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The Hydronephrosis Severity Index guides paediatric antenatal hydronephrosis management based on artificial intelligence applied to ultrasound images alone.
Erdman L, Rickard M, Drysdale E, Skreta M, Hua SB, Sheth K, Alvarez D, Velaer KN, Chua ME, Dos Santos J, Keefe D, Rosenblum ND, Bonnett MA, Weaver J, Xiang A, Fan Y, Viteri B, Cooper CS, Tasian GE, Lorenzo AJ, Goldenberg A. Erdman L, et al. Sci Rep. 2024 Oct 1;14(1):22748. doi: 10.1038/s41598-024-72271-9. Sci Rep. 2024. PMID: 39349526 Free PMC article.
Standardized Reporting of Machine Learning Applications in Urology: The STREAM-URO Framework.
Kwong JCC, McLoughlin LC, Haider M, Goldenberg MG, Erdman L, Rickard M, Lorenzo AJ, Hung AJ, Farcas M, Goldenberg L, Nguan C, Braga LH, Mamdani M, Goldenberg A, Kulkarni GS. Kwong JCC, et al. Among authors: erdman l. Eur Urol Focus. 2021 Jul;7(4):672-682. doi: 10.1016/j.euf.2021.07.004. Epub 2021 Aug 3. Eur Urol Focus. 2021. PMID: 34362709
Posterior Urethral Valves Outcomes Prediction (PUVOP): a machine learning tool to predict clinically relevant outcomes in boys with posterior urethral valves.
Kwong JC, Khondker A, Kim JK, Chua M, Keefe DT, Dos Santos J, Skreta M, Erdman L, D'Souza N, Selman AF, Weaver J, Weiss DA, Long C, Tasian G, Teoh CW, Rickard M, Lorenzo AJ. Kwong JC, et al. Among authors: erdman l. Pediatr Nephrol. 2022 May;37(5):1067-1074. doi: 10.1007/s00467-021-05321-3. Epub 2021 Oct 22. Pediatr Nephrol. 2022. PMID: 34686914
Personalized application of machine learning algorithms to identify pediatric patients at risk for recurrent ureteropelvic junction obstruction after dismembered pyeloplasty.
Drysdale E, Khondker A, Kim JK, Kwong JCC, Erdman L, Chua M, Keefe DT, Lolas M, Dos Santos J, Tasian G, Rickard M, Lorenzo AJ. Drysdale E, et al. Among authors: erdman l. World J Urol. 2022 Feb;40(2):593-599. doi: 10.1007/s00345-021-03879-z. Epub 2021 Nov 13. World J Urol. 2022. PMID: 34773476
109 results