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Application of STREAM-URO and APPRAISE-AI reporting standards for artificial intelligence studies in pediatric urology: A case example with pediatric hydronephrosis.
Khondker A, Kwong JCC, Rickard M, Erdman L, Kim JK, Ahmad I, Weaver J, Fernandez N, Tasian GE, Kulkarni GS, Lorenzo AJ. Khondker A, et al. Among authors: erdman l. J Pediatr Urol. 2024 Jan 29:S1477-5131(24)00050-0. doi: 10.1016/j.jpurol.2024.01.020. Online ahead of print. J Pediatr Urol. 2024. PMID: 38331659 Review.
Machine learning classification of multiple sclerosis in children using optical coherence tomography.
Ciftci Kavaklioglu B, Erdman L, Goldenberg A, Kavaklioglu C, Alexander C, Oppermann HM, Patel A, Hossain S, Berenbaum T, Yau O, Yea C, Ly M, Costello F, Mah JK, Reginald A, Banwell B, Longoni G, Ann Yeh E. Ciftci Kavaklioglu B, et al. Among authors: erdman l. Mult Scler. 2022 Dec;28(14):2253-2262. doi: 10.1177/13524585221112605. Epub 2022 Aug 9. Mult Scler. 2022. PMID: 35946086 Free PMC article.
Deep learning imaging features derived from kidney ultrasounds predict chronic kidney disease progression in children with posterior urethral valves.
Weaver JK, Milford K, Rickard M, Logan J, Erdman L, Viteri B, D'Souza N, Cucchiara A, Skreta M, Keefe D, Shah S, Selman A, Fischer K, Weiss DA, Long CJ, Lorenzo A, Fan Y, Tasian GE. Weaver JK, et al. Among authors: erdman l. Pediatr Nephrol. 2023 Mar;38(3):839-846. doi: 10.1007/s00467-022-05677-0. Epub 2022 Jul 22. Pediatr Nephrol. 2023. PMID: 35867160 Free PMC article.
100 results