Thyroid pathology has great potential for automated/artificial intelligence (AI) algorithm application as the incidence of thyroid nodules is increasing and the indeterminate interpretation rate of fine-needle aspiration remains relatively high. The aim of the study is to review the published literature on automated image analysis and AI applications to thyroid pathology with whole-slide imaging (WSI).

Impact of Image Analysis and Artificial Intelligence in Thyroid Pathology, with particular reference to cytological aspects

Girolami, Ilaria;Marletta, Stefano;Torresani, Evelin;Ghimenton, Claudio;Scarpa, Aldo;Brunelli, Matteo;Barresi, Valeria;Eccher, Albino
2020

Abstract

Thyroid pathology has great potential for automated/artificial intelligence (AI) algorithm application as the incidence of thyroid nodules is increasing and the indeterminate interpretation rate of fine-needle aspiration remains relatively high. The aim of the study is to review the published literature on automated image analysis and AI applications to thyroid pathology with whole-slide imaging (WSI).
artificial intelligence; digital pathology; image analysis; systematic review; thyroid; whole-slide imaging
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11562/1015070
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