- Title
- How Can We Show That Artificial Intelligence May Improve Our Assessment and Management of Lower Urinary Tract Dysfunctions?—ICI-RS 2024
- Creators
- Enrico Finazzi Agrò - University of Rome Tor VergataEleonora Rosato - University of Rome Tor VergataGeorge Bou Kheir - Ghent University HospitalKevin Rademakers - Zuyderland Medisch CentrumMárcio Augusto Averbeck - Hospital Moinhos de VentoTufan Tarcan - Koç UniversityHashim Hashim - Southmead HospitalAndrew Gammie - Southmead HospitalSanjay Sinha - Apollo HospitalsQi Xiang Song - Shanghai Jiao Tong UniversityRayan Mohamed-Ahmed - King's College HospitalAnasofia Da Silva - UCL Institute for Women's Health, London, United KingdomRiccardo Lombardo - Azienda Ospedaliera Sant'AndreaPaul Abrams - Southmead HospitalAlan Wein - University of MiamiGlenn T. Werneburg - Cleveland Clinic
- Publication Details
- Neurourology and urodynamics, Vol.44(3), pp.616-621
- Number of pages
- 6
- Academic Unit
- Miller School of Medicine; UMMG Department of Urology
- Language
- English
- Resource Type
- Journal article
- PMID
- 39450700
- Record Identifier
- 991032860815602976
Journal article
How Can We Show That Artificial Intelligence May Improve Our Assessment and Management of Lower Urinary Tract Dysfunctions?—ICI-RS 2024
Neurourology and urodynamics, Vol.44(3), pp.616-621
2025-03-01
PMID: 39450700
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