Automated entry of paper-based patient-reported outcomes: Applying deep learning to the Japanese orthopaedic association back pain evaluation questionnaire.

Journal: Computers in biology and medicine
PMID: 38452472

Abstract

BACKGROUND: Health-related patient-reported outcomes (HR-PROs) are crucial for assessing the quality of life among individuals experiencing low back pain. However, manual data entry from paper forms, while convenient for patients, imposes a considerable tallying burden on collectors. In this study, we developed a deep learning (DL) model capable of automatically reading these paper forms.

Authors

  • Kosuke Kita
    Department of Artificial Intelligence Diagnostic Radiology, Osaka University Graduate School of Medicine, 2-2, Yamadaoka, Suita, Osaka, 565-0871, Japan.
  • Takahito Fujimori
    Department of Orthopaedic Surgery, Graduate School of Medicine, Osaka University, Osaka, Japan.
  • Yuki Suzuki
    Department of Artificial Intelligence Diagnostic Radiology, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka, 565-0871, Japan.
  • Takashi Kaito
    Department of Orthopaedic Surgery, Osaka University Graduate School of Medicine, Suita, Japan.
  • Shota Takenaka
    Department of Orthopedic Surgery, Japan Community Health Care Organization Osaka Hospital, Osaka, Japan.
  • Yuya Kanie
    Department of Orthopedic Surgery, Graduate School of Medicine, Osaka University, Osaka, Japan.
  • Masayuki Furuya
    Department of Orthopedic Surgery, Graduate School of Medicine, Osaka University, Osaka, Japan.
  • Tomohiro Wataya
    Department of Diagnostic and Interventional Radiology, Osaka International Cancer Institute, 3-1-69 Otemae, Chuo-ku, Osaka, 541-8567, Japan. wataya-osk@umin.ac.jp.
  • Daiki Nishigaki
    Department of Artificial Intelligence Diagnostic Radiology, Osaka University Graduate School of Medicine, 2-2, Yamadaoka, Suita, Osaka, 565-0871, Japan.
  • Junya Sato
    Faculty of Medicine, Osaka University, 2-2 Yamadaoka, Suita, Osaka, 5650871, Japan.
  • Noriyuki Tomiyama
    Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine, Suita, Osaka, Japan.
  • Seiji Okada
    Department of Orthopaedic Surgery, Osaka University Graduate School of Medicine, Suita, Japan.
  • Shoji Kido
    Graduate School of Medicine, Yamaguchi University, Tokiwadai 2-16-1, Ube, Yamaguchi, 755-8611, Japan.

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