Advances In Ai Based Tools For Personalized Cancer Diagnosis Prognosis And Treatment
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Advances In Ai Based Tools For Personalized Cancer Diagnosis Prognosis And Treatment
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Author : Israel Tojal Da Silva
language : en
Publisher: Frontiers Media SA
Release Date : 2022-09-21
Advances In Ai Based Tools For Personalized Cancer Diagnosis Prognosis And Treatment written by Israel Tojal Da Silva 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 2022-09-21 with Science categories.
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
Precision Medicine And Artificial Intelligence
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Author : Michael Mahler
language : en
Publisher: Elsevier
Release Date : 2021-03-17
Precision Medicine And Artificial Intelligence written by Michael Mahler and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-17 with Medical categories.
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
Deep Learning For Cancer Diagnosis
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Author : Utku Kose
language : en
Publisher: Springer Nature
Release Date : 2020-09-12
Deep Learning For Cancer Diagnosis written by Utku Kose and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-12 with Technology & Engineering categories.
This book explores various applications of deep learning to the diagnosis of cancer,while also outlining the future face of deep learning-assisted cancer diagnostics. As is commonly known, artificial intelligence has paved the way for countless new solutions in the field of medicine. In this context, deep learning is a recent and remarkable sub-field, which can effectively cope with huge amounts of data and deliver more accurate results. As a vital research area, medical diagnosis is among those in which deep learning-oriented solutions are often employed. Accordingly, the objective of this book is to highlight recent advanced applications of deep learning for diagnosing different types of cancer. The target audience includes scientists, experts, MSc and PhD students, postdocs, and anyone interested in the subjects discussed. The book can be used as a reference work to support courses on artificial intelligence, medical and biomedicaleducation.
Artificial Intelligence And Precision Oncology
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Author : Zodwa Dlamini
language : en
Publisher: Springer Nature
Release Date : 2023-01-21
Artificial Intelligence And Precision Oncology written by Zodwa Dlamini and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-21 with Medical categories.
This book highlights the use of artificial intelligence (AI), big data and precision oncology for medical decision making in cancer screening, diagnosis, prognosis and treatment. Precision oncology has long been thought of as ideal for the management and treatment of cancer. This strategy promises to revolutionize the treatment, control, and prevention of cancer by tailoring tests, treatments and predictions to specific individuals or population groups. In order to accomplish these goals, vast amounts of patient or population group specific data needs to be integrated and analysed to be able to identify key patterns or features which can be used to define or characterize the disease or the response to the disease in these individuals. These patterns or features can be as varied as molecular patterns or features in medical images. This level of data analysis and integration can only be achieved through the use of AI. The book is divided into three parts starting with a section on the use of artificial intelligence for screening, diagnosis and monitoring in precision oncology. The second part: Artificial intelligence and Omics in precision oncology, highlights the use of AI and epigenetics, metabolomics, microbiomics in precision oncology. The third part covers artificial intelligence in cancer therapy and its clinical applications. It also highlights the use of AI tools for risk prediction, early detection, diagnosis and accurate prognosis. This book, written by experts in the field from academia and industry, will appeal to cancer researchers, clinical oncologists, pathologists, medical students, academic teaching staff and medical residents interested in cancer research as well as those specialising as clinical oncologists.
Artificial Intelligence In Medical Imaging
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Author : Erik R. Ranschaert
language : en
Publisher: Springer
Release Date : 2019-01-29
Artificial Intelligence In Medical Imaging written by Erik R. Ranschaert and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-29 with Medical categories.
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 implicationsfor 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.
Lung Cancer And Environmental Toxicants
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Author : Kamal Dua
language : en
Publisher: Academic Press
Release Date : 2025-05-23
Lung Cancer And Environmental Toxicants written by Kamal Dua and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-23 with Science categories.
