A smart, practical, deep learning-based clinical decision support tool for patients in the prostate-specific antigen gray zone: model development and validation.

Journal: Journal of the American Medical Informatics Association : JAMIA
Published Date:

Abstract

OBJECTIVE: Despite efforts to improve screening and early detection of prostate cancer (PC), no available biomarker has shown acceptable performance in patients with prostate-specific antigen (PSA) gray zones. We aimed to develop a deep learning-based prediction model with minimized parameters and missing value handling algorithms for PC and clinically significant PC (CSPC).

Authors

  • Sang Hun Song
    Department of Urology, Seoul National University Bundang Hospital, Seongnam, South Korea.
  • Hwanik Kim
    Department of Urology, Seoul National University Bundang Hospital, Seongnam, Korea.
  • Jung Kwon Kim
    Department of Urology, Seoul National University Bundang Hospital, Seongnam, South Korea.
  • Hakmin Lee
  • Jong Jin Oh
    Department of Urology, Seoul National University College of Medicine, Seoul, Korea.
  • Sang-Chul Lee
    Department of Computing Engineering, Inha University, 100 Inha-ro, Incheon, 22212, Republic of Korea.
  • Seong Jin Jeong
    Department of Urology, Seoul National University Bundang Hospital, Seongnam, South Korea.
  • Sung Kyu Hong
    Department of Urology, Seoul National University Bundang Hospital, Seongnam, Korea.
  • Junghoon Lee
    Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Baltimore, Maryland.
  • Sangjun Yoo
    Department of Urology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea .
  • Min-Soo Choo
    Department of Urology, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, South Korea.
  • Min Chul Cho
    Department of Urology, Seoul Metropolitan Government - Seoul National University Boramae Medical Center, Seoul, South Korea.
  • Hwancheol Son
    Department of Urology, Seoul Metropolitan Government - Seoul National University Boramae Medical Center, Seoul, South Korea.
  • Hyeon Jeong
    Department of Urology, Seoul National University College of Medicine, Seoul, South Korea.
  • Jungyo Suh
    Department of Urology, Hospital Medicine Center, Seoul National University Hospital, Seoul, South Korea.
  • Seok-Soo Byun
    Department of Urology, Seoul National University Bundang Hospital, Bundang, Korea.