Ai Applications For Disease Diagnosis And Treatment

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AI Applications for Disease Diagnosis and Treatment

El Ouazzani, Rajae,Fattah, Mohammed,Benamar, Nabil

Author : El Ouazzani, Rajae,Fattah, Mohammed,Benamar, Nabil
Publisher : IGI Global
Page : 332 pages
File Size : 51,9 Mb
Release : 2022-06-10
Category : Medical
ISBN : 9781668423066

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AI Applications for Disease Diagnosis and Treatment by El Ouazzani, Rajae,Fattah, Mohammed,Benamar, Nabil Pdf

Artificial intelligence (AI) technology has been very successful across fields such as healthcare, security, precision agriculture, smart city, and autonomous driving and promises numerous benefits for social development, economic growth, wellbeing management, and human healthcare. Various intelligent healthcare applications have been created in order to assist patient healthcare and must be studied further. AI Applications for Disease Diagnosis and Treatment provides the current advances and applications of artificial intelligence applications in healthcare such as disease diagnosis, diet proposal, drug prescription and tracking, and physical and psychological assistance. Covering topics such as assistive healthcare, robotics, and machine learning, it is ideal for healthcare professionals, researchers, data analysts, academicians, practitioners, scholars, instructors, and students.

Artificial Intelligence in Healthcare

Adam Bohr,Kaveh Memarzadeh

Author : Adam Bohr,Kaveh Memarzadeh
Publisher : Academic Press
Page : 385 pages
File Size : 45,9 Mb
Release : 2020-06-21
Category : Computers
ISBN : 9780128184394

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Artificial Intelligence in Healthcare by Adam Bohr,Kaveh Memarzadeh Pdf

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

Artificial Intelligence for Health 4.0: Challenges and Applications

Rishabha Malviya,Naveen Chilamkurti,Sonali Sundram,Rajesh Kumar Dhanaraj,Balamurugan Balusamy

Author : Rishabha Malviya,Naveen Chilamkurti,Sonali Sundram,Rajesh Kumar Dhanaraj,Balamurugan Balusamy
Publisher : CRC Press
Page : 420 pages
File Size : 54,5 Mb
Release : 2023-03-10
Category : Computers
ISBN : 9781000847024

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Artificial Intelligence for Health 4.0: Challenges and Applications by Rishabha Malviya,Naveen Chilamkurti,Sonali Sundram,Rajesh Kumar Dhanaraj,Balamurugan Balusamy Pdf

Healthcare is one of the major success stories of our times. Medical science has improved rapidly, raising life expectancy around the world. However, as longevity increases, healthcare systems face growing demands for their services, rising costs, and a workforce that is struggling to meet the needs of its patients. Healthcare is one of the most critical sectors in the broader landscape of big data because of its fundamental role in a productive, thriving society. Building on automation, artificial intelligence (AI) has the potential to revolutionize healthcare and help address some of the challenges set out above. The application of AI to healthcare data can literally be a matter of life and death. AI can assist doctors, nurses, and other healthcare workers in their daily work. AI in healthcare can enhance preventive care and quality of life, produce more accurate diagnoses and treatment plans, and lead to better patient outcomes overall. This book gives insights into the latest developments of applications of AI in biomedicine, including disease diagnostics, pharmaceutical processing, patient care and monitoring, biomedical information, and biomedical research. It also presents an outline of the recent breakthroughs in the application of AI in healthcare, describes a roadmap to building effective, reliable, and safe AI systems, and discusses the possible future direction of AI augmented healthcare systems. AI has countless applications in healthcare. Whether it’s being used to discover links between genetic codes, to power surgical robots or even to maximize hospital efficiency; AI has been a boon to the healthcare industry.

