A proof-of-concept study demonstrates AI predicts soft tissue swelling risk after cervical surgery, suggesting innovative prevention strategies.
Our machine learning model effectively predicted risk of significant PSTS following single-level ACSS despite small sample size. Such findings offer new opportunities for risk stratification and prevention strategies. This study is a proof of concept for artificial intelligence (AI)-based risk stratification strategy; further external validation could improve its relevance in the clinical setting.
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Hwang et al. (2026) studied this question.
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