Lung Cancer and Environmental Toxicants aims to explore the intricate relationship between lung cancer and environmental toxicants, shedding light on a hidden link that demands urgent attention. This groundbreaking book addresses a critical gap in the current literature by introducing a pioneering exploration of the interplay between lung cancer and environmental toxicants. Previous articles have not coalesced into a comprehensive examination of the complex connection between lung cancer development and the diverse array of environmental toxicants. This book delves into the latest scientific research and clinical findings to offer a clear way forward for healthcare workers to assess and treat lung cancer patients who may have been exposed to these substances. "Lung Cancer and Environmental Toxicants" provides a precise view of the impact of environmental toxicants on lung cancer, covering various aspects including epidemiology, molecular mechanisms, exposure pathways, and preventive measures. This unique and timely work will pave the way for a deeper understanding of the underexplored factors contributing to lung cancer incidence, offering novel insights into the role of various toxic substances in disease causation. This significant title will catalyze new avenues of research and awareness in the fields of oncology, environmental health, and public policy. - Unlocks the intricate nexus between lung cancer and environmental toxicants, offering an unprecedented exploration of complex mechanisms and interactions for advancing research in oncology and environmental health - Takes a global perspective on lung cancer and environmental toxicants, considering the prevalence of the disease and its causes in different regions of the world, as well as addressing the challenges faced by developing nations - Presents rigorous, evidence-based research on the effects of toxicants on the human lung, ensuring the book's indispensability
Navigating Innovations And Challenges In Travel Medicine And Digital Health
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Author : Saurabh Agarwal
language : en
Publisher: IGI Global
Release Date : 2025
Navigating Innovations And Challenges In Travel Medicine And Digital Health written by Saurabh Agarwal 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 with Business & Economics categories.
"This book explores critical issues at the crossroads of travel medicine and digital health, aiming to prepare doctors, policymakers, technology developers, and public health officials with in-depth analyses and practical solutions"-- Provided by publisher.
Artificial Intelligence Based System Models In Healthcare
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Author : A. Jose Anand
language : en
Publisher: John Wiley & Sons
Release Date : 2024-10-29
Artificial Intelligence Based System Models In Healthcare written by A. Jose Anand 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 2024-10-29 with Computers categories.
Artificial Intelligence-Based System Models in Healthcare provides a comprehensive and insightful guide to the transformative applications of AI in the healthcare system. This book is a groundbreaking exploration of the synergies between artificial intelligence and healthcare innovation. In an era where technological advancements are reshaping the landscape of medical practices, this book provides a comprehensive and insightful guide to the transformative applications of AI in healthcare systems. From conceptual foundations to practical implementations, the book serves as a roadmap for understanding the intricate relationships between AI-based system models and the evolution of healthcare delivery. The first section delves into the fundamental role of technology in reshaping the healthcare landscape. With a focus on daily life activities, decision support systems, vision-based management, and semantic frameworks, this section lays the groundwork for understanding the pivotal role of AI in revolutionizing traditional healthcare approaches. Each chapter offers a unique perspective, emphasizing the intricate integration of technology into healthcare ecosystems. The second section takes a deep dive into specific applications of AI, ranging from predictive analysis and machine learning to deep learning, image analysis, and biomedical text processing. With a focus on decision-making support systems, this section aims to demystify the complex world of AI algorithms in healthcare, offering valuable insights into their practical implications and potential impact on patient outcomes. The final section addresses the modernization of healthcare practices and envisions the future landscape of AI applications. From medical imaging and diagnostics to predicting ventilation needs in intensive care units, modernizing health record maintenance, natural language processing, chatbots for medical inquiries, secured health insurance management, and glimpses into the future, the book concludes by exploring the frontiers of AI-driven healthcare innovations. Audience This book is intended for researchers and postgraduate students in artificial intelligence and the biomedical and healthcare sectors. Medical administrators, policymakers and regulatory specialists will also have an interest.
Ai And Blockchain In Healthcare
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Author : Bipin Kumar Rai
language : en
Publisher: Springer Nature
Release Date : 2023-04-30
Ai And Blockchain In Healthcare written by Bipin Kumar Rai and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-30 with Computers categories.
This book presents state-of-the-art blockchain and AI advances in health care. Healthcare service is increasingly creating the scope for blockchain and AI applications to enter the biomedical and healthcare world. Today, blockchain, AI, ML, and deep learning are affecting every domain. Through its cutting-edge applications, AI and ML are helping transform the healthcare industry for the better. Blockchain is a decentralization communication platform that has the potential to decentralize the way we store data and manage information. Blockchain technology has potential to reduce the role of middleman, one of the most important regulatory actors in our society. Transactions are simultaneously secure and trustworthy due to the use of cryptographic principles. In recent years, blockchain technology has become very trendy and has penetrated different domains, mostly due to the popularity of cryptocurrencies. One field where blockchain technology has tremendous potential is health care, due to the need for a more patient-centric approach in healthcare systems to connect disparate systems and to increase the accuracy of electronic healthcare records (EHRs).