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Feasibility of a deep learning-based diagnostic platform to evaluate lower urinary tract disorders in men using simple uroflowmetry.
Bang, Seokhwan; Tukhtaev, Sokhib; Ko, Kwang Jin; Han, Deok Hyun; Baek, Minki; Jeon, Hwang Gyun; Cho, Baek Hwan; Lee, Kyu-Sung.
Affiliation
  • Bang S; Department of Urology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
  • Tukhtaev S; Medical AI Research Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
  • Ko KJ; Department of Urology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
  • Han DH; Department of Urology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
  • Baek M; Department of Urology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
  • Jeon HG; Department of Urology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
  • Cho BH; Medical AI Research Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea. baekhwan.cho@samsung.com.
  • Lee KS; Department of Urology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea. ksleedr@skku.edu.
Investig Clin Urol ; 63(3): 301-308, 2022 05.
Article in En | MEDLINE | ID: mdl-35437961

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Urinary Bladder Neck Obstruction / Lower Urinary Tract Symptoms / Deep Learning Type of study: Diagnostic_studies / Prognostic_studies Limits: Female / Humans / Male Language: En Journal: Investig Clin Urol Year: 2022 Document type: Article Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Urinary Bladder Neck Obstruction / Lower Urinary Tract Symptoms / Deep Learning Type of study: Diagnostic_studies / Prognostic_studies Limits: Female / Humans / Male Language: En Journal: Investig Clin Urol Year: 2022 Document type: Article Country of publication: