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Diagnostic accuracy of artificial intelligence-based deep learning models in detecting furcation involvement: A systematic review and meta-analysis.

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Bibliographic Details
Title: Diagnostic accuracy of artificial intelligence-based deep learning models in detecting furcation involvement: A systematic review and meta-analysis.
Authors: Atieh MA; Mohammed Bin Rashid University of Medicine and Health Sciences, Hamdan Bin Mohammed College of Dental Medicine, Dubai Healthcare City, Dubai, UAE.; Sir John Walsh Research Institute, Faculty of Dentistry, University of Otago, Dunedin, New Zealand.; School of Dentistry, University of Jordan, Amman, Jordan., Shah M; Mohammed Bin Rashid University of Medicine and Health Sciences, Hamdan Bin Mohammed College of Dental Medicine, Dubai Healthcare City, Dubai, UAE., Hakam A; Mohammed Bin Rashid University of Medicine and Health Sciences, Hamdan Bin Mohammed College of Dental Medicine, Dubai Healthcare City, Dubai, UAE., Al-Karadsheh O; School of Dentistry, University of Jordan, Amman, Jordan., Zabadi S; College of Dentistry, The Ohio State University, Columbus, Ohio, USA., AlAli F; Mohammed Bin Rashid University of Medicine and Health Sciences, Hamdan Bin Mohammed College of Dental Medicine, Dubai Healthcare City, Dubai, UAE., Sachdev N; Mohammed Bin Rashid University of Medicine and Health Sciences, Hamdan Bin Mohammed College of Dental Medicine, Dubai Healthcare City, Dubai, UAE., Tawse-Smith A; Sir John Walsh Research Institute, Faculty of Dentistry, University of Otago, Dunedin, New Zealand., Alsabeeha NHM; Ajman University, College of Dentistry, Department of Restorative Dentistry, Ajman, UAE.
Source: Journal of periodontology [J Periodontol] 2026 Jul; Vol. 97 (7), pp. 1559-1574. Date of Electronic Publication: 2025 Dec 30.
Publication Type: Journal Article; Systematic Review; Meta-Analysis; Review
Journal Info: Publisher: American Academy of Periodontology Country of Publication: United States NLM ID: 8000345 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1943-3670 (Electronic) Linking ISSN: 00223492 NLM ISO Abbreviation: J Periodontol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1943-3670
DOI:10.1002/jper.70055