A smart, practical, deep learning-based clinical decision support tool for patients in the prostate-specific antigen gray zone: model development and validation.
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| Title: | A smart, practical, deep learning-based clinical decision support tool for patients in the prostate-specific antigen gray zone: model development and validation. |
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| Authors: | Song SH; Department of Urology, Seoul National University Bundang Hospital, Seongnam, South Korea.; Department of Urology, Seoul National University College of Medicine, Seoul, South Korea., Kim H; Department of Urology, Hallym University Sacred Heart Hospital, Anyang, South Korea., Kim JK; Department of Urology, Seoul National University Bundang Hospital, Seongnam, South Korea.; Department of Urology, Seoul National University College of Medicine, Seoul, South Korea., Lee H; Department of Urology, Seoul National University Bundang Hospital, Seongnam, South Korea.; Department of Urology, Seoul National University College of Medicine, Seoul, South Korea., Oh JJ; Department of Urology, Seoul National University Bundang Hospital, Seongnam, South Korea.; Department of Urology, Seoul National University College of Medicine, Seoul, South Korea., Lee SC; Department of Urology, Seoul National University Bundang Hospital, Seongnam, South Korea.; Department of Urology, Seoul National University College of Medicine, Seoul, South Korea., Jeong SJ; Department of Urology, Seoul National University Bundang Hospital, Seongnam, South Korea.; Department of Urology, Seoul National University College of Medicine, Seoul, South Korea., Hong SK; Department of Urology, Seoul National University Bundang Hospital, Seongnam, South Korea.; Department of Urology, Seoul National University College of Medicine, Seoul, South Korea., Lee J; Department of Urology, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, South Korea., Yoo S; Department of Urology, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, South Korea., Choo MS; Department of Urology, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, South Korea., Cho MC; Department of Urology, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, South Korea., Son H; Department of Urology, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, South Korea., Jeong H; Department of Urology, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, South Korea., Suh J; Department of Urology, Asan Medical Center, Seoul, South Korea.; Bioinformatics Center of Curigin Ltd., Seoul, South Korea., Byun SS; Department of Urology, Seoul National University Bundang Hospital, Seongnam, South Korea.; Department of Medical Device Development, Seoul National University College of Medicine, Seoul, South Korea.; Procagen, Seongnam, South Korea. |
| Source: | Journal of the American Medical Informatics Association : JAMIA [J Am Med Inform Assoc] 2022 Oct 07; Vol. 29 (11), pp. 1949-1957. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Oxford University Press Country of Publication: England NLM ID: 9430800 Publication Model: Print Cited Medium: Internet ISSN: 1527-974X (Electronic) Linking ISSN: 10675027 NLM ISO Abbreviation: J Am Med Inform Assoc Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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