Ai Driven Biomedical Data Science And Signal Processing
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Ai Driven Biomedical Data Science And Signal Processing
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Author : NISHIT AGARWAL PROF.(DR.) ARVIND KUMAR
language : en
Publisher: DeepMisti Publication
Release Date : 2024-12-22
Ai Driven Biomedical Data Science And Signal Processing written by NISHIT AGARWAL PROF.(DR.) ARVIND KUMAR and has been published by DeepMisti Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-22 with Computers categories.
In the age of rapid technological advancements, the fusion of artificial intelligence and biomedical data science has revolutionized how we approach healthcare and life sciences. This book, AI-Driven Biomedical Data Science and Signal Processing, is designed to illuminate the transformative potential of AI in unraveling complex biomedical challenges and optimizing signal processing for medical applications. Our objective is to bridge the gap between cutting-edge AI techniques and their practical applications in the biomedical domain, equipping readers with the knowledge and tools needed to excel in this evolving field. This book offers a comprehensive exploration of the methodologies, frameworks, and technologies that drive innovation in biomedical data analysis and signal interpretation. From fundamental concepts to sophisticated applications, we delve into essential strategies for processing, analyzing, and interpreting diverse biomedical datasets. Whether you are a student, researcher, healthcare professional, or industry expert, this book is tailored to provide actionable insights and a deep understanding of the intersection between AI and biomedical science. In crafting this book, we have combined state-of-the-art research with practical case studies to provide a balanced perspective that is both theoretical and application-focused. The chapters are meticulously structured to cover foundational topics such as AI-driven data preprocessing, feature extraction, and signal classification, as well as advanced themes like deep learning for medical imaging, predictive modeling for healthcare outcomes, and real-time signal processing for wearable devices. Special attention is given to emerging areas such as precision medicine and AI-assisted diagnostics, ensuring the content reflects the forefront of innovation in biomedical science. We envision this book as a vital resource for those seeking to harness the power of AI in biomedical data science and signal processing. It is our sincere hope that the insights shared here will empower readers to lead the way in advancing healthcare technologies and improving patient outcomes. Thank you for joining us on this journey of discovery and innovation. Authors
Biomedical Signal Processing And Artificial Intelligence In Healthcare
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Author : Walid A. Zgallai
language : en
Publisher: Academic Press
Release Date : 2020-07-29
Biomedical Signal Processing And Artificial Intelligence In Healthcare written by Walid A. Zgallai and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-29 with Technology & Engineering categories.
Biomedical Signal Processing and Artificial Intelligence in Healthcare is a new volume in the Developments in Biomedical Engineering and Bioelectronics series. This volume covers the basics of biomedical signal processing and artificial intelligence. It explains the role of machine learning in relation to processing biomedical signals and the applications in medicine and healthcare. The book provides background to statistical analysis in biomedical systems. Several types of biomedical signals are introduced and analyzed, including ECG and EEG signals. The role of Deep Learning, Neural Networks, and the implications of the expansion of artificial intelligence is covered. Biomedical Images are also introduced and processed, including segmentation, classification, and detection. This book covers different aspects of signals, from the use of hardware and software, and making use of artificial intelligence in problem solving.Dr Zgallai's book has up to date coverage where readers can find the latest information, easily explained, with clear examples and illustrations. The book includes examples on the application of signal and image processing employing artificial intelligence to Alzheimer, Parkinson, ADHD, autism, and sleep disorders, as well as ECG and EEG signals. Developments in Biomedical Engineering and Bioelectronics is a 10-volume series which covers recent developments, trends and advances in this field. Edited by leading academics in the field, and taking a multidisciplinary approach, this series is a forum for cutting-edge, contemporary review articles and contributions from key 'up-and-coming' academics across the full subject area. The series serves a wide audience of university faculty, researchers and students, as well as industry practitioners. - Coverage of the subject area and the latest advances and applications in biomedical signal processing and Artificial Intelligence - Contributions by recognized researchers and field leaders - On-line presentations, tutorials, application and algorithm examples
Data Driven Science For Clinically Actionable Knowledge In Diseases
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Author : Daniel Catchpoole
language : en
Publisher: CRC Press
Release Date : 2023-12-06
Data Driven Science For Clinically Actionable Knowledge In Diseases written by Daniel Catchpoole and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-06 with Medical categories.
