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Artificial intelligence in head and neck cancer diagnosis.

Authors :: Bassani S
Santonicco N
Eccher A
Scarpa A
Vianini M
Brunelli M
Bisi N
Nocini R
Sacchetto L
Munari E
Pantanowitz L
Girolami I
Molteni G
Source :: Journal of pathology informatics [J Pathol Inform] 2022 Nov 08; Vol. 13, pp. 100153. Date of Electronic Publication: 2022 Nov 08 (Print Publication: 2022).
Publication Year :: 2022
Abstract: 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.<br />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.<br />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.<br />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.<br /> (© 2022 The Author(s).)