Literature DB >> 32294906

Promises of Big Data and Artificial Intelligence in Nephrology and Transplantation.

Charat Thongprayoon1, Wisit Kaewput2, Karthik Kovvuru3, Panupong Hansrivijit4, Swetha R Kanduri3, Tarun Bathini5, Api Chewcharat1, Napat Leeaphorn6, Maria L Gonzalez-Suarez3, Wisit Cheungpasitporn3.   

Abstract

Kidney diseases form part of the major health burdens experienced all over the world. Kidney diseases are linked to high economic burden, deaths, and morbidity rates. The great importance of collecting a large quantity of health-related data among human cohorts, what scholars refer to as "big data", has increasingly been identified, with the establishment of a large group of cohorts and the usage of electronic health records (EHRs) in nephrology and transplantation. These data are valuable, and can potentially be utilized by researchers to advance knowledge in the field. Furthermore, progress in big data is stimulating the flourishing of artificial intelligence (AI), which is an excellent tool for handling, and subsequently processing, a great amount of data and may be applied to highlight more information on the effectiveness of medicine in kidney-related complications for the purpose of more precise phenotype and outcome prediction. In this article, we discuss the advances and challenges in big data, the use of EHRs and AI, with great emphasis on the usage of nephrology and transplantation.

Entities:  

Keywords:  acute kidney injury; artificial intelligence; big data; chronic kidney disease; kidney transplantation; machine learning; nephrology; transplantation

Year:  2020        PMID: 32294906     DOI: 10.3390/jcm9041107

Source DB:  PubMed          Journal:  J Clin Med        ISSN: 2077-0383            Impact factor:   4.241


  12 in total

Review 1.  AI applications in renal pathology.

Authors:  Yuankai Huo; Ruining Deng; Quan Liu; Agnes B Fogo; Haichun Yang
Journal:  Kidney Int       Date:  2021-02-10       Impact factor: 10.612

Review 2.  Machine Learning for Renal Pathologies: An Updated Survey.

Authors:  Roberto Magherini; Elisa Mussi; Yary Volpe; Rocco Furferi; Francesco Buonamici; Michaela Servi
Journal:  Sensors (Basel)       Date:  2022-07-01       Impact factor: 3.847

3.  Progress and Recent Advances in Solid Organ Transplantation.

Authors:  Charat Thongprayoon; Wisit Kaewput; Pattharawin Pattharanitima; Wisit Cheungpasitporn
Journal:  J Clin Med       Date:  2022-04-11       Impact factor: 4.964

4.  The Use of Donor-Derived Cell-Free DNA for Assessment of Allograft Rejection and Injury Status.

Authors:  Charat Thongprayoon; Pradeep Vaitla; Iasmina M Craici; Napat Leeaphorn; Panupong Hansrivijit; Sohail Abdul Salim; Tarun Bathini; Franco H Cabeza Rivera; Wisit Cheungpasitporn
Journal:  J Clin Med       Date:  2020-05-14       Impact factor: 4.241

5.  Serum Klotho in Living Kidney Donors and Kidney Transplant Recipients: A Meta-Analysis.

Authors:  Charat Thongprayoon; Javier A Neyra; Panupong Hansrivijit; Juan Medaura; Napat Leeaphorn; Paul W Davis; Wisit Kaewput; Tarun Bathini; Sohail Abdul Salim; Api Chewcharat; Narothama Reddy Aeddula; Saraschandra Vallabhajosyula; Michael A Mao; Wisit Cheungpasitporn
Journal:  J Clin Med       Date:  2020-06-12       Impact factor: 4.241

6.  Incidence and impact of acute kidney injury on patients with implantable left ventricular assist devices: a Meta-analysis.

Authors:  Charat Thongprayoon; Ploypin Lertjitbanjong; Wisit Cheungpasitporn; Panupong Hansrivijit; Tibor Fülöp; Karthik Kovvuru; Swetha R Kanduri; Paul W Davis; Saraschandra Vallabhajosyula; Tarun Bathini; Kanramon Watthanasuntorn; Narut Prasitlumkum; Ronpichai Chokesuwattanaskul; Supawat Ratanapo; Michael A Mao; Kianoush Kashani
Journal:  Ren Fail       Date:  2020-11       Impact factor: 2.606

7.  Degree of Glomerulosclerosis in Procurement Kidney Biopsies from Marginal Donor Kidneys and Their Implications in Predicting Graft Outcomes.

Authors:  Wisit Cheungpasitporn; Charat Thongprayoon; Pradeep K Vaitla; Api Chewcharat; Panupong Hansrivijit; Felicitas L Koller; Michael A Mao; Tarun Bathini; Sohail Abdul Salim; Sreelatha Katari; Lee S Cummings; Eddie Island; Jameson Forster; Napat Leeaphorn
Journal:  J Clin Med       Date:  2020-05-14       Impact factor: 4.241

8.  Identification of glomerulosclerosis using IBM Watson and shallow neural networks.

Authors:  Francesco Pesce; Federica Albanese; Davide Mallardi; Michele Rossini; Giuseppe Pasculli; Paola Suavo-Bulzis; Antonio Granata; Antonio Brunetti; Giacomo Donato Cascarano; Vitoantonio Bevilacqua; Loreto Gesualdo
Journal:  J Nephrol       Date:  2022-01-18       Impact factor: 4.393

9.  Clinically Distinct Subtypes of Acute Kidney Injury on Hospital Admission Identified by Machine Learning Consensus Clustering.

Authors:  Charat Thongprayoon; Pradeep Vaitla; Voravech Nissaisorakarn; Michael A Mao; Jose L Zabala Genovez; Andrea G Kattah; Pattharawin Pattharanitima; Saraschandra Vallabhajosyula; Mira T Keddis; Fawad Qureshi; John J Dillon; Vesna D Garovic; Kianoush B Kashani; Wisit Cheungpasitporn
Journal:  Med Sci (Basel)       Date:  2021-09-24

10.  Recent Advances and Clinical Outcomes of Kidney Transplantation.

Authors:  Charat Thongprayoon; Panupong Hansrivijit; Napat Leeaphorn; Prakrati Acharya; Aldo Torres-Ortiz; Wisit Kaewput; Karthik Kovvuru; Swetha R Kanduri; Tarun Bathini; Wisit Cheungpasitporn
Journal:  J Clin Med       Date:  2020-04-22       Impact factor: 4.964

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