[Diagnostic value of infrared thermography combined with support vector machine in preoperative prediction of cervical lymph node metastasis in oral cancer].

Researchers developed a machine learning model combining thermal imaging features with support vector machine analysis to predict cervical lymph node spread in oral cancer, achieving diagnostic accuracy comparable to standard imaging techniques in both internal and independent validation datasets.

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