Current and Future Application of Artificial Intelligence in Clinical Medicine

Jie Yang,Shigao Huang

Author : Jie Yang,Shigao Huang
Publisher : Bentham Science Publishers
Page : 154 pages
File Size : 52,9 Mb
Release : 2021-06-01
Category : Medical
ISBN : 9781681088426

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Current and Future Application of Artificial Intelligence in Clinical Medicine by Jie Yang,Shigao Huang Pdf

Current and Future Application of Artificial Intelligence in Clinical Medicine presents updates on the application of machine learning and deep learning techniques in medical procedures. . Chapters in the volume have been written by outstanding contributors from cancer and computer science institutes with the goal of providing updated knowledge to the reader. Topics covered in the book include 1) Artificial Intelligence (AI) applications in cancer diagnosis and therapy, 2) Updates in AI applications in the medical industry, 3) the use of AI in studying the COVID-19 pandemic in China, 4) AI applications in clinical oncology (including AI-based mining for pulmonary nodules and the use of AI in understanding specific carcinomas), 5) AI in medical imaging. Each chapter presents information on related sub topics in a reader friendly format. The combination of expert knowledge and multidisciplinary approaches highlighted in the book make it a valuable source of information for physicians and clinical researchers active in the field of cancer diagnosis and treatment (oncologists, oncologic surgeons, radiation oncologists, nuclear medicine physicians, and radiologists) and computer science scholars seeking to understand medical applications of artificial intelligence.

Artificial Intelligence in Medicine

David Riaño,Szymon Wilk,Annette ten Teije

Author : David Riaño,Szymon Wilk,Annette ten Teije
Publisher : Springer
Page : 431 pages
File Size : 44,8 Mb
Release : 2019-06-19
Category : Computers
ISBN : 9783030216429

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Artificial Intelligence in Medicine by David Riaño,Szymon Wilk,Annette ten Teije Pdf

This book constitutes the refereed proceedings of the 17th Conference on Artificial Intelligence in Medicine, AIME 2019, held in Poznan, Poland, in June 2019. The 22 revised full and 31 short papers presented were carefully reviewed and selected from 134 submissions. The papers are organized in the following topical sections: deep learning; simulation; knowledge representation; probabilistic models; behavior monitoring; clustering, natural language processing, and decision support; feature selection; image processing; general machine learning; and unsupervised learning.

Applications of Artificial Intelligence in Medical Imaging

Abdulhamit Subasi

Author : Abdulhamit Subasi
Publisher : Academic Press
Page : 381 pages
File Size : 53,7 Mb
Release : 2022-11-10
Category : Science
ISBN : 9780443184512

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Applications of Artificial Intelligence in Medical Imaging by Abdulhamit Subasi Pdf

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

Driving Smart Medical Diagnosis Through AI-Powered Technologies and Applications

Khang, Alex

Author : Khang, Alex
Publisher : IGI Global
Page : 332 pages
File Size : 45,5 Mb
Release : 2024-02-26
Category : Medical
ISBN : 9798369336809

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Driving Smart Medical Diagnosis Through AI-Powered Technologies and Applications by Khang, Alex Pdf

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.

Future Information Technology

James J. (Jong Hyuk) Park,Ivan Stojmenovic,Min Choi,Fatos Xhafa

Author : James J. (Jong Hyuk) Park,Ivan Stojmenovic,Min Choi,Fatos Xhafa
Publisher : Springer Science & Business Media
Page : 479 pages
File Size : 52,8 Mb
Release : 2013-08-23
Category : Technology & Engineering
ISBN : 9783642408618

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Future Information Technology by James J. (Jong Hyuk) Park,Ivan Stojmenovic,Min Choi,Fatos Xhafa Pdf

Future technology information technology stands for all of continuously evolving and converging information technologies, including digital convergence, multimedia convergence, intelligent applications, embedded systems, mobile and wireless communications, bio-inspired computing, grid and cloud computing, semantic web, user experience and HCI, security and trust computing and so on, for satisfying our ever-changing needs. In past twenty five years or so, Information Technology (IT) influenced and changed every aspect of our lives and our cultures. These proceedings foster the dissemination of state-of-the-art research in all future IT areas, including their models, services, and novel applications associated with their utilization.

