A Systematic Survey of Computer-Aided Diagnosis in Medicine: Past and Present Developments PDF Download

Author: Juri Yanase
Publisher: Infinite Study
ISBN:
Category : Mathematics
Languages : en
Pages : 51

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Book Description
Computer-aided diagnosis (CAD) in medicine is the result of a large amount of effort expended in the interface of medicine and computer science. As some CAD systems in medicine try to emulate the diagnostic decision-making process of medical experts, they can be considered as expert systems in medicine.

Author: Juri Yanase
Publisher: Infinite Study
ISBN:
Category : Mathematics
Languages : en
Pages : 47

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Book Description
Computer-aided diagnosis (CAD) in medicine is the result of a large amount of effort expended in the interface of medicine and computer science. As some CAD systems in medicine try to emulate the diagnostic decision-making process of medical experts, they can be considered as expert systems in medicine. Furthermore, CAD systems in medicine may process clinical data that can be complex and/or massive in size.

Author: Rik Das
Publisher: CRC Press
ISBN: 1000414698
Category : Computers
Languages : en
Pages : 219

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Book Description
An integrated interdisciplinary approach to address complex computer aided diagnosis problems and limitations. Elucidates a rich summary of the state-of-the-art tools and techniques related to automated detection and diagnosis of life threatening diseases including pandemics. Machine learning and deep learning methodologies on evolving accurate and precise early detection and medical diagnosis systems. Information presented in an accessible way for students, researchers and medical practitioners.

Author: Swati V. Shinde
Publisher: CRC Press
ISBN: 100078651X
Category : Computers
Languages : en
Pages : 360

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Book Description
This book covers advancements and future challenges in biomedical application development using disruptive technologies like artificial intelligence (AI), the Internet of Things (IoT), and signal processing. The book is divided into four main sections, namely, medical image processing using AI; IoT and biomedical devices; biomedical signal processing; and electronic health records, including advances in biomedical systems. It includes different case studies of biomedical applications using different AI algorithms related to diabetes, skin cancer, breast cancer, cervical cancer, and osteoarthritis. Features: Covers different technologies like AI, IoT, and signal processing in the context of biomedical applications. Reviews medical image analysis, disease detection, and prediction. Comprehends the advantage of recent technologies for medical record keeping through electronic health records (EHRs). Presents state-of-the-art research in the field of biomedical engineering using various physiological signals. Explores different bio sensors used in healthcare applications using IOT. This book is aimed at graduate students and researchers in AI, medical imaging, biomedical engineering, and IoT.

Author: Lazaros Iliadis
Publisher: Springer Nature
ISBN: 3030805689
Category : Technology & Engineering
Languages : en
Pages : 521

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Book Description
This book contains the proceedings of the 22nd EANN “Engineering Applications of Neural Networks” 2021 that comprise of research papers on both theoretical foundations and cutting-edge applications of artificial intelligence. Based on the discussed research areas, emphasis is given in advances of machine learning (ML) focusing on the following algorithms-approaches: Augmented ML, autoencoders, adversarial neural networks, blockchain-adaptive methods, convolutional neural networks, deep learning, ensemble methods, learning-federated learning, neural networks, recurrent – long short-term memory. The application domains are related to: Anomaly detection, bio-medical AI, cyber-security, data fusion, e-learning, emotion recognition, environment, hyperspectral imaging, fraud detection, image analysis, inverse kinematics, machine vision, natural language, recommendation systems, robotics, sentiment analysis, simulation, stock market prediction.

Author: Khalid Shaikh
Publisher: Springer Nature
ISBN: 3030592081
Category : Technology & Engineering
Languages : en
Pages : 107

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Book Description
This book provides an introduction to next generation smart screening technology for medical image analysis that combines artificial intelligence (AI) techniques with digital screening to develop innovative methods for detecting breast cancer. The authors begin with a discussion of breast cancer, its characteristics and symptoms, and the importance of early screening.They then provide insight on the role of artificial intelligence in global healthcare, screening methods for breast cancer using mammogram, ultrasound, and thermogram images, and the potential benefits of using AI-based systems for clinical screening to more accurately detect, diagnose, and treat breast cancer. Discusses various existing screening methods for breast cancer Presents deep information on artificial intelligence-based screening methods Discusses cancer treatment based on geographical differences and cultural characteristics

Author: Ankur Saxena
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110762080
Category : Computers
Languages : en
Pages : 344

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Book Description
This work presents the latest development in the field of computational intelligence to advance Big Data and Cloud Computing concerning applications in medical diagnosis. As forum for academia and professionals it covers state-of-the-art research challenges and issues in the digital information & knowledge management and the concerns along with the solutions adopted in these fields.

Author: Comite, Ubaldo
Publisher: IGI Global
ISBN: 1668460459
Category : Medical
Languages : en
Pages : 439

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Book Description
Over the years, the complexity of health systems has grown due to the continuous and constant introduction of new technologies—process, production, and organizational—which have increased the number of stakeholders involved, creating new relationships and new channels through which the various subjects interact. It is necessary to highlight the critical issues and opportunities relating to the innovation of the organization and governance of health services as well as the complementarity of management and leadership. The new health needs require a Copernican revolution in the organization of services: not only offering individual services but also effective permanent care of the patient within institutional and professional assistance networks and effective, efficient, and appropriate pathways. This requires that on an organizational and managerial level, the internal relationships between the branches of the healthcare companies must be reviewed and closer relationships built with the managing bodies of the social and welfare services. The Handbook of Research on Complexities, Management, and Governance in Healthcare proceeds with a reasoned reconstruction of healthcare issues through the problems connected to the complexities, management, and governance in healthcare in light of the recent COVID-19 pandemic. It discusses both the ethical side of health and the economic, organizational, and legal content. Covering topics such as healthcare innovation, taxation for public health, and waste disposal, this major reference work is a comprehensive resource for healthcare administration, directors, executive boards, lawyers, sociologists, government officials and policymakers, students and faculty of higher education, libraries, researchers, and academicians.

Author: Abdulmotaleb El Saddik
Publisher: Elsevier
ISBN: 0323950957
Category : Computers
Languages : en
Pages : 380

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Book Description
Digital Twins for Healthcare: Design, Challenges and Solutions establishes the state-of-art in the specification, design, creation, deployment and exploitation of digital twins' technologies for healthcare and wellbeing. A digital twin is a digital replication of a living or non-living physical entity. When data is transmitted seamlessly, it bridges the physical and virtual worlds, thus allowing the virtual entity to exist simultaneously with the physical entity. A digital twin facilitates the means to understand, monitor, and optimize the functions of the physical entity and provide continuous feedback. It can be used to improve citizens' quality of life and wellbeing in smart cities and the virtualization of industrial processes. Presents the fundamentals of digital twin technology in healthcare Facilitates new approaches for healthcare industry Explores different use cases of digital twins in healthcare

Author:
Publisher: BoD – Books on Demand
ISBN: 1803555610
Category : Medical
Languages : en
Pages : 310

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Book Description
Biosignal processing is an important tool in medicine. As such, this book presents a comprehensive overview of novel methods in biosignal theory, biosignal processing algorithms and applications, and biosignal sensors. Chapters examine biosignal processing for glucose detection, tissue engineering, electrocardiogram processing, soft tissue tomography, and much more. The book also discusses applications of artificial intelligence and machine learning for biosignal processing.