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Applicability and performance of convolutional neural networks for the identification of periodontal bone loss in periapical radiographs: a scoping review.

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Bibliographic Details
Title: Applicability and performance of convolutional neural networks for the identification of periodontal bone loss in periapical radiographs: a scoping review.
Authors: Putra RH; Department of Dentomaxillofacial Radiology, Faculty of Dental Medicine, Universitas Airlangga, Jalan Prof. Dr. Mayjen Moestopo No. 47, Surabaya, 60132, East Java, Indonesia. ramadhan.hardani@fkg.unair.ac.id., Astuti ER; Department of Dentomaxillofacial Radiology, Faculty of Dental Medicine, Universitas Airlangga, Jalan Prof. Dr. Mayjen Moestopo No. 47, Surabaya, 60132, East Java, Indonesia., Nurrachman AS; Department of Dentomaxillofacial Radiology, Faculty of Dental Medicine, Universitas Airlangga, Jalan Prof. Dr. Mayjen Moestopo No. 47, Surabaya, 60132, East Java, Indonesia., Savitri Y; Department of Dentomaxillofacial Radiology, Faculty of Dental Medicine, Universitas Airlangga, Jalan Prof. Dr. Mayjen Moestopo No. 47, Surabaya, 60132, East Java, Indonesia., Vadya AV; Bachelor of Dental Medicine Study Program, Faculty of Dental Medicine, Universitas Airlangga, Surabaya, Indonesia., Khairunisa ST; Bachelor of Dental Medicine Study Program, Faculty of Dental Medicine, Universitas Airlangga, Surabaya, Indonesia., Iikubo M; Division of Dental Informatics and Radiology, Tohoku University Graduate School of Dentistry, Sendai, Japan.
Source: Oral radiology [Oral Radiol] 2026 Jan; Vol. 42 (1), pp. 1-12. Date of Electronic Publication: 2025 Jul 09.
Publication Type: Journal Article; Scoping Review
Journal Info: Publisher: Springer-Verlag Tokyo Country of Publication: Japan NLM ID: 8806621 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1613-9674 (Electronic) Linking ISSN: 09116028 NLM ISO Abbreviation: Oral Radiol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1613-9674
DOI:10.1007/s11282-025-00839-w