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For: Lorenz EC, Zaniletti I, Johnson BK, Petterson TM, Kremers WK, Schinstock CA, Amer H, Cheville AL, LeBrasseur NK, Winkelmayer WC, Navaneethan SD, Baez-Suarez A, Attia ZI, Lopez-Jimenez F, Friedman PA, Kennedy CC, Rule AD. Physiological Age by Artificial Intelligence-Enhanced Electrocardiograms as a Novel Risk Factor of Mortality in Kidney Transplant Candidates. Transplantation 2023;107:1365-1372. [PMID: 36780487 PMCID: PMC10205652 DOI: 10.1097/tp.0000000000004504] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/15/2023]
Number Cited by Other Article(s)
1
Saleh G, Sularz A, Liu CH, Lo Russo GV, Adi MZ, Attia Z, Friedman P, Gulati R, Alkhouli M. Artificial Intelligence Electrocardiogram-Derived Heart Age Predicts Long-Term Mortality After Transcatheter Aortic Valve Replacement. JACC. ADVANCES 2024;3:101171. [PMID: 39372454 PMCID: PMC11450920 DOI: 10.1016/j.jacadv.2024.101171] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 10/08/2024]
2
Barros A, German Mesner I, Nguyen NR, Moorman JR. Age prediction from 12-lead electrocardiograms using deep learning: a comparison of four models on a contemporary, freely available dataset. Physiol Meas 2024;45:08NT01. [PMID: 39048099 PMCID: PMC11334242 DOI: 10.1088/1361-6579/ad6746] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2024] [Revised: 06/05/2024] [Accepted: 07/24/2024] [Indexed: 07/27/2024]
3
Barros A, German-Mesner I, Rich Nguyen N, Moorman JR. Age Prediction From 12-lead Electrocardiograms Using Deep Learning: A Comparison of Four Models on a Contemporary, Freely Available Dataset. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.02.02.24302201. [PMID: 38352374 PMCID: PMC10862990 DOI: 10.1101/2024.02.02.24302201] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/31/2024]
4
Al Moussawy M, Lakkis ZS, Ansari ZA, Cherukuri AR, Abou-Daya KI. The transformative potential of artificial intelligence in solid organ transplantation. FRONTIERS IN TRANSPLANTATION 2024;3:1361491. [PMID: 38993779 PMCID: PMC11235281 DOI: 10.3389/frtra.2024.1361491] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/26/2023] [Accepted: 03/01/2024] [Indexed: 07/13/2024]
5
Chen C, Chen Z, Luo W, Xu Y, Yang S, Yang G, Chen X, Chi X, Xie N, Zeng Z. Ethical perspective on AI hazards to humans: A review. Medicine (Baltimore) 2023;102:e36163. [PMID: 38050218 PMCID: PMC10695628 DOI: 10.1097/md.0000000000036163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Accepted: 10/26/2023] [Indexed: 12/06/2023]  Open
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