Radiation-Induced Xerostomia in Patients With Head and Neck Cancer Treated With Comprehensive Salivary Gland-Sparing Helical Tomotherapy Technique Based on a Back Propagation Artificial Neural Network.
Researchers developed an artificial neural network model to predict which head and neck cancer patients treated with salivary gland-sparing radiotherapy would develop dry mouth, identifying age, gender, and submandibular gland radiation dose as key risk factors.
A plain-English summary of the study's own findings — we don't add our own claims or interpretation. Read the full paper for the complete methods and results, and apply your own clinical judgement.
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