A deep learning-based prediction model for prognosis of cervical spine injury: a Japanese multicenter survey.
Ito S, Nakashima H, Segi N, Yokogawa N, Sasagawa T, Funayama T, Eto F, Yamaji A, Watanabe K, Nori S, Takeda K, Furuya T, Yunde A, Nakajima H, Yamada T, Hasegawa T, Terashima Y, Hirota R, Suzuki H, Imajo Y, Ikegami S, Uehara M, Tonomura H, Sakata M, Hashimoto K, Onoda Y, Kawaguchi K, Haruta Y, Suzuki N, Kato K, Uei H, Sawada H, Nakanishi K, Misaki K, Terai H, Tamai K, Kuroda A, Inoue G, Kakutani K, Kakiuchi Y, Kiyasu K, Tominaga H, Tokumoto H, Iizuka Y, Takasawa E, Akeda K, Takegami N, Funao H, Oshima Y, Kaito T, Sakai D, Yoshii T, Ohba T, Otsuki B, Seki S, Miyazaki M, Ishihara M, Oda M, Okada S, Imagama S, Kato S.
Ito S, et al. Among authors: takegami n.
Eur Spine J. 2025 Sep;34(9):3714-3723. doi: 10.1007/s00586-025-08708-0. Epub 2025 Feb 10.
Eur Spine J. 2025.
PMID: 39930051