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Panoramic Radiograph-Based Deep Learning Models for Diagnosis and Clinical Decision Support of Furcation Lesions in Primary Molars

Bibliographic Data

ID15715992
AuthorsNevra Karamüftüoğlu (0000-0002-5045-5551, University of Health Science, corresponding author), Ayşe BULUT (0000-0002-3893-5691, Yozgat Bozok Üniversitesi), Murat Akın (0000-0003-0001-1036, Gazi University), Şeref Sağıroğlu (0000-0003-0805-5818, Gazi University)
Year2025
Volume12
Issue11
Pages1517-1517
Publication date2025-11-09
Open AccessYes
TypeARTICLE
VenueChildren (JOURNAL)
Journal identifiersISSN: 2227-9067 • E-ISSN: 2227-9067
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/children12111517
PMID41300634
OpenAlexW4416093744
LanguageEN
References cited26

The proposed models have potential for standardizing diagnostic outcomes, especially in resource-limited settings and mobile clinical environments

Clinical decision support system · Clinical Practice · Decision support system · Deep learning · Molar · COVID-19 diagnosis using AI · Dental Radiography and Imaging · Dental Research and COVID-19

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    Open Access•Jan P Vandenbroucke, Erik Von Elm et al.•PLoS Medicine•2007

Highly citedNo

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