Proceedings Of The 1st International Conference On Intelligent Healthcare And Computational Neural Modelling
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Proceedings Of The 1st International Conference On Intelligent Healthcare And Computational Neural Modelling
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Author : Ninni Singh
language : en
Publisher: Springer Nature
Release Date : 2025-01-04
Proceedings Of The 1st International Conference On Intelligent Healthcare And Computational Neural Modelling written by Ninni Singh and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-04 with Computers categories.
This book includes peer-reviewed articles from the 1st International Conference on Intelligent Healthcare and Computational Neural Modelling (ICIHCNN—2022), held on November 30, 2022, at Dehradun, India. It covers the latest research trends and developments in areas of Data Science, Artificial Intelligence, Neural Networks, Cognitive Neuroscience and Machine Learning Applications, Cyber-Physical Systems, and Cybernetics.
Innovative Systems For Intelligent Health Informatics
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Author : Faisal Saeed
language : en
Publisher: Springer Nature
Release Date : 2021-05-05
Innovative Systems For Intelligent Health Informatics written by Faisal Saeed and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-05 with Computers categories.
This book presents the papers included in the proceedings of the 5th International Conference of Reliable Information and Communication Technology 2020 (IRICT 2020) that was held virtually on December 21–22, 2020. The main theme of the book is “Innovative Systems for Intelligent Health Informatics”. A total of 140 papers were submitted to the conference, but only 111 papers were published in this book. The book presents several hot research topics which include health informatics, bioinformatics, information retrieval, artificial intelligence, soft computing, data science, big data analytics, Internet of things (IoT), intelligent communication systems, information security, information systems, and software engineering.
Artificial Intelligence Transformations For Healthcare Applications Medical Diagnosis Treatment And Patient Care
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Author : Murugan, Thangavel
language : en
Publisher: IGI Global
Release Date : 2024-07-22
Artificial Intelligence Transformations For Healthcare Applications Medical Diagnosis Treatment And Patient Care 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 2024-07-22 with Medical categories.
Artificial intelligence (AI) has emerged as a transformative force across various domains, revolutionizing the way we perceive and address challenges in healthcare. The convergence of AI and healthcare holds immense promise, offering unprecedented opportunities to enhance medical diagnosis, treatment, and patient care. In today’s world, the intersection of AI and healthcare stands as one of the most promising frontiers for innovation and progress. Artificial Intelligence Transformations for Healthcare Applications: Medical Diagnosis, Treatment, and Patient Care embodies this convergence, offering a comprehensive exploration of how AI is revolutionizing various aspects of healthcare delivery. At its core, this book addresses the urgent need for more effective and efficient healthcare solutions in an increasingly complex and data-rich environment. Covering topics such as chronic disease, image classification, and precision medicine, this book is an essential resource for healthcare professionals, medical researchers, AI and machine learning specialists, healthcare administrators and executives, medical educators and students, biomedical engineers, healthcare IT professionals, policy makers and regulators, academicians, and more.
Natural Language Processing In Healthcare
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Author : Satya Ranjan Dash
language : en
Publisher: CRC Press
Release Date : 2022-09-13
Natural Language Processing In Healthcare written by Satya Ranjan Dash and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-13 with Computers categories.
Natural Language Processing In Healthcare: A Special Focus on Low Resource Languages covers the theoretical and practical aspects as well as ethical and social implications of NLP in healthcare. It showcases the latest research and developments contributing to the rising awareness and importance of maintaining linguistic diversity. The book goes on to present current advances and scenarios based on solutions in healthcare and low resource languages and identifies the major challenges and opportunities that will impact NLP in clinical practice and health studies.
Explainable Artificial Intelligence In The Healthcare Industry
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Author : Abhishek Kumar
language : en
Publisher: John Wiley & Sons
Release Date : 2025-03-05
Explainable Artificial Intelligence In The Healthcare Industry written by Abhishek Kumar and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-05 with Computers categories.
