Pathomics， the integration of digital pathology and artificial intelligence， is used to assess tumor diagnosis， treatment and prognosis by extracting， screening and analyzing the data features contained in pathological pictures. In recent years， more and more pathomics studies of head and neck neoplasms have shown great value in the areas of computer-assisted diagnosis， tumor microenvironment and biomarker identification as well as prognosis evaluation. It is expected to play an important role in clinical assistance and precise treatment of head and neck neoplasms in the future.