Techniques And Applications Of Biomedical Ai
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Techniques And Applications Of Biomedical Ai
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Author : Hammad, Mohamed
language : en
Publisher: IGI Global
Release Date : 2025-05-28
Techniques And Applications Of Biomedical Ai written by Hammad, Mohamed and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-28 with Technology & Engineering categories.
Artificial Intelligence (AI) has become a transformative force in the biomedical field, offering powerful tools to analyze complex data, enhance diagnostics, and support personalized medicine. Machine learning algorithms can identify patterns in genomic data for disease prediction, while deep learning models excel in medical imaging, detecting conditions like cancer or neurological disorders with high accuracy. NLP enables insights from clinical records, supporting decision-making and automating administrative tasks. Meanwhile, AI-powered robotics and smart sensors enhance surgical precision and patient monitoring. Further research of these applications may improve patient outcomes and streamline healthcare systems. Techniques and Applications of Biomedical AI delves into the rapidly evolving field of prompt engineering, specifically within the context of biomedical AI. It addresses both the theoretical foundations and practical applications of prompt engineering, highlighting its potential to revolutionize healthcare and biomedical research. This book covers topics such as biology, medical technologies, and risk management, and is a useful resource for biologists, medical and healthcare professionals, engineers, academicians, researchers, and scientists.
Handbook Of Artificial Intelligence In Biomedical Engineering
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Author : Saravanan Krishnan
language : en
Publisher: CRC Press
Release Date : 2021-03-29
Handbook Of Artificial Intelligence In Biomedical Engineering written by Saravanan Krishnan and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-29 with Technology & Engineering categories.
Handbook of Artificial Intelligence in Biomedical Engineering focuses on recent AI technologies and applications that provide some very promising solutions and enhanced technology in the biomedical field. Recent advancements in computational techniques, such as machine learning, Internet of Things (IoT), and big data, accelerate the deployment of biomedical devices in various healthcare applications. This volume explores how artificial intelligence (AI) can be applied to these expert systems by mimicking the human expert’s knowledge in order to predict and monitor the health status in real time. The accuracy of the AI systems is drastically increasing by using machine learning, digitized medical data acquisition, wireless medical data communication, and computing infrastructure AI approaches, helping to solve complex issues in the biomedical industry and playing a vital role in future healthcare applications. The volume takes a multidisciplinary perspective of employing these new applications in biomedical engineering, exploring the combination of engineering principles with biological knowledge that contributes to the development of revolutionary and life-saving concepts.
Advanced Ai Techniques And Applications In Bioinformatics
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Author : Loveleen Gaur
language : en
Publisher: CRC Press
Release Date : 2021-10-17
Advanced Ai Techniques And Applications In Bioinformatics written by Loveleen Gaur and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-17 with Technology & Engineering categories.
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
Handbook Of Research On Ai Methods And Applications In Computer Engineering
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Author : Kaddoura, Sanaa
language : en
Publisher: IGI Global
Release Date : 2023-01-30
Handbook Of Research On Ai Methods And Applications In Computer Engineering written by Kaddoura, Sanaa and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-30 with Computers categories.
The development of artificial intelligence (AI) involves the creation of computer systems that can do activities that would ordinarily require human intelligence, such as visual perception, speech recognition, decision making, and language translation. Through increasingly complex programming approaches, it has been transforming and advancing the discipline of computer science. The Handbook of Research on AI Methods and Applications in Computer Engineering illuminates how today’s computer engineers and scientists can use AI in real-world applications. It focuses on a few current and emergent AI applications, allowing a more in-depth discussion of each topic. Covering topics such as biomedical research applications, navigation systems, and search engines, this premier reference source is an excellent resource for computer scientists, computer engineers, IT managers, students and educators of higher education, librarians, researchers, and academicians.
Applications Of Artificial Intelligence In Healthcare And Biomedicine
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Author : Abdulhamit Subasi
language : en
Publisher: Elsevier
Release Date : 2024-03-10
Applications Of Artificial Intelligence In Healthcare And Biomedicine written by Abdulhamit Subasi and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-10 with Science categories.
Applications of Artificial Intelligence in Healthcare and Biomedicine provides updated knowledge on the applications of artificial intelligence in medical image analysis. The book starts with an introduction to Artificial Intelligence techniques for Healthcare and Biomedicine. In 16 chapters it presents artificial applications in Electrocardiogram (ECG), Electroencephalogram (EEG) and Electromyography (EMG), signal analysis, Computed Tomography (CT), Magnetic Resonance Imaging (MR) and Ultrasound image analysis. It equips researchers with tools for early breast cancer detection from mammograms using artificial intelligence (AI), AI models to detect lung cancer using histopathological images and a deep learning-based approach to get a proper and faster diagnosis of the Optical Coherence Tomography (OCT) images. It also presents present 3D medical image analysis using 3D Convolutional Neural Networks (CNNs). Applications of Artificial Intelligence in Healthcare and Biomedicine closes with a chapter on AI-based approach to forecast diabetes patients' hospital re-admissions. This is a valuable resource for clinicians, researchers and healthcare professionals who are interested in learning more about the applications of Artificial Intelligence and its impact in medical/biomedical image analysis. - Provides knowledge on Artificial Intelligence algorithms for clinical data analysis - Gives insights into both AI applications in biomedical signal analysis, biomedical image analysis, and applications in healthcare, including drug discovery - Equips researchers with tools for early breast cancer detection
Artificial Intelligence And Cloud Computing Applications In Biomedical Engineering
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Author : Madhusudhan H S
language : en
Publisher: CRC Press
Release Date : 2025-09-22
Artificial Intelligence And Cloud Computing Applications In Biomedical Engineering written by Madhusudhan H S and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-22 with Technology & Engineering categories.