Data-driven science has become a major decision-making aid for the diagnosis and treatment of disease. Computational and visual analytics enables effective exploration and sense making of large and complex data through the deployment of appropriate data science methods, meaningful visualisation and human-information interaction. This edited volume covers state-of-the-art theory, method, models, design, evaluation and applications in computational and visual analytics in desktop, mobile and immersive environments for analysing biomedical and health data. The book is focused on data-driven integral analysis, including computational methods and visual analytics practices and solutions for discovering actionable knowledge in support of clinical actions in real environments. By studying how data and visual analytics have been implemented into the healthcare domain, the book demonstrates how analytics influences the domain through improving decision making, specifying diagnostics, selecting the best treatments and generating clinical certainty.
Artificial Intelligence In Healthcare
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Author : Adam Bohr
language : en
Publisher: Academic Press
Release Date : 2020-06-21
Artificial Intelligence In Healthcare written by Adam Bohr and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-21 with Computers categories.
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
Driving Quality Education Through Ai And Data Science
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Author : Murugan, Thangavel
language : en
Publisher: IGI Global
Release Date : 2025-02-13
Driving Quality Education Through Ai And Data Science written by Murugan, Thangavel and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-13 with Computers categories.
Artificial intelligence (AI) and data science have the potential to address the challenges the education field faces. By integrating AI into the educational system, such as through personalized learning experiences to intelligent tutoring systems, AI can help tailor educational content to individual students' needs, improving engagement and outcomes. Data science can be used to analyze educational data, uncover insights, and inform decision-making. The result is that teachers may be given the tools and knowledge they need to excel in the classroom. This shift not only improves educational outcomes but also prepares students for a data-driven future. Driving Quality Education Through AI and Data Science explores how advancements in AI and data science can be utilized to enhance the quality of education. It provides insights, strategies, and best practices for leveraging AI and data science technologies to enhance teaching and learning. Covering topics such as data-driven decisions, at-risk students, and student performance prediction, this book is an excellent resource for educators, policymakers, professionals, researchers, scholars, academicians, and more.
Driving Smart Medical Diagnosis Through Ai Powered Technologies And Applications
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Author : Khang, Alex
language : en
Publisher: IGI Global
Release Date : 2024-02-26
Driving Smart Medical Diagnosis Through Ai Powered Technologies And Applications written by Khang, Alex and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-26 with Medical categories.
Academic scholars face the daunting challenge of keeping pace with the rapid evolution of innovative technologies. The emergence of AI-driven solutions, deep learning frameworks, and medical robotics introduces a complex terrain, demanding in-depth understanding and analysis. As scholars navigate the intricacies of patient hate speech detection, cardiovascular diseases AI-CDSS, and the revolution in medical diagnostics, a pressing need arises for comprehensive insights that bridge the gap between theoretical knowledge and practical applications. Driving Smart Medical Diagnosis Through AI-Powered Technologies and Applications serves as a solution in this era of transformative healthcare and addresses these challenges head-on. It unravels the complexities surrounding the implementation of AI in healthcare, offering in-depth discussions on the latest breakthroughs. From unraveling the mysteries of AI-driven cataract detection to exploring the implications of decentralized mammography classification, the book is a valuable resource that equips scholars with the knowledge to navigate this innovative landscape.
Data Science For Effective Healthcare Systems
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Author : Hari Singh
language : en
Publisher: CRC Press
Release Date : 2022-07-29
Data Science For Effective Healthcare Systems written by Hari Singh and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-29 with Computers categories.
Data Science for Effective Healthcare Systems has a prime focus on the importance of data science in the healthcare domain. Various applications of data science in the health care domain have been studied to find possible solutions. In this period of COVID-19 pandemic data science and allied areas plays a vital role to deal with various aspect of health care. Image processing, detection & prevention from COVID-19 virus, drug discovery, early prediction, and prevention of diseases are some thrust areas where data science has proven to be indispensable. Key Features: The book offers comprehensive coverage of the most essential topics, including: Big Data Analytics, Applications & Challenges in Healthcare Descriptive, Predictive and Prescriptive Analytics in Healthcare Artificial Intelligence, Machine Learning, Deep Learning and IoT in Healthcare Data Science in Covid-19, Diabetes, Coronary Heart Diseases, Breast Cancer, Brain Tumor The aim of this book is also to provide the future scope of these technologies in the health care domain. Last but not the least, this book will surely benefit research scholar, persons associated with healthcare, faculty, research organizations, and students to get insights into these emerging technologies in the healthcare domain.
