Clinical Studies, Big Data, and Artificial Intelligence in Nephrology and Transplantation PDF Download
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Author: Wisit Cheungpasitporn
Publisher: MDPI
ISBN: 3036511342
Category : Medical
Languages : en
Pages : 374
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Book Description
In recent years, artificial intelligence has increasingly been playing an essential role in diverse areas in medicine, assisting clinicians in patient management. In nephrology and transplantation, artificial intelligence can be utilized to enhance clinical care, such as through hemodialysis prescriptions and the follow-up of kidney transplant patients. Furthermore, there are rapidly expanding applications and validations of comprehensive, computerized medical records and related databases, including national registries, health insurance, and drug prescriptions. For this Special Issue, we made a call to action to stimulate researchers and clinicians to submit their invaluable works and present, here, a collection of articles covering original clinical research (single- or multi-center), database studies from registries, meta-analyses, and artificial intelligence research in nephrology including acute kidney injury, electrolytes and acid–base, chronic kidney disease, glomerular disease, dialysis, and transplantation that will provide additional knowledge and skills in the field of nephrology and transplantation toward improving patient outcomes.
Author: Wisit Cheungpasitporn
Publisher: MDPI
ISBN: 3036511342
Category : Medical
Languages : en
Pages : 374
Get Book Here
Book Description
In recent years, artificial intelligence has increasingly been playing an essential role in diverse areas in medicine, assisting clinicians in patient management. In nephrology and transplantation, artificial intelligence can be utilized to enhance clinical care, such as through hemodialysis prescriptions and the follow-up of kidney transplant patients. Furthermore, there are rapidly expanding applications and validations of comprehensive, computerized medical records and related databases, including national registries, health insurance, and drug prescriptions. For this Special Issue, we made a call to action to stimulate researchers and clinicians to submit their invaluable works and present, here, a collection of articles covering original clinical research (single- or multi-center), database studies from registries, meta-analyses, and artificial intelligence research in nephrology including acute kidney injury, electrolytes and acid–base, chronic kidney disease, glomerular disease, dialysis, and transplantation that will provide additional knowledge and skills in the field of nephrology and transplantation toward improving patient outcomes.
Author: Wisit Cheungpasitporn
Publisher:
ISBN: 9783036511351
Category :
Languages : en
Pages : 374
Get Book Here
Book Description
In recent years, artificial intelligence has increasingly been playing an essential role in diverse areas in medicine, assisting clinicians in patient management. In nephrology and transplantation, artificial intelligence can be utilized to enhance clinical care, such as through hemodialysis prescriptions and the follow-up of kidney transplant patients. Furthermore, there are rapidly expanding applications and validations of comprehensive, computerized medical records and related databases, including national registries, health insurance, and drug prescriptions. For this Special Issue, we made a call to action to stimulate researchers and clinicians to submit their invaluable works and present, here, a collection of articles covering original clinical research (single- or multi-center), database studies from registries, meta-analyses, and artificial intelligence research in nephrology including acute kidney injury, electrolytes and acid-base, chronic kidney disease, glomerular disease, dialysis, and transplantation that will provide additional knowledge and skills in the field of nephrology and transplantation toward improving patient outcomes.
Author: Geraldo Bezerra da Silva Junior
Publisher: Springer Nature
ISBN: 3031115708
Category : Medical
Languages : en
Pages : 538
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Book Description
Our world is facing unprecedented technological development, which affects all the sectors of society. The 4th industrial revolution has brought numerous advances that are currently integrated in our daily life, including artificial intelligence (A.I.), internet of things (IoT), genetic engineering, 3D-printing and robotics. The health care sector is one of the most impacted by these technologies of the so-called digital era. From the simple advent of medical records to robotic surgery, health care has significantly changed from the XX to XXI century and is constantly changing, incorporating novel technologies. Nephrology is itself an innovative branch of medicine, created as a discipline in the 1960s, with breakthrough inventions, such as the dialysis machine, which made it possible to prolong life of those who suffer from chronic kidney disease; kidney transplant, with point-of-care immunosuppression that favours maintenance of kidney allografts for long years; kidney biopsy, which made it possible to discover the mysteries of glomerulonephritis and nephropathology. Novel technologies, such as A.I., IoT, robotics, stem cells, 3D-printing, mHealth, eHealth and several others are starting to be applied in nephrology, with promising results. It is possible that a great part of these technologies will become routinely available in clinical practice, and the burden of kidney diseases will significantly decrease once prevention, prediction, detection, monitoring and treatment of kidney diseases are more precise, with patients taking part in the process and becoming more and more connected. This book gathers essential information on the technologies that have been applied in nephrology and that can be applied in the future, with real possibilities of improving the care of kidney diseases. At first glance, this work is directed to the entire nephrology community and all the healthcare professionals that deal with kidney diseases. Researchers from different fields, not directly linked to nephrology, may also be interested in the book since many of the topics presented are related to other areas and serve as examples of their uses in medicine, such as artificial intelligence, robotics, and big data. Finally, the content provides an important resource to medical students, discussing technologies that will certainly be integrated in their professional practice.
