Litcius/Paper detail

Deep learning-based prediction model for postoperative complications of cervical posterior longitudinal ligament ossification

Sadayuki Ito, Hiroaki Nakashima, Toshitaka Yoshii, Satoru Egawa, Kenichiro Sakai, Kazuo Kusano, Shinji Tsutui, Takashi Hirai, Yu Matsukura, Kanichiro Wada, Keiichi Katsumi, Masao Koda, Atsushi Kimura, Takeo Furuya, Satoshi Maki, Narihito Nagoshi, Norihiro Nishida, Yukitaka Nagamoto, Yasushi Oshima, Kei Ando, Masahiko Takahata, Kanji Mori, Hideaki Nakajima, Kazuma Murata, Masayuki Miyagi, Takashi Kaito, Kei Yamada, Tomohiro Banno, Satoshi Kato, Tetsuro Ohba, Satoshi Inami, Shunsuke Fujibayashi, Hiroyuki Katoh, Haruo Kanno, Masahiro Oda, Kensaku Mori, Hiroshi Taneichi, Yoshiharu Kawaguchi, Katsushi Takeshita, Morio Matsumoto, Masashi Yamazaki, Atsushi Okawa, Shiro Imagama

2023European Spine Journal13 citationsDOI

Topics & Concepts

MedicineLogistic regressionOssification of the posterior longitudinal ligamentNeurosurgeryComplicationPosterior longitudinal ligamentDeep learningCervical vertebraeSurgeryProspective cohort studyRegressionOssificationRadiologyMyelopathyMachine learningSpinal cordInternal medicineStatisticsPsychiatryComputer scienceMathematicsCervical and Thoracic MyelopathySurgical Simulation and TrainingTotal Knee Arthroplasty Outcomes