Artificial Intelligence in Medical Imaging

Erik R. Ranschaert,Sergey Morozov,Paul R. Algra

Author : Erik R. Ranschaert,Sergey Morozov,Paul R. Algra
Publisher : Springer
Page : 373 pages
File Size : 46,8 Mb
Release : 2019-01-29
Category : Medical
ISBN : 9783319948782

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Artificial Intelligence in Medical Imaging by Erik R. Ranschaert,Sergey Morozov,Paul R. Algra Pdf

This book provides a thorough overview of the ongoing evolution in the application of artificial intelligence (AI) within healthcare and radiology, enabling readers to gain a deeper insight into the technological background of AI and the impacts of new and emerging technologies on medical imaging. After an introduction on game changers in radiology, such as deep learning technology, the technological evolution of AI in computing science and medical image computing is described, with explanation of basic principles and the types and subtypes of AI. Subsequent sections address the use of imaging biomarkers, the development and validation of AI applications, and various aspects and issues relating to the growing role of big data in radiology. Diverse real-life clinical applications of AI are then outlined for different body parts, demonstrating their ability to add value to daily radiology practices. The concluding section focuses on the impact of AI on radiology and the implications for radiologists, for example with respect to training. Written by radiologists and IT professionals, the book will be of high value for radiologists, medical/clinical physicists, IT specialists, and imaging informatics professionals.

Intelligent Healthcare

Surbhi Bhatia,Ashutosh Kumar Dubey,Rita Chhikara,Poonam Chaudhary,Abhishek Kumar

Author : Surbhi Bhatia,Ashutosh Kumar Dubey,Rita Chhikara,Poonam Chaudhary,Abhishek Kumar
Publisher : Springer Nature
Page : 323 pages
File Size : 52,8 Mb
Release : 2021-07-02
Category : Technology & Engineering
ISBN : 9783030670511

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Intelligent Healthcare by Surbhi Bhatia,Ashutosh Kumar Dubey,Rita Chhikara,Poonam Chaudhary,Abhishek Kumar Pdf

This book fosters a scientific debate for sophisticated approaches and cognitive technologies (such as deep learning, machine learning and advanced analytics) for enhanced healthcare services in light of the tremendous scope in the future of intelligent systems for healthcare. The authors discuss the proliferation of huge data sources (e.g. genomes, electronic health records (EHRs), mobile diagnostics, and wearable devices) and breakthroughs in artificial intelligence applications, which have unlocked the doors for diagnosing and treating multitudes of rare diseases. The contributors show how the widespread adoption of intelligent health based systems could help overcome challenges, such as shortages of staff and supplies, accessibility barriers, lack of awareness on certain health issues, identification of patient needs, and early detection and diagnosis of illnesses. This book is a small yet significant step towards exploring recent advances, disseminating state-of-the-art techniques and deploying novel technologies in intelligent healthcare services and applications. Describes the advances of computing methodologies for life and medical science data; Presents applications of artificial intelligence in healthcare along with case studies and datasets; Provides an ideal reference for medical imaging researchers, industry scientists and engineers, advanced undergraduate and graduate students, and clinicians.

Precision Medicine and Artificial Intelligence

Michael Mahler

Author : Michael Mahler
Publisher : Academic Press
Page : 300 pages
File Size : 52,7 Mb
Release : 2021-03-12
Category : Science
ISBN : 9780323854320

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Precision Medicine and Artificial Intelligence by Michael Mahler Pdf

Precision Medicine and Artificial Intelligence: The Perfect Fit for Autoimmunity covers background on artificial intelligence (AI), its link to precision medicine (PM), and examples of AI in healthcare, especially autoimmunity. The book highlights future perspectives and potential directions as AI has gained significant attention during the past decade. Autoimmune diseases are complex and heterogeneous conditions, but exciting new developments and implementation tactics surrounding automated systems have enabled the generation of large datasets, making autoimmunity an ideal target for AI and precision medicine. More and more diagnostic products utilize AI, which is also starting to be supported by regulatory agencies such as the Food and Drug Administration (FDA). Knowledge generation by leveraging large datasets including demographic, environmental, clinical and biomarker data has the potential to not only impact the diagnosis of patients, but also disease prediction, prognosis and treatment options. Allows the readers to gain an overview on precision medicine for autoimmune diseases leveraging AI solutions Provides background, milestone and examples of precision medicine Outlines the paradigm shift towards precision medicine driven by value-based systems Discusses future applications of precision medicine research using AI Other aspects covered in the book include regulatory insights, data analytics and visualization, types of biomarkers as well as the role of the patient in precision medicine