Discover the essential insights and practical applications of explainable AI in healthcare that will empower professionals and enhance patient trust with Explainable AI in the Healthcare Industry, a must-have resource. Explainable AI (XAI) has significant implications for the healthcare industry, where trust, accountability, and interpretability are crucial factors for the adoption of artificial intelligence. XAI techniques in healthcare aim to provide clear and understandable explanations for AI-driven decisions, helping healthcare professionals, patients, and regulatory bodies to better comprehend and trust the AI models’ outputs. Explainable AI in the Healthcare Industry presents a comprehensive exploration of the critical role of explainable AI in revolutionizing the healthcare industry. With the rapid integration of AI-driven solutions in medical practice, understanding how these models arrive at their decisions is of paramount importance. The book delves into the principles, methodologies, and practical applications of XAI techniques specifically tailored for healthcare settings.
Computational Intelligence In Healthcare Applications
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Author : Rajeev Agrawal
language : en
Publisher: Academic Press
Release Date : 2022-07-14
Computational Intelligence In Healthcare Applications written by Rajeev Agrawal and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-14 with Science categories.
Computational Intelligence in Healthcare Applications discusses a variety of techniques designed to represent, enhance and empower inter-domain research based on computational intelligence in healthcare. The book serves as a reference for the pervasive healthcare domain which takes into consideration new convergent computing and other applications. The book discusses topics such as mathematical modeling in medical imaging, predictive modeling based on artificial intelligence and deep learning, smart healthcare and wearable devices, and evidence-based predictive modeling. In addition, it discusses computer-aided diagnostic for clinical inferences and pervasive and ubiquitous techniques in healthcare. This book is a valuable resource for graduate students and researchers in medical informatics, however, it is also ideal for members of the biomedical field and healthcare industry who are interested in learning more about novel technologies and their applications in the field. - Presents advanced procedures to address and enhance available diagnostic methods - Focuses on identifying challenges and solutions through an integrated approach that shapes a path for new research dimensions - Discusses the implementation of deep learning techniques for the detection and classification of diseases
Machine Learning And Artificial Intelligence In Healthcare Systems
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Author : Tawseef Ayoub Shaikh
language : en
Publisher: CRC Press
Release Date : 2023-01-03
Machine Learning And Artificial Intelligence In Healthcare Systems written by Tawseef Ayoub Shaikh and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-03 with Computers categories.
This book provides applications of machine learning in healthcare systems and seeks to close the gap between engineering and medicine by combining design and problem-solving skills of engineering with health sciences to advance healthcare treatment. Machine Learning and Artificial Intelligence in Healthcare Systems: Tools and Techniques discusses AI-based smart paradigms for reliable prediction of infectious disease dynamics; such paradigms can help prevent disease transmission. It highlights the different aspects of using extended reality for diverse healthcare applications and aggregates the current state of research. The book offers intelligent models of the smart recommender system for personal well-being services and computer-aided drug discovery and design methods. Case studies illustrating the business processes that underlie the use of big data and health analytics to improve healthcare delivery are center stage. Innovative techniques used for extracting user social behavior (known as sentiment analysis for healthcare-related purposes) round out the diverse array of topics this reference book covers. Contributions from experts in the field, this book is useful to healthcare professionals, researchers, and students of industrial engineering, systems engineering, biomedical, computer science, electronics, and communications engineering.
Intelligent Decision Support Systems A Journey To Smarter Healthcare
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Author : Smaranda Belciug
language : en
Publisher: Springer
Release Date : 2019-03-20
Intelligent Decision Support Systems A Journey To Smarter Healthcare written by Smaranda Belciug and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-20 with Computers categories.
