Neural Network Machine Learning for Determining Surgical Appropriateness in Head and Neck Subspecialty Referrals

Key Points

• This research aims to evaluate a machine learning tool for its effectiveness in determining surgical appropriateness for head and neck referrals.
• Development of a neural network machine learning model.
• External validation of the referral triage tool.
• Assessment of the tool's impact on consultation times.
• The tool successfully streamlined referral processes.
• Expedited surgical consultations were observed.
• Increased equitable access to head and neck cancer care was indicated.

Abstract