225 related articles for article (PubMed ID: 36547773)
1. Toward generalizing the use of artificial intelligence in nephrology and kidney transplantation.
Badrouchi S; Bacha MM; Hedri H; Ben Abdallah T; Abderrahim E
J Nephrol; 2023 May; 36(4):1087-1100. PubMed ID: 36547773
[TBL] [Abstract][Full Text] [Related]
2. Artificial Intelligence in Nephrology: Core Concepts, Clinical Applications, and Perspectives.
Niel O; Bastard P
Am J Kidney Dis; 2019 Dec; 74(6):803-810. PubMed ID: 31451330
[TBL] [Abstract][Full Text] [Related]
3. Artificial intelligence enabled applications in kidney disease.
Chaudhuri S; Long A; Zhang H; Monaghan C; Larkin JW; Kotanko P; Kalaskar S; Kooman JP; van der Sande FM; Maddux FW; Usvyat LA
Semin Dial; 2021 Jan; 34(1):5-16. PubMed ID: 32924202
[TBL] [Abstract][Full Text] [Related]
4. Artificial intelligence: a new field of knowledge for nephrologists?
Fayos De Arizón L; Viera ER; Pilco M; Perera A; De Maeztu G; Nicolau A; Furlano M; Torra R
Clin Kidney J; 2023 Dec; 16(12):2314-2326. PubMed ID: 38046016
[TBL] [Abstract][Full Text] [Related]
5. European Nephrologists' Attitudes toward the Application of Artificial Intelligence in Clinical Practice: A Comprehensive Survey.
Savoia M; Tripepi G; Goethel-Paal B; Baró Salvador ME; Ponce P; Voiculescu D; Pachmann M; Jirka T; Koc SK; Marcinkowski W; Cioffi M; Neri L; Usvyat L; Hymes JL; Maddux FW; Zoccali C; Stuard S
Blood Purif; 2024; 53(2):80-87. PubMed ID: 38008072
[TBL] [Abstract][Full Text] [Related]
6. Artificial Intelligence in Pediatric Nephrology-A Call for Action.
Filler G; Gipson DS; Iyamuremye D; Díaz González de Ferris ME
Adv Kidney Dis Health; 2023 Jan; 30(1):17-24. PubMed ID: 36723276
[TBL] [Abstract][Full Text] [Related]
7. Artificial intelligence-enabled decision support in nephrology.
Loftus TJ; Shickel B; Ozrazgat-Baslanti T; Ren Y; Glicksberg BS; Cao J; Singh K; Chan L; Nadkarni GN; Bihorac A
Nat Rev Nephrol; 2022 Jul; 18(7):452-465. PubMed ID: 35459850
[TBL] [Abstract][Full Text] [Related]
8. Artificial Intelligence in Kidney Transplantation: A Scoping Review.
Alamgir A; Hussein H; Abdelaal Y; Abd-Alrazaq A; Househ M
Stud Health Technol Inform; 2022 May; 294():254-258. PubMed ID: 35612067
[TBL] [Abstract][Full Text] [Related]
9. [Artificial intelligence: a new journey in nephrology].
Liu ZS
Zhonghua Yi Xue Za Zhi; 2023 May; 103(18):1355-1358. PubMed ID: 37150686
[TBL] [Abstract][Full Text] [Related]
10. Innovating Personalized Nephrology Care: Exploring the Potential Utilization of ChatGPT.
Miao J; Thongprayoon C; Suppadungsuk S; Garcia Valencia OA; Qureshi F; Cheungpasitporn W
J Pers Med; 2023 Dec; 13(12):. PubMed ID: 38138908
[TBL] [Abstract][Full Text] [Related]
11. Artificial Intelligence Reporting Guidelines' Adherence in Nephrology for Improved Research and Clinical Outcomes.
Salybekov AA; Wolfien M; Hahn W; Hidaka S; Kobayashi S
Biomedicines; 2024 Mar; 12(3):. PubMed ID: 38540219
[TBL] [Abstract][Full Text] [Related]
12. Big data in nephrology: Are we ready for the change?
Yang C; Kong G; Wang L; Zhang L; Zhao MH
Nephrology (Carlton); 2019 Nov; 24(11):1097-1102. PubMed ID: 31314170
[TBL] [Abstract][Full Text] [Related]
13. Using Artificial Intelligence Resources in Dialysis and Kidney Transplant Patients: A Literature Review.
Burlacu A; Iftene A; Jugrin D; Popa IV; Lupu PM; Vlad C; Covic A
Biomed Res Int; 2020; 2020():9867872. PubMed ID: 32596403
[TBL] [Abstract][Full Text] [Related]
14. Ideas and Spirit of the Balkan Cities Association of Nephrology, Dialysis, Transplantation and Artificial Organs (Bantao) Connect Nephrologists from the Balkan Cities - From the Foundation to the 15th Bantao Congress.
Polenakovic M; Spasovski G
Pril (Makedon Akad Nauk Umet Odd Med Nauki); 2019 Dec; 40(3):5-25. PubMed ID: 32109214
[TBL] [Abstract][Full Text] [Related]
15. Promises of Big Data and Artificial Intelligence in Nephrology and Transplantation.
Thongprayoon C; Kaewput W; Kovvuru K; Hansrivijit P; Kanduri SR; Bathini T; Chewcharat A; Leeaphorn N; Gonzalez-Suarez ML; Cheungpasitporn W
J Clin Med; 2020 Apr; 9(4):. PubMed ID: 32294906
[TBL] [Abstract][Full Text] [Related]
16. Classification of glomerular pathological findings using deep learning and nephrologist-AI collective intelligence approach.
Uchino E; Suzuki K; Sato N; Kojima R; Tamada Y; Hiragi S; Yokoi H; Yugami N; Minamiguchi S; Haga H; Yanagita M; Okuno Y
Int J Med Inform; 2020 Sep; 141():104231. PubMed ID: 32682317
[TBL] [Abstract][Full Text] [Related]
17. Artificial Intelligence in Acute Kidney Injury Prediction.
Bajaj T; Koyner JL
Adv Chronic Kidney Dis; 2022 Sep; 29(5):450-460. PubMed ID: 36253028
[TBL] [Abstract][Full Text] [Related]
18. Artificial Intelligence in Nephrology: How Can Artificial Intelligence Augment Nephrologists' Intelligence?
Xie G; Chen T; Li Y; Chen T; Li X; Liu Z
Kidney Dis (Basel); 2020 Jan; 6(1):1-6. PubMed ID: 32021868
[TBL] [Abstract][Full Text] [Related]
19. ARTIFICIAL INTELLIGENCE IN MEDICAL PRACTICE: REGULATIVE ISSUES AND PERSPECTIVES.
Pashkov VM; Harkusha AO; Harkusha YO
Wiad Lek; 2020; 73(12 cz 2):2722-2727. PubMed ID: 33611272
[TBL] [Abstract][Full Text] [Related]
20. Artificial Intelligence in Lung Cancer: Bridging the Gap Between Computational Power and Clinical Decision-Making.
Christie JR; Lang P; Zelko LM; Palma DA; Abdelrazek M; Mattonen SA
Can Assoc Radiol J; 2021 Feb; 72(1):86-97. PubMed ID: 32735493
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]