Artificial Intelligence in Pediatric Urology.

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Bibliographic Details
Title: Artificial Intelligence in Pediatric Urology.
Authors: Scott Wang HH; Computational Healthcare Analytics Program, Department of Urology, Boston Children's Hospital, 300 Longwood Avenue, Boston, MA, USA. Electronic address: scottwang3@gmail.com., Vasdev R; Department of Urology, Mayo Clinic Rochester, 200 1st Street Southwest, Rochester, MN 55905, USA., Nelson CP; Clinical and Health Services Research, Department of Urology, Boston Children's Hospital, 300 Longwood Avenue, Boston, MA, USA.
Source: The Urologic clinics of North America [Urol Clin North Am] 2024 Feb; Vol. 51 (1), pp. 91-103. Date of Electronic Publication: 2023 Sep 15.
Publication Type: Journal Article; Review
Journal Info: Publisher: Saunders Country of Publication: United States NLM ID: 0423221 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1558-318X (Electronic) Linking ISSN: 00940143 NLM ISO Abbreviation: Urol Clin North Am Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1558-318X
DOI:10.1016/j.ucl.2023.08.002