The goal of this book is to provide, in a friendly and refreshing manner, both theoretical concepts and practical techniques for the important and exciting field of Artificial Intelligence that can be directly applied to real-world healthcare problems. Healthcare – the final frontier. Lately, it seems like Pandora opened the box and evil was released into the world. Fortunately, there was one thing left in the box: hope. In recent decades, hope has been increasingly represented by Intelligent Decision Support Systems. Their continuing mission: to explore strange new diseases, to seek out new treatments and drugs, and to intelligently manage healthcare resources and patients. Hence, this book is designed for all those who wish to learn how to explore, analyze and find new solutions for the most challenging domain of all time: healthcare.
Handbook Of Artificial Intelligence In Healthcare
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Author : Chee-Peng Lim
language : en
Publisher: Springer Nature
Release Date : 2021-11-26
Handbook Of Artificial Intelligence In Healthcare written by Chee-Peng Lim and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-26 with Technology & Engineering categories.
Artificial Intelligence (AI) has transformed many aspects of our daily activities. Health and well-being of humans stand as one of the key domains where AI has achieved significant progresses, saving time, costs, and potentially lives, as well as fostering economic resilience, particularly under the COVID-19 pandemic environments. This book is a sequel of the Handbook of Artificial Intelligence in Healthcare. The first volume of the Handbook is dedicated to present advances and applications of AI methodologies in several specific areas, i.e., signal, image, and video processing as well as information and data analytics. In this second volume of the Handbook, general practicality challenges and future prospects of AI methodologies pertaining to healthcare and related domains are presented in Part 1 and Part 2, respectively. It is envisaged that the selected studies will provide readers a general perspective on the issues, challenges, and opportunities in designing, developing, and implementing AI-based tools and solutions in the healthcare sector, bringing benefits to transform and advance health and well-being development of humans..
Machine Learning And Immersive Technologies For User Centered Digital Healthcare Innovation
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Author : Federico Colecchia
language : en
Publisher: Frontiers Media SA
Release Date : 2025-06-09
Machine Learning And Immersive Technologies For User Centered Digital Healthcare Innovation written by Federico Colecchia and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-09 with Science categories.
Emerging technologies such as machine learning and immersive technologies (including virtual reality and augmented reality) hold great potential for driving disruptive healthcare innovation. However, the adoption of digital technology in healthcare, including use of data-driven tools in support of clinical decision-making and patient-facing applications relying on consumer electronic devices, is often hindered by issues of user experience, trust, equitability, and fairness. There is increasing recognition of a need to facilitate further convergence between the development of emerging technologies and user-centered design research for healthcare, with a view to achieving a positive impact on patients, care professionals, and the healthcare system. This article collection addresses current development trends relating to user-centered digital healthcare innovation based on machine learning and immersive technologies, in order to identify opportunities associated with the deployment of new solutions in a range of environments – including clinical, domestic, and educational settings – and barriers to the adoption of technology by end users. A key aim is to identify opportunities for strengthening interdisciplinary collaboration as well as methods of lowering barriers and overcoming obstacles for the benefit of patients, care professionals, and the healthcare system. Examples of potential outcomes are effective design and use of solutions based on machine learning and immersive technologies to improve user experience, strategies to facilitate ethical development of digital technology for healthcare, and methods of encouraging adoption of advanced tools developed in line with principles of equitability and fairness. Articles should address issues of user-centered digital healthcare innovation driven by machine learning and immersive technologies. Submissions should ideally be positioned at the intersection of digital technology development with user-centered design, although contributions more technical in nature as well as user experience studies are also welcome. A non-exhaustive list of suitable topics and manuscript types is given below: • Machine learning and/or immersive technologies (including augmented reality and virtual reality) for user-centered digital healthcare. • Clinical decision support systems. • Patient-facing applications. • Tools for education and training of future medical professionals. • Potential barriers to adoption of technology: issues of user experience, trust, equitability, and fairness in digital healthcare. • Reviews and contributions discussing the development of intuitive, accessible, and inclusive digital interfaces. • All aspects of healthcare that are being or have the potential to be impacted by machine learning and immersive technologies.