Effectiveness of Comprehensive Video Datasets: Toward the Development of an Artificial Intelligence Model for Ultrasonography-Based Severity Diagnosis of Carpal Tunnel Syndrome.

Abstract

Authors

• Tomohiko Waki
  Department of Orthopaedic and Spinal Surgery, Graduate School of Medical and Dental Sciences, Institute of Science Tokyo, Tokyo, Japan.
• Yukina Sato
  School of Science for Open and Environmental Systems, Graduate School of Science and Technology, Keio University, Yokohama, Japan.
• Kazuya Tsukamoto
  Department of Orthopedic and Spinal Surgery, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan.
• Eriku Yamada
  Department of Orthopaedic and Spinal Surgery, Graduate School of Medical and Dental Sciences, Institute of Science Tokyo, Tokyo, Japan.
• Akiko Yamamoto
  Departments of Molecular Biochemistry and Clinical Investigation Osaka University, Graduate School of Medicine Osaka Japan.
• Takuya Ibara
  Department of Functional Joint Anatomy, Biomedical Engineering Laboratory, Institute of Industry Incubation, Institute of Science Tokyo, Tokyo, Japan.
• Toru Sasaki
  Department of, Head and Neck, Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo, Japan.
• Tomoyuki Kuroiwa
  Department of Orthopedic Surgery, Mayo Clinic, Rochester, Minnesota, USA.
• Akimoto Nimura
  Department of Functional Joint Anatomy, Biomedical Engineering Laboratory, Institute of Industry Incubation, Institute of Science Tokyo, Tokyo, Japan.
• Yuta Sugiura
  Faculty of Science and Technology, Keio University, Yokohama 223-8522, Japan.
• Koji Fujita
  Department of Molecular Pathology, Tokyo Medical University, Shinjuku-ku, Tokyo, 160-8402, Japan.
• Toshitaka Yoshii
  Department of Orthopedics, Tokyo Medical and Dental University, Tokyo, JPN.

Keywords

External Resources