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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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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
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  Data: <searchLink fieldCode="AU" term="%22Atieh+MA%22">Atieh MA</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Shah+M%22">Shah M</searchLink>; Mohammed Bin Rashid University of Medicine and Health Sciences, Hamdan Bin Mohammed College of Dental Medicine, Dubai Healthcare City, Dubai, UAE.<br /><searchLink fieldCode="AU" term="%22Hakam+A%22">Hakam A</searchLink>; Mohammed Bin Rashid University of Medicine and Health Sciences, Hamdan Bin Mohammed College of Dental Medicine, Dubai Healthcare City, Dubai, UAE.<br /><searchLink fieldCode="AU" term="%22Al-Karadsheh+O%22">Al-Karadsheh O</searchLink>; School of Dentistry, University of Jordan, Amman, Jordan.<br /><searchLink fieldCode="AU" term="%22Zabadi+S%22">Zabadi S</searchLink>; College of Dentistry, The Ohio State University, Columbus, Ohio, USA.<br /><searchLink fieldCode="AU" term="%22AlAli+F%22">AlAli F</searchLink>; Mohammed Bin Rashid University of Medicine and Health Sciences, Hamdan Bin Mohammed College of Dental Medicine, Dubai Healthcare City, Dubai, UAE.<br /><searchLink fieldCode="AU" term="%22Sachdev+N%22">Sachdev N</searchLink>; Mohammed Bin Rashid University of Medicine and Health Sciences, Hamdan Bin Mohammed College of Dental Medicine, Dubai Healthcare City, Dubai, UAE.<br /><searchLink fieldCode="AU" term="%22Tawse-Smith+A%22">Tawse-Smith A</searchLink>; Sir John Walsh Research Institute, Faculty of Dentistry, University of Otago, Dunedin, New Zealand.<br /><searchLink fieldCode="AU" term="%22Alsabeeha+NHM%22">Alsabeeha NHM</searchLink>; Ajman University, College of Dentistry, Department of Restorative Dentistry, Ajman, UAE.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22American+Academy+of+Periodontology%22">American Academy of Periodontology </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>8000345 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1943-3670 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200223492%22">00223492 </searchLink><i>NLM ISO Abbreviation: </i>J Periodontol <i>Subsets: </i>MEDLINE
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        Value: 10.1002/jper.70055
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      – Code: eng
        Text: English
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      – TitleFull: Diagnostic accuracy of artificial intelligence-based deep learning models in detecting furcation involvement: A systematic review and meta-analysis.
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              Text: 2026 Jul
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