دورية أكاديمية
أعرض في EDS

Toward generalizing the use of artificial intelligence in nephrology and kidney transplantation.

التفاصيل البيبلوغرافية
العنوان: Toward generalizing the use of artificial intelligence in nephrology and kidney transplantation.
المؤلفون: Badrouchi S; Department of Internal Medicine A, Charles Nicolle Hospital, Tunis, Tunisia. samarra.nephro@gmail.com.; Faculty of Medicine of Tunis, University of Tunis El Manar, Tunis, Tunisia. samarra.nephro@gmail.com., Bacha MM; Department of Internal Medicine A, Charles Nicolle Hospital, Tunis, Tunisia.; Faculty of Medicine of Tunis, University of Tunis El Manar, Tunis, Tunisia.; Laboratory of Kidney Transplantation Immunology and Immunopathology (LR03SP01), Charles Nicolle Hospital, Tunis, Tunisia., Hedri H; Department of Internal Medicine A, Charles Nicolle Hospital, Tunis, Tunisia.; Faculty of Medicine of Tunis, University of Tunis El Manar, Tunis, Tunisia., Ben Abdallah T; Department of Internal Medicine A, Charles Nicolle Hospital, Tunis, Tunisia.; Faculty of Medicine of Tunis, University of Tunis El Manar, Tunis, Tunisia.; Laboratory of Kidney Transplantation Immunology and Immunopathology (LR03SP01), Charles Nicolle Hospital, Tunis, Tunisia., Abderrahim E; Department of Internal Medicine A, Charles Nicolle Hospital, Tunis, Tunisia.; Faculty of Medicine of Tunis, University of Tunis El Manar, Tunis, Tunisia.
المصدر: Journal of nephrology [J Nephrol] 2023 May; Vol. 36 (4), pp. 1087-1100. Date of Electronic Publication: 2022 Dec 22.
نوع المنشور: Journal Article; Review
اللغة: English
بيانات الدورية: Publisher: Springer Country of Publication: Italy NLM ID: 9012268 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1724-6059 (Electronic) Linking ISSN: 11218428 NLM ISO Abbreviation: J Nephrol Subsets: MEDLINE
أسماء مطبوعة: Publication: 2014- : Heidelberg : Springer
Original Publication: Rome : Acta Medica,
مواضيع طبية MeSH: Nephrology* , Kidney Transplantation*, Humans ; Artificial Intelligence ; Nephrologists ; Clinical Decision-Making
مستخلص: With its robust ability to integrate and learn from large sets of clinical data, artificial intelligence (AI) can now play a role in diagnosis, clinical decision making, and personalized medicine. It is probably the natural progression of traditional statistical techniques. Currently, there are many unmet needs in nephrology and, more particularly, in the kidney transplantation (KT) field. The complexity and increase in the amount of data, and the multitude of nephrology registries worldwide have enabled the explosive use of AI within the field. Nephrologists in many countries are already at the center of experiments and advances in this cutting-edge technology and our aim is to generalize the use of AI among nephrologists worldwide. In this paper, we provide an overview of AI from a medical perspective. We cover the core concepts of AI relevant to the practicing nephrologist in a consistent and simple way to help them get started, and we discuss the technical challenges. Finally, we focus on the KT field: the unmet needs and the potential role that AI can play to fill these gaps, then we summarize the published KT-related studies, including predictive factors used in each study, which will allow researchers to quickly focus on the most relevant issues.
(© 2022. The Author(s) under exclusive licence to Italian Society of Nephrology.)
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فهرسة مساهمة: Keywords: Artificial intelligence; Kidney transplantation; Machine learning; Nephrology
تواريخ الأحداث: Date Created: 20221222 Date Completed: 20230531 Latest Revision: 20230601
رمز التحديث: 20231215
مُعرف محوري في PubMed: PMC9773693
DOI: 10.1007/s40620-022-01529-0
PMID: 36547773
قاعدة البيانات: MEDLINE
الوصف
تدمد:1724-6059
DOI:10.1007/s40620-022-01529-0