Clinical Studies, Big Data, and Artificial Intelligence in Nephrology and Transplantation
Language: English
Published by MDPI, 2021
- Hardcover
- New
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Clinical Studies, Big Data, and Artificial Intelligence in Nephrology and Transplantation, edited by Wisit Cheungpasitporn and Wisit Kaewput, is a 374-page medical collection published by MDPI in 2021. It gathers original clinical research, registry- and database-driven studies, meta-analyses, and artificial intelligence research centered on kidney disease and transplantation medicine. The subject coverage is broad within its specialty: acute kidney injury, chronic kidney disease, glomerular disease, electrolytes and acid-base balance, dialysis, and kidney transplantation all receive attention. A recurring theme is the application of AI tools - including machine learning approaches to hemodialysis prescriptions and transplant patient follow-up - alongside studies that mine large computerized medical record databases such as national registries and health insurance datasets. This is a working reference for researchers and clinicians in nephrology and transplantation who are engaging with the current wave of data-driven and AI-assisted clinical investigation. The volume is published in English and measures approximately 6.69 × 9.61 inches, making it a substantial desk or library reference.…
Seller Inventory # BMC26262n1h4
- Title
- Clinical Studies, Big Data, and Artificial Intelligence in Nephrology and Transplantation
- Author
- Wisit Cheungpasitporn, Wisit Kaewput
- Publisher
- MDPI
- Publication year
- 2021
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 3036511342
- ISBN 13
- 9783036511344
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.
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