Industry
Accelerating Strategic Changes for Digital Transformation in the Healthcare Industry

Author: Patricia Ordonez de Pablos

Publisher: Elsevier

Published: 2023-05-30

Total Pages: 426

ISBN-13: 0443153000

DOWNLOAD EBOOK

Accelerating Strategic Changes for Digital Transformation in the Healthcare Industry discusses innovative conceptual frameworks, tools and solutions to tackle the challenges of mitigating major disruption caused by COVID-19 in the healthcare sector and society. It emphasizes global case studies and empirical studies, providing a comprehensive view of best lessons on digital tools to manage the health crisis. The book focuses on the role of advances in digital and collaborative technologies to offer rapid and effective tools for better health solutions for new and emerging health problems. Researchers, students, policymakers and members of the biomedical and medical fields will find this information invaluable. Specially, it pays attention to how information technologies help us in the current global health emergency and the coronavirus epidemic response, gaining more understanding of the new coronavirus and helping to contain the outbreak. In addition, it explores how these new tools and digital health solutions can support the economic and social recovery in the post-pandemic world. Discusses best experiences, tools and solutions provided by IT to solve the global disruption caused by the COVID-19 pandemic in societies, healthcare infrastructures and health workers Presents case studies with experiences of applications of digital healthcare solutions from around the world Encompasses the point of views of renown researchers and academics globally that are working collaboratively to explore new views and frameworks to develop solutions for emergent problems in the healthcare sector

Intelligent Data Analysis for Biomedical Applications
Intelligent Data Analysis for Biomedical Applications

Author: D. Jude Hemanth

Publisher: Academic Press

Published: 2019-03-15

Total Pages: 297

ISBN-13: 0128156430

DOWNLOAD EBOOK

Intelligent Data Analysis for Biomedical Applications: Challenges and Solutions presents specialized statistical, pattern recognition, machine learning, data abstraction and visualization tools for the analysis of data and discovery of mechanisms that create data. It provides computational methods and tools for intelligent data analysis, with an emphasis on problem-solving relating to automated data collection, such as computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring, and more. This book provides useful references for educational institutions, industry professionals, researchers, scientists, engineers and practitioners interested in intelligent data analysis, knowledge discovery, and decision support in databases. - Provides the methods and tools necessary for intelligent data analysis and gives solutions to problems resulting from automated data collection - Contains an analysis of medical databases to provide diagnostic expert systems - Addresses the integration of intelligent data analysis techniques within biomedical information systems

Data Intelligence and Cognitive Informatics
Data Intelligence and Cognitive Informatics

Author: I. Jeena Jacob

Publisher: Springer Nature

Published: 2022-12-02

Total Pages: 901

ISBN-13: 9811960046

DOWNLOAD EBOOK

The book is a collection of peer-reviewed best selected research papers presented at the International Conference on Data Intelligence and Cognitive Informatics (ICDICI 2021), organized by SCAD College of Engineering and Technology, Tirunelveli, India, during July 6–7, 2022. This book discusses new cognitive informatics tools, algorithms and methods that mimic the mechanisms of the human brain which lead to an impending revolution in understating a large amount of data generated by various smart applications. The book includes novel work in data intelligence domain which combines with the increasing efforts of artificial intelligence, machine learning, deep learning and cognitive science to study and develop a deeper understanding of the information processing systems.