most citedDevelopment and validation of an artificial intelligence model to accurately predict spinopelvic parameters

2 citations · 2 across the 1 of their papers we have counts for

collaborators

1 paper

cs.CV2024★ 2 cited

Development and validation of an artificial intelligence model to accurately predict spinopelvic parameters

Edward S. Harake, Joseph R. Linzey, Cheng Jiang +9

Objective. Achieving appropriate spinopelvic alignment has been shown to be associated with improved clinical symptoms. However, measurement of spinopelvic radiographic parameters…