ABSTRACT
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.
ABSTRACT
Large pathological sections can display tumors and the para-tumor tissues holistically and completely on one slice, which is beneficial to the whole observation and evaluation of tumors and their surrounding microenvironments, thus gaining a comprehensive understanding about the disease. With the gradual realization of digital pathology and advancement in computational pathology, artificial intelligence has made it possible to achieve accurate and individualized diagnosis and treatment of pancreatic tumors by linking up morphologies of different tumor cells and surrounding microenvironments with various types of data including image omics, gene proteomics and clinical data, which is both an opportunity and a challenge for Chinese researchers.