[Comment] Use of artificial intelligence to enhance detection of nodal metastases

In oncology, the presence of lymph node metastases is one of the most important prognostic factors and its determination is an essential part of tumour staging.1 Before treatment, CT, MRI, ultrasound, and PET are the most common non-invasive techniques used for pretreatment cancer staging. However, despite the strengths of these techniques, their sensitivity for evaluation of early or micrometastases in small lymph nodes measuring less than 7–10 mm is low.2,3 As a result, for surgically treated diseases, the gold standard consists of pathological evaluation of resected nodal specimens.