A deep learning-based prediction model for prognosis of cervical spine injury: a Japanese multicenter survey

• DOI: 10.1007/s00586-025-08708-0
• Publication Date: 2025-02-10T17:26:21Z
• Authors: Sadayuki Ito; Hiroaki Nakashima; Naoki Segi; Noriaki Yokogawa; Takeshi Sasagawa; Toru Funayama; Fumihiko Eto; Akihiro Yamaji; Kota Watanabe; Satoshi Nori; Kazuki Takeda; Takeo Furuya; Atsushi Yunde; Hideaki Nakajima; Tomohiro Yamada; Tomohiko Hasegawa; Yoshinori Terashima; Ryosuke Hirota; Hidenori Suzuki; Yasuaki Imajo; Shota Ikegami; Masashi Uehara; Hitoshi Tonomura; Munehiro Sakata; Ko Hashimoto; Yoshito Onoda; Kenichi Kawaguchi; Yohei Haruta; Nobuyuki Suzuki; Kenji Kato; Hiroshi Uei; Hirokatsu Sawada; Kazuo Nakanishi; Kosuke Misaki; Hidetomi Terai; Koji Tamai; Akiyoshi Kuroda; Gen Inoue; Kenichiro Kakutani; Yuji Kakiuchi; Katsuhito Kiyasu; Hiroyuki Tominaga; Hiroto Tokumoto; Yoichi Iizuka; Eiji Takasawa; Koji Akeda; Norihiko Takegami; Haruki Funao; Yasushi Oshima; Takashi Kaito; Daisuke Sakai; Toshitaka Yoshii; Tetsuro Ohba; Bungo Otsuki; Shoji Seki; Masashi Miyazaki; Masayuki Ishihara; Masahiro Oda; Seiji Okada; Shiro Imagama; Satoshi Kato
• Keywords: Cervical Spine Injury