In Journal of pathology informatics ; h5-index 23.0
INTRODUCTION : Artificial intelligence (AI) is currently being used to augment histopathological diagnostics in pathology. This systematic review aims to evaluate the evolution of these AI-based diagnostic techniques for diagnosing head and neck neoplasms.
MATERIALS AND METHODS : Articles regarding the use of AI for head and neck pathology published from 1982 until March 2022 were evaluated based on a search strategy determined by a multidisciplinary team of pathologists and otolaryngologists. Data from eligible articles were summarized according to author, year of publication, country, study population, tumor details, study results, and limitations.
RESULTS : Thirteen articles were included according to inclusion criteria. The selected studies were published between 2012 and March 1, 2022. Most of these studies concern the diagnosis of oral cancer; in particular, 6 are related to the oral cavity, 2 to the larynx, 1 to the salivary glands, and 4 to head and neck squamous cell carcinoma not otherwise specified (NOS). As for the type of diagnostics considered, 12 concerned histopathology and 1 cytology.
DISCUSSION : Starting from the pathological examination, artificial intelligence tools are an excellent solution for implementing diagnosis capability. Nevertheless, today the unavailability of large training datasets is a main issue that needs to be overcome to realize the true potential.
Bassani Sara, Santonicco Nicola, Eccher Albino, Scarpa Aldo, Vianini Matteo, Brunelli Matteo, Bisi Nicola, Nocini Riccardo, Sacchetto Luca, Munari Enrico, Pantanowitz Liron, Girolami Ilaria, Molteni Gabriele
2022
Artificial intelligence, Diagnosis, Head and neck cancer, Pathology, Whole slide imaging
