Artificial Intelligence Based Computer Aided Diagnosis Applications For Brain Disorders From Medical Imaging Data Volume Ii
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Artificial Intelligence Based Computer Aided Diagnosis Applications For Brain Disorders From Medical Imaging Data Volume Ii
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Author : Ahmed Shalaby
language : en
Publisher: Frontiers Media SA
Release Date : 2023-08-02
Artificial Intelligence Based Computer Aided Diagnosis Applications For Brain Disorders From Medical Imaging Data Volume Ii written by Ahmed Shalaby 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 2023-08-02 with Science categories.
Artificial Intelligence In Medicine And Surgery
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Author :
language : en
Publisher: BoD – Books on Demand
Release Date : 2024-11-20
Artificial Intelligence In Medicine And Surgery written by and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-20 with Computers categories.
Never before in human history has the opportunity to create a better future look more real or promising. The information-technology revolution that started in the mid-twentieth century with the introduction of the transistor, and then the integrated circuit, has gradually transformed into the Internet revolution, then the blockchain revolution, and now is transforming again into the artificial intelligence (AI) revolution. Why is now such a pivotal time, with so much optimism for a better future? The answer is complex and multifaceted. Perhaps most importantly, the introduction of low-cost, AI-enabled technological advances creates an ideal environment for the rapid attainment of global equity across multiple sectors of society and economy. Healthcare in general and medicine in particular stand to benefit tremendously from this new, previously unavailable capacity—a result of the synergistic effects of modern, cutting-edge technologies working together. For example, greater access to decentralized, locally based, AI-aided/facilitated medical education may help fulfill the dreams of individuals who previously were not able to become physicians. In another example, increasing the use of point-of-care AI/ML in the clinical setting promises to bring true precision medicine to populations that previously did not have adequate access to healthcare in general. The level of positive disruption possible with optimized, ethical, and thoughtful implementation of AI in healthcare may produce constructive ripple effects not dissimilar to the introduction of cellular telephony into areas of the world without prior telephone access. This book discusses both current trends and future developments in AI/ML across healthcare, with a focus on the transformational impact of this emerging technological domain on enhancing the access, accuracy, education, equity, quality, safety, and value of modern care delivery.
Extracting Insights From Digital Public Health Data Using Artificial Intelligence Volume Ii
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Author : Steven Fernandes
language : en
Publisher: Frontiers Media SA
Release Date : 2024-04-19
Extracting Insights From Digital Public Health Data Using Artificial Intelligence Volume Ii written by Steven Fernandes 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 2024-04-19 with Medical categories.
This Research Topic is a follow on from the Topic Editors' successful volume I. Artificial Intelligence (AI) has the ability to perform automated/case-based reasoning, constraint processing, deep learning, and deep reinforcement learning. Recent advancements in AI techniques and GPU (graphics processing unit) computing capabilities have made it possible to process large volumes of data and extract valuable insights within a short period. Digital public health data are enormous, and harnessing AI's power can lead to exciting and ground-breaking research. Due to the current COVID-19 pandemic, AI can assist in disease surveillance methods, infectious disease modeling, non-contact temperature screening, intelligent contact tracking, detecting social/economic factors on transmission, effective health communication and misinformation detection, identifying factors that affect the mental and emotional health of the public.
Artificial Intelligence Theory And Applications
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Author : Harish Sharma
language : en
Publisher: Springer Nature
Release Date : 2024-02-27
Artificial Intelligence Theory And Applications written by Harish Sharma and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-27 with Computers categories.
This book features a collection of high-quality research papers presented at International Conference on Artificial Intelligence: Theory and Applications (AITA 2023), held during 11–12 August 2023 in Bengaluru, India. The book is divided into two volumes and presents original research and review papers related to artificial intelligence and its applications in various domains including health care, finance, transportation, education, and many more.
