Machine learning algorithms for predicting future curve using first and second visit data in female adolescent idiopathic scoliosis patients
Shuhei Ohyama, Satoshi Maki, Toshiaki Kotani, Yosuke Ogata, Tsuyoshi Sakuma, Yasushi Iijima, Tsutomu Akazawa, Kazuhide Inage, Yasuhiro Shiga, Masahiro Inoue, Takahito Arai, Noriyasu Toshi, Soichiro Tokeshi, Kohei Okuyama, Susumu Tashiro, Noritaka Suzuki, Yawara Eguchi, Sumihisa Orita, Shohei Minami, Seiji Ohtori Eur Spine. 2025 Feb 4.doi: 10.1007/s00586-025-08680-9. Online ahead of print. Abstract Purpose: This study was designed to develop a machine learning (ML) model that predicts future Cobb angle in patients with adolescent idiopathic scoliosis (AIS) using minimal […]