Artificial Intelligence for Disease Diagnosis and Prognosis in Smart Healthcare

Ghita Kouadri Mostefaoui,S. M. Riazul Islam,Faisal Tariq

Author : Ghita Kouadri Mostefaoui,S. M. Riazul Islam,Faisal Tariq
Publisher : CRC Press
Page : 385 pages
File Size : 55,9 Mb
Release : 2023-03-24
Category : Computers
ISBN : 9781000823202

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Artificial Intelligence for Disease Diagnosis and Prognosis in Smart Healthcare by Ghita Kouadri Mostefaoui,S. M. Riazul Islam,Faisal Tariq Pdf

Artificial Intelligence (AI) in general and machine learning (ML) and deep learning (DL) in particular and related digital technologies are a couple of fledging paradigms that next-generation healthcare services are sprinting towards. These digital technologies can transform various aspects of healthcare, leveraging advances in computing and communication power. With a new spectrum of business opportunities, AI-powered healthcare services will improve the lives of patients, their families, and societies. However, the application of AI in the healthcare field requires special attention given the direct implication with human life and well-being. Rapid progress in AI leads to the possibility of exploiting healthcare data for designing practical tools for automated diagnosis of chronic diseases such as dementia and diabetes. This book highlights the current research trends in applying AI models in various disease diagnoses and prognoses to provide enhanced healthcare solutions. The primary audience of the book are postgraduate students and researchers in the broad domain of healthcare technologies. Features In-depth coverage of the role of AI in smart healthcare Research guidelines for AI and data science researchers/practitioners interested in the healthcare sector Comprehensive coverage on security and privacy issues for AI in smart healthcare

Big Data and Artificial Intelligence for Healthcare Applications

Ankur Saxena,Nicolas Brault,Shazia Rashid

Author : Ankur Saxena,Nicolas Brault,Shazia Rashid
Publisher : CRC Press
Page : 286 pages
File Size : 45,9 Mb
Release : 2021-06-15
Category : Computers
ISBN : 9781000387315

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Big Data and Artificial Intelligence for Healthcare Applications by Ankur Saxena,Nicolas Brault,Shazia Rashid Pdf

This book covers a wide range of topics on the role of Artificial Intelligence, Machine Learning, and Big Data for healthcare applications and deals with the ethical issues and concerns associated with it. This book explores the applications in different areas of healthcare and highlights the current research. "Big Data and Artificial Intelligence for Healthcare Applications" covers healthcare big data analytics, mobile health and personalized medicine, clinical trial data management and presents how Artificial Intelligence can be used for early disease diagnosis prediction and prognosis. It also offers some case studies that describes the application of Artificial Intelligence and Machine Learning in healthcare. Researchers, healthcare professionals, data scientists, systems engineers, students, programmers, clinicians, and policymakers will find this book of interest.

AI and the Future of Healthcare

Yvonne Kent

Author : Yvonne Kent
Publisher : Independently Published
Page : 0 pages
File Size : 45,9 Mb
Release : 2023-08-07
Category : Electronic
ISBN : 9798856355535

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AI and the Future of Healthcare by Yvonne Kent Pdf

'AI and the Future of Healthcare: Revolutionizing Diagnosis and Treatment' is a thoughtful exploration of the impact of artificial intelligence on the healthcare industry. It unveils the transformative potential of AI as a powerful tool in enhancing disease diagnostics, treatment protocols, and preventive care. Author Yvonne Kent effortlessly bridges the chasm between the technical subject matter and the reader, with meticulous research presented in an engaging, comprehensible manner. This nuanced Special Report meticulously unravels the complexity of AI-informed medical systems, revealing their potential effectiveness in delivering robust healthcare solutions. Highlights: The fundamentals of AI and its far-reaching implications in healthcare. Real-world applications of AI in diagnostic medicine and surgical precision. The role of AI in personalizing pharmacological treatment and enhancing global healthcare accessibility. Key ethical considerations and future prospects of AI in medicine. 'AI and the Future of Healthcare: Revolutionizing Diagnosis and Treatment' guides the reader towards understanding the impending medical revolution, prepping them for the wave of cutting-edge AI-driven innovations in healthcare. It's a must-read for anyone seeking to navigate the future dynamics of healthcare. Whether you're a medical professional, policy-maker, tech enthusiast, or anyone interested in health and technology, this report is too important to miss.