Artificial Intelligence For Drug Development Precision Medicine And Healthcare
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Author : Mark Chang
language : en
Publisher: CRC Press
Release Date : 2020-05-12
Artificial Intelligence For Drug Development Precision Medicine And Healthcare written by Mark Chang and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-12 with Business & Economics categories.
Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare covers exciting developments at the intersection of computer science and statistics. While much of machine-learning is statistics-based, achievements in deep learning for image and language processing rely on computer science’s use of big data. Aimed at those with a statistical background who want to use their strengths in pursuing AI research, the book: · Covers broad AI topics in drug development, precision medicine, and healthcare. · Elaborates on supervised, unsupervised, reinforcement, and evolutionary learning methods. · Introduces the similarity principle and related AI methods for both big and small data problems. · Offers a balance of statistical and algorithm-based approaches to AI. · Provides examples and real-world applications with hands-on R code. · Suggests the path forward for AI in medicine and artificial general intelligence. As well as covering the history of AI and the innovative ideas, methodologies and software implementation of the field, the book offers a comprehensive review of AI applications in medical sciences. In addition, readers will benefit from hands on exercises, with included R code.
Hypergraph Computation
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Author : Qionghai Dai
language : en
Publisher: Springer Nature
Release Date : 2023-06-16
Hypergraph Computation written by Qionghai Dai and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-16 with Computers categories.
This open access book discusses the theory and methods of hypergraph computation. Many underlying relationships among data can be represented using graphs, for example in the areas including computer vision, molecular chemistry, molecular biology, etc. In the last decade, methods like graph-based learning and neural network methods have been developed to process such data, they are particularly suitable for handling relational learning tasks. In many real-world problems, however, relationships among the objects of our interest are more complex than pair-wise. Naively squeezing the complex relationships into pairwise ones will inevitably lead to loss of information which can be expected valuable for learning tasks. Hypergraph, as a generation of graph, has shown superior performance on modelling complex correlations compared with graph. Recent years have witnessed a great popularity of researches on hypergraph-related AI methods, which have been used in computer vision, social media analysis, etc. We summarize these attempts as a new computing paradigm, called hypergraph computation, which is to formulate the high-order correlations underneath the data using hypergraph, and then conduct semantic computing on the hypergraph for different applications. The content of this book consists of hypergraph computation paradigms, hypergraph modelling, hypergraph structure evolution, hypergraph neural networks, and applications of hypergraph computation in different fields. We further summarize recent achievements and future directions on hypergraph computation in this book.
Radiomics And Radiogenomics In Neuro Oncology
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Author : Sanjay Saxena
language : en
Publisher: Elsevier
Release Date : 2024-10-15
Radiomics And Radiogenomics In Neuro Oncology written by Sanjay Saxena and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-15 with Medical categories.
Radiomics and Radiogenomics in Neuro-Oncology: An Artificial Intelligence Paradigm—Volume 2: Genetics and Clinical Applications provides readers with a broad and detailed framework for radiomics and radiogenomics (R-n-R) approaches with AI in neuro-oncology. It delves into the study of cancer biology and genomics, presenting methods and techniques for analyzing these elements. The book also highlights current solutions that R-n-R can offer for personalized patient treatments, as well as discusses the limitations and future prospects of AI technologies.Volume 1: Radiogenomics Flow Using Artificial Intelligence covers the genomics and molecular study of brain cancer, medical imaging modalities and their analysis in neuro-oncology, and the development of prognostic and predictive models using radiomics.Volume 2: Genetics and Clinical Applications extends the discussion to imaging signatures that correlate with molecular characteristics of brain cancer, clinical applications of R-n-R in neuro-oncology, and the use of Machine Learning and Deep Learning approaches for R-n-R in neuro-oncology. - Includes coverage of foundational concepts of the emerging fields of Radiomics and Radiogenomics - Covers imaging signatures for brain cancer molecular characteristics, including Isocitrate Dehydrogenase Mutations (IDH), TP53 Mutations, ATRX loss, MGMT gene, Epidermal Growth Factor Receptor (EGFR), and other mutations - Presents clinical applications of R-n-R in neuro-oncology such as risk stratification, survival prediction, heterogeneity analysis, as well as early and accurate prognosis - Provides in-depth technical coverage of radiogenomics studies for difference brain cancer types, including glioblastoma, astrocytoma, CNS lymphoma, meningioma, acoustic neuroma, and hemangioblastoma
State Of The Art In Neural Networks And Their Applications
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Author : Jasjit Suri
language : en
Publisher: Elsevier
Release Date : 2022-11-29
State Of The Art In Neural Networks And Their Applications written by Jasjit Suri and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-29 with Science categories.
