Neural Network Machine Learning for Determining Surgical Appropriateness in Head and Neck Subspecialty Referrals | Synapse
April 10, 2026Open Access
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
This externally validated tool demonstrates potential to streamline referral triage, expedite surgical consultation, and enhance equitable access to head and neck cancer care.