Application of STREAM-URO and APPRAISE-AI reporting standards for artificial intelligence studies in pediatric urology: A case example with pediatric hydronephrosis-Reference-Cited by-同舟云学术

Application of STREAM-URO and APPRAISE-AI reporting standards for artificial intelligence studies in pediatric urology: A case example with pediatric hydronephrosis

Published:2024-06 Issue:3 Volume:20 Page:455-467
ISSN:1477-5131
Container-title:Journal of Pediatric Urology
language:en
Short-container-title:Journal of Pediatric Urology

Author:

Khondker Adree^ORCID,Kwong Jethro C.C.^ORCID,Rickard Mandy,Erdman Lauren,Kim Jin K.^ORCID,Ahmad Ihtisham,Weaver John^ORCID,Fernandez Nicolas^ORCID,Tasian Gregory E.^ORCID,Kulkarni Girish S.,Lorenzo Armando J.^ORCID

Publisher

Elsevier BV

Reference33 articles.

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3. Khondker A, Kwong J, Malik S, Erdman L, Keefe D, Fernandez N, et al. The state of artificial intelligence in pediatric urology: a narrative review. Front Urol n.d.:52.

4. Predicting obstruction risk using common ultrasonography parameters in paediatric hydronephrosis with machine learning;Khondker;BJU Int,2024

5. Early detection of ureteropelvic junction obstruction using signal analysis and machine learning: a dynamic solution to a dynamic problem;Blum;J Urol,2018

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