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Article: Response to the Letter to the Editor: “A Deep Learning System to Predict Epithelial Dysplasia in Oral Leukoplakia”

TitleResponse to the Letter to the Editor: “A Deep Learning System to Predict Epithelial Dysplasia in Oral Leukoplakia”
Authors
Keywordsartificial intelligence
decision-making
early diagnosis
machine learning
oral carcinogenesis
oral oncology
Issue Date23-Apr-2025
PublisherSAGE Publications
Citation
Journal of Dental Research, 2025, v. 104, n. 6 How to Cite?
Persistent Identifierhttp://hdl.handle.net/10722/358119
ISSN
2023 Impact Factor: 5.7
2023 SCImago Journal Rankings: 1.909
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorAdeoye, J.-
dc.contributor.authorSu, Y. X.-
dc.date.accessioned2025-07-24T00:30:35Z-
dc.date.available2025-07-24T00:30:35Z-
dc.date.issued2025-04-23-
dc.identifier.citationJournal of Dental Research, 2025, v. 104, n. 6-
dc.identifier.issn0022-0345-
dc.identifier.urihttp://hdl.handle.net/10722/358119-
dc.languageeng-
dc.publisherSAGE Publications-
dc.relation.ispartofJournal of Dental Research-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectartificial intelligence-
dc.subjectdecision-making-
dc.subjectearly diagnosis-
dc.subjectmachine learning-
dc.subjectoral carcinogenesis-
dc.subjectoral oncology-
dc.titleResponse to the Letter to the Editor: “A Deep Learning System to Predict Epithelial Dysplasia in Oral Leukoplakia”-
dc.typeArticle-
dc.identifier.doi10.1177/00220345251329356-
dc.identifier.scopuseid_2-s2.0-105004297927-
dc.identifier.volume104-
dc.identifier.issue6-
dc.identifier.eissn1544-0591-
dc.identifier.isiWOS:001473827500001-
dc.identifier.issnl0022-0345-

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