State of the Art in Neural Networks and Their Applications, Volume Two presents the latest advances in artificial neural networks and their applications across a wide range of clinical diagnoses. The book provides over views and case studies of advances in the role of machine learning, artificial intelligence, deep learning, cognitive image processing, and suitable data analytics useful for clinical diagnosis and research applications. The application of neural network, artificial intelligence and machine learning methods in biomedical image analysis have resulted in the development of computer-aided diagnostic (CAD) systems that aim towards the automatic early detection of several severe diseases. State of the Art in Neural Networks and Their Applications is presented in two volumes. Volume One: Neural Networks in Oncology Imaging covers lung cancer, prostate cancer, and bladder cancer. Volume Two: Neural Networks in Brain Disorders and Other Diseases covers autism spectrum disorder, Alzheimer's disease, attention deficit hyperactivity disorder, hypertension, and other diseases. Written by experienced engineers in the field, these two volumes will help engineers, computer scientists, researchers, and clinicians understand the technology and applications of artificial neural networks. - Includes applications of neural networks, AI, machine learning, and deep learning techniques to a variety of oncology imaging technologies - Provides in-depth technical coverage of computer-aided diagnosis (CAD), including coverage of computer-aided classification, unified deep learning frameworks, 3D MRI, PET/CT, and more - Covers deep learning cancer identification from histopathological images, medical image analysis, detection, segmentation and classification via AI
Generative Ai Techniques For Sustainability In Healthcare Security
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Author : Shah, Imdad Ali
language : en
Publisher: IGI Global
Release Date : 2024-12-02
Generative Ai Techniques For Sustainability In Healthcare Security written by Shah, Imdad Ali and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-02 with Medical categories.
In a world of constant change, sustainability and technology emerge as pivotal elements in healthcare. Generative artificial intelligence (AI) presents the capabilities of more accurate diagnoses, personalized treatment plans, and drug discovery, while certain operations in healthcare, such as managing relationships with healthcare systems often necessitate a human touch, these processes can be augmented by generative AI. Sustainability and health security are becoming increasingly important. The relationship between sustainability and health security is significant, as environmental factors such as air pollution, climate change, and access to green spaces can all affect human health. Generative AI Techniques for Sustainability in Healthcare Security provides a comprehensive understanding of generative AI techniques and their application for sustainability in health security, empowering readers with the knowledge needed to leverage these cutting-edge technologies effectively. Covering topics such as disease detection, drug discovery and development, and sustainability, this book is a valuable resource for scientists, medical professionals, hospital administrators, researchers, technologists, academicians, and more.
Big Data Management In Sensing
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Author : Renny Fernandez
language : en
Publisher: CRC Press
Release Date : 2022-09-01
Big Data Management In Sensing written by Renny Fernandez and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-01 with Science categories.
The book is centrally focused on human computer Interaction and how sensors within small and wide groups of Nano-robots employ Deep Learning for applications in industry. It covers a wide array of topics that are useful for researchers and students to gain knowledge about AI and sensors in nanobots. Furthermore, the book explores Deep Learning approaches to enhance the accuracy of AI systems applied in medical robotics for surgical techniques. Secondly, we plan to explore bio-nano-robotics, which is a field in nano-robotics, that deals with automatic intelligence handling, self-assembly and replication, information processing and programmability.