{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T11:51:01Z","timestamp":1784202661619,"version":"3.55.0"},"reference-count":50,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2020,5,7]],"date-time":"2020-05-07T00:00:00Z","timestamp":1588809600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Cytopathology"],"published-print":{"date-parts":[[2020,9]]},"abstract":"<jats:sec><jats:title>Objective<\/jats:title><jats:p>Thyroid pathology has great potential for automated\/artificial intelligence algorithm application as the incidence of thyroid nodules is increasing and the indeterminate interpretation rate of fine\u2010needle aspiration remains relatively high. The aim of the study is to review the published literature on automated image analysis and artificial intelligence applications to thyroid pathology with whole\u2010slide imaging.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Systematic search was carried out in electronic databases. Studies dealing with thyroid pathology and use of automated algorithms applied to whole\u2010slide imaging were included. Quality of studies was assessed with a modified <jats:styled-content style=\"fixed-case\">QUADAS<\/jats:styled-content>\u20102 tool.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Of 919 retrieved articles, 19 were included. The main themes addressed were the comparison of automated assessment of immunohistochemical staining with manual pathologist's assessment, quantification of differences in cellular and nuclear parameters among tumour entities, and discrimination between benign and malignant nodules. Correlation coefficients with manual assessment were higher than 0.76 and diagnostic performance of automated models was comparable with an expert pathologist diagnosis. Computational difficulties were related to the large size of whole\u2010slide images.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>Overall, the results are promising and it is likely that, with the resolution of technical issues, the application of automated algorithms in thyroid pathology will increase and be adopted following suitable validation studies.<\/jats:p><\/jats:sec>","DOI":"10.1111\/cyt.12828","type":"journal-article","created":{"date-parts":[[2020,4,5]],"date-time":"2020-04-05T13:49:46Z","timestamp":1586094586000},"page":"432-444","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":61,"title":["Impact of image analysis and artificial intelligence in thyroid pathology, with particular reference to cytological aspects"],"prefix":"10.1111","volume":"31","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3537-4929","authenticated-orcid":false,"given":"Ilaria","family":"Girolami","sequence":"first","affiliation":[{"name":"Department of Pathology and Diagnostics University and Hospital Trust of Verona  Verona Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stefano","family":"Marletta","sequence":"additional","affiliation":[{"name":"Department of Pathology and Diagnostics University and Hospital Trust of Verona  Verona Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liron","family":"Pantanowitz","sequence":"additional","affiliation":[{"name":"Department of Pathology UPMC Shadyside Hospital University of Pittsburgh  Pittsburgh PA USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Evelin","family":"Torresani","sequence":"additional","affiliation":[{"name":"Department of Pathology and Diagnostics University and Hospital Trust of Verona  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