Author: Nguyen Thi Dieu Linh
Publisher: Springer Nature
ISBN: 9811630291
Category : Technology & Engineering
Languages : en
Pages : 91
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Book Description
This book highlights a timely and accurate insight at the endeavour of the bioinformatics and genomics clinicians from industry and academia to address the societal needs. The contents of the book unearth the lacuna between the medication and treatment in the current preventive medicinal and pharmaceutical system. It contains chapters prepared by experts in life sciences along with data scientists for examining the circumstances of health care system for the next decade. It also highlights the automated processes for analyzing data in clinical trial research, specifically for drug development. Additionally, the data science solutions provided in this book help pharmaceutical companies to improve on what had historically been manual, costly and laborious process for cross-referencing research in clinical trials on drug development, while laying the groundwork for use with a full range of other drugs for the conditions ranging from tuberculosis, to diabetes, to heart attacks and many others.
Author: Folkert W. Asselbergs
Publisher: Springer Nature
ISBN: 3031366786
Category : Medical
Languages : en
Pages : 279
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Book Description
This book is a thorough and comprehensive guide to the use of modern data science within health care. Critical to this is the use of big data and its analytical potential to obtain clinical insight into issues that would otherwise have been missed and is central to the application of artificial intelligence. It therefore has numerous uses from diagnosis to treatment. Clinical Applications of Artificial Intelligence in Real-World Data is a critical resource for anyone interested in the use and application of data science within medicine, whether that be researchers in medical data science or clinicians looking for insight into the use of these techniques.
Author: Harry Yang
Publisher: CRC Press
ISBN: 100065267X
Category : Business & Economics
Languages : en
Pages : 335
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Book Description
The confluence of big data, artificial intelligence (AI), and machine learning (ML) has led to a paradigm shift in how innovative medicines are developed and healthcare delivered. To fully capitalize on these technological advances, it is essential to systematically harness data from diverse sources and leverage digital technologies and advanced analytics to enable data-driven decisions. Data science stands at a unique moment of opportunity to lead such a transformative change. Intended to be a single source of information, Data Science, AI, and Machine Learning in Drug Research and Development covers a wide range of topics on the changing landscape of drug R & D, emerging applications of big data, AI and ML in drug development, and the build of robust data science organizations to drive biopharmaceutical digital transformations. Features Provides a comprehensive review of challenges and opportunities as related to the applications of big data, AI, and ML in the entire spectrum of drug R & D Discusses regulatory developments in leveraging big data and advanced analytics in drug review and approval Offers a balanced approach to data science organization build Presents real-world examples of AI-powered solutions to a host of issues in the lifecycle of drug development Affords sufficient context for each problem and provides a detailed description of solutions suitable for practitioners with limited data science expertise
Author: Pradeep N
Publisher: Elsevier
ISBN: 0128216336
Category : Science
Languages : en
Pages : 372
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Book Description
Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics presents the changing world of data utilization, especially in clinical healthcare. Various techniques, methodologies, and algorithms are presented in this book to organize data in a structured manner that will assist physicians in the care of patients and help biomedical engineers and computer scientists understand the impact of these techniques on healthcare analytics. The book is divided into two parts: Part 1 covers big data aspects such as healthcare decision support systems and analytics-related topics. Part 2 focuses on the current frameworks and applications of deep learning and machine learning, and provides an outlook on future directions of research and development. The entire book takes a case study approach, providing a wealth of real-world case studies in the application chapters to act as a foundational reference for biomedical engineers, computer scientists, healthcare researchers, and clinicians. Provides a comprehensive reference for biomedical engineers, computer scientists, advanced industry practitioners, researchers, and clinicians to understand and develop healthcare analytics using advanced tools and technologies Includes in-depth illustrations of advanced techniques via dataset samples, statistical tables, and graphs with algorithms and computational methods for developing new applications in healthcare informatics Unique case study approach provides readers with insights for practical clinical implementation
Author: Erik R. Ranschaert
Publisher: Springer
ISBN: 3319948784
Category : Medical
Languages : en
Pages : 373
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Book Description
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.
Author: Charat Thongprayoon
Publisher:
ISBN: 9783039364077
Category :
Languages : en
Pages : 270
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Book Description
Advances in immunosuppression and kidney transplant techniques have led to significant improvements in the short-term survival of the renal allograft. Long-term graft survival, however, has relatively lagged behind and has now become one of the main problems in kidney transplantation. In this Special Issue, we discuss the recent research developments in kidney transplants that may affect long-term allografts, as well as the survival of the patient. The latest developments in living kidney donation are also explored.
Author: Wisit Cheungpasitporn
Publisher: MDPI
ISBN: 3039360868
Category : Medical
Languages : en
Pages : 574
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Book Description
Acute kidney injury (AKI) is a frequent clinical syndrome among hospitalized patients, independently associated with both short- and long-term mortality. Previous investigations attempted to identify effective interventions to prevent AKI or promote kidney function recovery in patients with AKI. Most were unsuccessful. Hence, additional studies are required in the field of AKI research. In this Special Issue, we are making a call to action to stimulate researchers and clinicians to submit their studies on AKI conducted in nephrology, internal medicine, critical care, and other disciplines that will provide additional knowledge and skills in the field of AKI research, ultimately to improve patient outcomes.