Next Frontier Medical Devices And Embedded Systems Harnessing Biomedical Engineering Artificial Intelligence And Cloud Powered Big Data Analytics For Smarter Healthcare Solutions
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Author : Sai Teja Nuka
language : en
Publisher: Deep Science Publishing
Release Date : 2025-06-06
Next Frontier Medical Devices And Embedded Systems Harnessing Biomedical Engineering Artificial Intelligence And Cloud Powered Big Data Analytics For Smarter Healthcare Solutions written by Sai Teja Nuka and has been published by Deep Science Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-06 with Technology & Engineering categories.
The intersection of biomedical engineering, artificial intelligence, and cloud-powered big data analytics marks a pivotal moment in the evolution of modern healthcare. Next-Frontier Medical Devices and Embedded Systems: Harnessing Biomedical Engineering, Artificial Intelligence, and Cloud-Powered Big Data Analytics for Smarter Healthcare Solutions is a timely exploration into how these cutting-edge technologies are converging to transform patient care, medical diagnostics, and therapeutic delivery. In an age where real-time data, personalized treatment, and intelligent automation are becoming the norm, the role of smart medical devices and embedded systems has never been more critical. These innovations are not only enhancing the precision and efficiency of clinical operations but also bringing care closer to the patient—through wearable monitors, implantable sensors, and AI-enabled diagnostic tools that function seamlessly in both hospital and home environments. This book is born out of the recognition that future-ready healthcare systems will rely heavily on adaptive, intelligent technologies that are both secure and scalable. Biomedical engineers, data scientists, clinicians, and healthcare technologists are now working in tandem to design solutions that are deeply integrated, data-driven, and focused on preventive and personalized care. The chapters herein reflect this collaboration—providing a multidisciplinary perspective on the design, deployment, and societal impact of next-generation medical systems. Whether you are a researcher, practitioner, policy leader, or student, this book offers critical insights into the challenges, breakthroughs, and ethical dimensions of embedding intelligence into healthcare hardware. From AI-driven surgical tools and diagnostic algorithms to cloud-enabled analytics and edge computing in critical care—this work offers a comprehensive guide to the technological shift redefining healthcare at its core. We hope this book serves not only as a knowledge resource but also as an inspiration to those driving innovation at the frontier of medicine and technology.
Bioelectrical Signal Processing In Cardiac And Neurological Applications
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Author : Leif Sörnmo
language : en
Publisher: Academic Press
Release Date : 2005-07-21
Bioelectrical Signal Processing In Cardiac And Neurological Applications written by Leif Sörnmo and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-07-21 with Science categories.
The analysis of bioelectrical signals continues to receive wide attention in research as well as commercially because novel signal processing techniques have helped to uncover valuable information for improved diagnosis and therapy. This book takes a unique problem-driven approach to biomedical signal processing by considering a wide range of problems in cardiac and neurological applications–the two "heavyweight" areas of biomedical signal processing. The interdisciplinary nature of the topic is reflected in how the text interweaves physiological issues with related methodological considerations. Bioelectrical Signal Processing is suitable for a final year undergraduate or graduate course as well as for use as an authoritative reference for practicing engineers, physicians, and researchers. - A problem-driven, interdisciplinary presentation of biomedical signal processing - Focus on methods for processing of bioelectrical signals (ECG, EEG, evoked potentials, EMG) - Covers both classical and recent signal processing techniques - Emphasis on model-based statistical signal processing - Comprehensive exercises and illustrations - Extensive bibliography
Ai Model Design And Data Management For Disease Prediction
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Author : Muniasamy, Anandhavalli
language : en
Publisher: IGI Global
Release Date : 2025-07-09
Ai Model Design And Data Management For Disease Prediction written by Muniasamy, Anandhavalli and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-09 with Medical categories.
The design of artificial intelligence (AI) models for disease prediction advances fields that combine medical expertise, data science, and computational power to improve diagnostic accuracy and patient outcomes. The design of predictive models is central to this process, tailored to analyze complex healthcare data. Effective data management in healthcare involves the collection, integration, and storage of high-quality clinical and biomedical datasets. Ensuring data privacy and addressing biases are challenges that must be navigated to develop reliable and ethical AI systems. Thoughtful model design and effective data management strategies may ensure earlier detection, personalized treatment, and better resource allocation in modern healthcare systems. AI Model Design and Data Management for Disease Prediction explores the integration of intelligent technologies into medical prediction and diagnosis. It examines the usage of AI for enhanced healthcare data management. This book covers topics such as data science, medical imaging, and prediction models, and is a useful resource for computer engineers, medical professionals, academicians, researchers, and data scientists.