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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 Jun;20(3):455-467. doi: 10.1016/j.jpurol.2024.01.020. Epub 2024 Jan 29. J Pediatr Urol. 2024. PMID: 38331659 Review.
Development of machine learning models predicting mortality using routinely collected observational health data from 0-59 months old children admitted to an intensive care unit in Bangladesh: critical role of biochemistry and haematology data.
Das S, Erdman L, Brals D, Boczek B, Hasan SMT, Massara P, Alam MA, Fahim SM, Mahfuz M, Hoogendoorn M, Zuiderent-Jerak T, Bandsma RHJ, Ahmed T, Voskuijl W. Das S, et al. Among authors: erdman l. BMJ Paediatr Open. 2024 Jul 22;8(1):e002365. doi: 10.1136/bmjpo-2023-002365. BMJ Paediatr Open. 2024. PMID: 39038911 Free PMC article.
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.
Early prediction of pediatric asthma in the Canadian Healthy Infant Longitudinal Development (CHILD) birth cohort using machine learning.
He P, Moraes TJ, Dai D, Reyna-Vargas ME, Dai R, Mandhane P, Simons E, Azad MB, Hoskinson C, Petersen C, Del Bel KL, Turvey SE, Subbarao P, Goldenberg A, Erdman L. He P, et al. Among authors: erdman l. Pediatr Res. 2024 Jun;95(7):1818-1825. doi: 10.1038/s41390-023-02988-2. Epub 2024 Jan 11. Pediatr Res. 2024. PMID: 38212387 Free PMC article.
106 results