Diagnostic Accuracy of Deep Learning Models in Detecting Peri‐Implant Marginal Bone Loss: A Systematic Review and Meta‐Analysis

These models offer a promising adjunct for radiographic detection of marginal bone loss, supporting clinicians in early diagnosis and timely interventions.

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Publication Details

Journal
Clinical Oral Implants Research
Published
2026-01-21
DOI
https://doi.org/10.1111/clr.70090
Primary Topic
Dental Radiography and Imaging
Type
article
Field-Weighted Citation Impact
0.00

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article

Diagnostic Accuracy of Deep Learning Models in Detecting Peri‐Implant Marginal Bone Loss: A Systematic Review and Meta‐Analysis

Andrew Tawse‐Smith, Fawaghi AlAli, Abeer Essam Hakam, Nabeel H. M. Alsabeeha et al.
Clinical Oral Implants Research
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Diagnostic Accuracy of Deep Learning Models in Detecting Peri‐Implant Marginal Bone Loss: A Systematic Review and Meta‐Analysis

Andrew Tawse‐Smith, Fawaghi AlAli, Abeer Essam Hakam, Nabeel H. M. Alsabeeha, Maanas Shah, Momen A. Atieh, Samhar AlSayed
article en

Abstract

These models offer a promising adjunct for radiographic detection of marginal bone loss, supporting clinicians in early diagnosis and timely interventions.

Clinical Oral Implants Research
University of Jordan (JO), Ajman University (AE), Mohammed Bin Rashid University of Medicine and Health Sciences (AE), University of Otago (NZ)
University of Otago
Reduced inequalities
Openalex Percentile: Top 83%
Dental Radiography and Imaging
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