Artificial intelligence–based detection of acute postoperative airway complications following anterior cervical spine surgery: a retrospective imaging evaluation

Key Points

• The research aims to evaluate an AI model's effectiveness in predicting airway complications after cervical spine surgery.
• Retrospective analysis using imaging data from CT and radiographs
• Development of a predictive AI model for airway compromise
• Comparison of model performance across imaging environments
• The AI model demonstrated strong predictive potential for airway compromise
• Variability was noted between CT and radiographic environments
• Initial findings indicate a need for further validation studies to confirm effectiveness.