Biomedical engineering is undergoing a transformation because of AI, which is allowing creative solutions that enhance patient outcomes, diagnosis, treatment planning, and healthcare delivery. Artificial Intelligence and Cloud Computing Applications in Biomedical Engineering examines the salient characteristics of AI in biomedical engineering, highlighting its practical applications and new directions. Highlights of the book include: Genome sequence and visualization The role of AI and cloud in detection of diseases Nature-inspired algorithms for disease detection Frameworks for disease classification With a focus on designing AI techniques for disease detection, the book explores the role of AI in biomedical engineering. It discusses how machine learning (ML) and deep learning (DL) are at the heart of AI applications in biomedical engineering. ML algorithms, particularly those based on neural networks, enable computers to learn from large datasets, identify patterns, and make predictions or decisions without explicit programming, and implementing ML algorithms is a focus of the book. Another focus is on DL, a subset of ML, and how it uses multi-layered neural networks to achieve high accuracy in such complex tasks as image and speech recognition. Biomedical engineering generates massive amounts of data from medical imaging, genomic sequencing, wearable devices, electronic health records (EHR), and other sources. This book also discusses AI-driven big data analytics, which allows researchers and clinicians to derive from data meaningful insights, aiding in early disease detection, personalized treatment plans, and patient monitoring.
Artificial Intelligence In Medicine
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Author : Annette ten Teije
language : en
Publisher: Springer
Release Date : 2017-06-12
Artificial Intelligence In Medicine written by Annette ten Teije and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-06-12 with Computers categories.
This book constitutes the refereed proceedings of the 16th Conference on Artificial Intelligence in Medicine, AIME 2017, held in Vienna, Austria, in June 2017. The 21 revised full and 23 short papers presented were carefully reviewed and selected from 113 submissions. The papers are organized in the following topical sections: ontologies and knowledge representation; Bayesian methods; temporal methods; natural language processing; health care processes; and machine learning, and a section with demo papers.
Reshaping Healthcare With Cutting Edge Biomedical Advancements
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Author : Prabhakar, Pranav Kumar
language : en
Publisher: IGI Global
Release Date : 2024-05-06
Reshaping Healthcare With Cutting Edge Biomedical Advancements written by Prabhakar, Pranav Kumar and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-06 with Technology & Engineering categories.
Despite remarkable advancements in biomedical research, the healthcare industry faces challenges in effectively translating these discoveries into tangible patient benefits. Healthcare professionals often need help to keep pace with the rapid evolution of medical knowledge, leading to variations in patient care and treatment outcomes. Policymakers and educators may need more insight to leverage recent biomedical developments in shaping effective health policies and educational curricula. Additionally, ethical considerations surrounding emerging technologies like gene editing and Artificial Intelligence (AI) in healthcare pose complex dilemmas that require careful navigation. Reshaping Healthcare with Cutting-Edge Biomedical Advancements offers a comprehensive solution to these challenges. By providing a detailed exploration of the latest breakthroughs in genomics, regenerative therapies, neurobiology, AI, and more, this book equips healthcare professionals with the knowledge needed to make informed decisions about patient care. It also guides policymakers and educators, offering insights into the implications of recent biomedical advancements for shaping health policies and educational programs.
Fostering Healthcare Through Artificial Intelligence
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Author : Kavita Khare
language : en
Publisher: CRC Press
Release Date : 2025-09-30
Fostering Healthcare Through Artificial Intelligence written by Kavita Khare and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-30 with Technology & Engineering categories.
In this book, readers can explore the transformative power of artificial intelligence (AI) in reshaping modern healthcare. The book dives deep into how cutting- edge technologies are revolutionizing diagnostics, patient care, and medical research. From the predictive analytics that anticipate disease outbreaks to intelligent systems that enhance clinical decisionmaking, this book reveals how AI technologies are playing a transformative role in healthcare domain. Designed for healthcare professionals and AI enthusiasts, this book presents real- world applications, ethical considerations, and visionary insights from researchers and industry. The book provides readers a comprehensive understanding of AI’s potential to drive meaningful change. This book: Covers high-performance computing field programmable gate array networks for machine learning-based biomedical applications Presents machine learning algorithms for cancer susceptibility, recurrence, and survival prediction Discusses the use of high-performance computing (HPC) in the execution of low-power processors for healthcare devices Demonstrates detailed performance analysis of wearable healthcare devices Highlights the use of Pix2pix generative adversarial networks for mammographically occult breast cancer detection Whether you're navigating the complexities of digital health transformation or simply curious about AI’s role in medicine, Fostering Healthcare through Artificial Intelligence is your essential guide to understanding how technology can foster a healthier, smarter future for all.
Applications Of Artificial Intelligence In Medical Imaging
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Author : Abdulhamit Subasi
language : en
Publisher: Academic Press
Release Date : 2022-11-10
Applications Of Artificial Intelligence In Medical Imaging written by Abdulhamit Subasi and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-10 with Science categories.
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