Artificial Intelligence in Medical Virology

Jyotir Moy Chatterjee,Shailendra K. Saxena

Author : Jyotir Moy Chatterjee,Shailendra K. Saxena
Publisher : Springer Nature
Page : 202 pages
File Size : 50,8 Mb
Release : 2023-04-21
Category : Medical
ISBN : 9789819903696

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Artificial Intelligence in Medical Virology by Jyotir Moy Chatterjee,Shailendra K. Saxena Pdf

This book comprehensively reviews the potential of Artificial Intelligence (AI) in biomedical research and healthcare, with a major emphasis on virology. The initial chapter presents the applications of machine learning methods for structured data, such as the classical support vector machine and neural network, modern deep learning, and natural language processing for unstructured data in biomedical research and healthcare. The subsequent chapters explore the applications of AI in tackling COVID-19, analysis of the pandemic, viral infection, disease spread, and control. The book further identifies the potential applications of machine learning in the field of virology with a focus on the key aspects of infection: diagnosis, transmission, response to treatment, and resistance. The book also discusses progress and challenges in developing viral vaccines and examines the application of viruses in translational research and human healthcare. Furthermore, the book covers the applications of artificial intelligence-mediated diagnosis and the development of drugs to treat the disease. Towards the end, the book summarizes the ethical and legal challenges posed by AI in healthcare and biomedical research. This book is an invaluable source for researchers, medical and industry practitioners, academicians, and students exploring the applications of AI in biomedical research and healthcare.

Ai Applications For Disease Diagnosis And Treatment

AI Applications for Disease Diagnosis and Treatment by El Ouazzani, Rajae,Fattah, Mohammed,Benamar, Nabil Pdf

Artificial Intelligence in Healthcare by Adam Bohr,Kaveh Memarzadeh Pdf

Artificial Intelligence for Health 4.0: Challenges and Applications by Rishabha Malviya,Naveen Chilamkurti,Sonali Sundram,Rajesh Kumar Dhanaraj,Balamurugan Balusamy Pdf

Current and Future Application of Artificial Intelligence in Clinical Medicine by Jie Yang,Shigao Huang Pdf

Artificial Intelligence in Medicine by David Riaño,Szymon Wilk,Annette ten Teije Pdf

Applications of Artificial Intelligence in Medical Imaging by Abdulhamit Subasi Pdf

Driving Smart Medical Diagnosis Through AI-Powered Technologies and Applications by Khang, Alex Pdf

Future Information Technology by James J. (Jong Hyuk) Park,Ivan Stojmenovic,Min Choi,Fatos Xhafa Pdf

Artificial Intelligence in Medical Imaging by Erik R. Ranschaert,Sergey Morozov,Paul R. Algra Pdf

Intelligent Healthcare by Surbhi Bhatia,Ashutosh Kumar Dubey,Rita Chhikara,Poonam Chaudhary,Abhishek Kumar Pdf

Precision Medicine and Artificial Intelligence by Michael Mahler Pdf

Artificial Intelligence for Disease Diagnosis and Prognosis in Smart Healthcare by Ghita Kouadri Mostefaoui,S. M. Riazul Islam,Faisal Tariq Pdf

Big Data and Artificial Intelligence for Healthcare Applications by Ankur Saxena,Nicolas Brault,Shazia Rashid Pdf

AI and the Future of Healthcare by Yvonne Kent Pdf

Artificial Intelligence in Medical Virology by Jyotir Moy Chatterjee,Shailendra K. Saxena Pdf

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