Machine Learning Analysis of Videourodynamics to Predict Incident Hydronephrosis in Patients With Spina Bifida
Automated extraction of features from pressure/volume recordings and fluoroscopic images of the bladder predicted incident hydronephrosis in patients with spina bifida.
Authors
- Reiley Broms
- Tyler Gaines (ORCID: https://orcid.org/0000-0002-3275-3213)
- Karl Godlewski (ORCID: https://orcid.org/0000-0002-6193-2819)
- Stephen A. Zderic (ORCID: https://orcid.org/0000-0003-3839-7106)
- Zoe S. Gan (ORCID: https://orcid.org/0000-0001-7190-8532)
- Jason Van Batavia (ORCID: https://orcid.org/0000-0002-1592-7824)
- John Weaver (ORCID: https://orcid.org/0000-0001-5516-9063)
- Maria Antony
- Bernarda Viteri (ORCID: https://orcid.org/0000-0001-5566-0768)
- Ariana L. Smith (ORCID: https://orcid.org/0000-0002-9784-2559)
- Gregory E. Tasian (ORCID: https://orcid.org/0000-0001-7136-1485)
- Madalyne Martin-Olenski
- Dana Weiß (ORCID: https://orcid.org/0000-0002-6045-8086)
- Maya Overland (ORCID: https://orcid.org/0000-0002-0118-3174)
- Lauren Erdman (ORCID: https://orcid.org/0000-0002-7106-2669)
- Jing Huang (ORCID: https://orcid.org/0009-0004-0988-4225)
- Christopher Long (ORCID: https://orcid.org/0000-0002-2783-7754)
- Yong Fan (ORCID: https://orcid.org/0000-0001-9977-6113)
- Dennis Head
- Joseph Logan
Institutions
- Cincinnati Children's Hospital Medical Center (US)
- Cleveland Clinic (US)
- Children's Hospital of Philadelphia (US)
- University of Pennsylvania (US)
Publication Details
- Journal
- The Journal of Urology
- Published
- 2025-03-25
- DOI
- https://doi.org/10.1097/ju.0000000000004547
- Citations
- 3
- Primary Topic
- Fetal and Pediatric Neurological Disorders
- Type
- article
- Field-Weighted Citation Impact
- 10.48
Funders
- Pennsylvania Department of Health
- Alnylam Pharmaceuticals
- Novo Nordisk
- National Institutes of Health