Research graph
References from Artificial Intelligence for Radiographic Assessment and Severity Grading of Peri-Implant Marginal Bone Loss: A Systematic Review and Methodological Appraisal. Local targets link to admitted publications; unresolved targets remain external evidence.
Oral health-related quality of life of patients rehabilitated with fixed and removable implant-supported dental prostheses
10.1111/prd.12419 · 2022 · External reference
Clinical outcomes of dental implants in patients with and without history of periodontitis: A 20-year prospective study
10.1111/jcpe.13716 · 2022 · External reference
Longitudinal assessment of peri-implant diseases in patients with and without history of periodontitis: A 20-year follow-up study
2023 · External reference
Peri-implantitis as the consequence of errors in implant therapy
10.1111/prd.12482 · 2023 · External reference
Unresolved reference
2018 · External reference
Risk factors for periodontitis & peri-implantitis
10.1111/prd.12447 · 2022 · External reference
Statements from the Estepona consensus meeting on peri-implantitis
10.1111/cid.12017 · 2012 · External reference
Risk indicators for Peri-implantitis. A cross-sectional study with 916 implants
10.1111/clr.12772 · 2017 · External reference
Peri-Implantitis”: A Complication of a Foreign Body or a Man-Made “Disease
10.1111/cid.12427 · 2016 · External reference
Use of artificial intelligence in dentistry: Current clinical trends and research advances
2021 · External reference
American Dental Association Council on Scientific Affairs The use of dental radiographs: Update and recommendations
2006 · External reference
The Quality and Utility of Artificial Intelligence in Patient Care
2023 · External reference
Artificial intelligence (AI) in restorative dentistry: current trends and future prospects
10.1186/s12903-025-05989-1 · 2025 · External reference
Artificial Intelligence in Dentistry: A Descriptive Review
10.3390/bioengineering11121267 · 2024 · External reference
A deep-learning artificial intelligence system for assessment of root morphology of the mandibular first molar on panoramic radiography
10.1259/dmfr.20180218 · 2019 · External reference
An artifıcial ıntelligence approach to automatic tooth detection and numbering in panoramic radiographs
10.1186/s12880-021-00656-7 · 2021 · External reference
Artificial intelligence system for automatic deciduous tooth detection and numbering in panoramic radiographs
10.1259/dmfr.20200172 · 2021 · External reference
Diagnostic accuracy of artificial intelligence-assisted caries detection: A clinical evaluation
10.1186/s12903-024-04847-w · 2024 · External reference
Diagnostic Test Accuracy of Artificial Intelligence in Detecting Periapical Periodontitis on Two-Dimensional Radiographs: A Retrospective Study and Literature Review
10.3390/medicina59040768 · 2023 · External reference
PerioAI: A digital system for periodontal disease diagnosis from an intra-oral scan and cone-beam CT image
2025 · External reference
Detection of periodontal bone loss patterns and furcation defects from panoramic radiographs using deep learning algorithm: A retrospective study
10.1186/s12903-024-03896-5 · 2024 · External reference
Evaluating the Role of AI in Predicting the Success of Dental Implants Based on Preoperative CBCT Images: A Randomized Controlled Trial
10.4103/jpbs.jpbs_1117_23 · 2024 · External reference
Artificial intelligence serving pre-surgical digital implant planning: A scoping review
10.1016/j.jdent.2024.104862 · 2024 · External reference
Artificial intelligence in forensic medicine and forensic dentistry
2023 · External reference
Role of Artificial Intelligence (AI) in Patient Education and Communication in Dentistry
2024 · External reference
Revolutionizing healthcare: The role of artificial intelligence in clinical practice
10.1186/s12909-023-04698-z · 2023 · External reference
Chapter 5: Defining the review question
2023 · External reference
A quality assessment tool for artificial intelligence-centered diagnostic test accuracy studies: QUADAS-AI
10.1038/s41591-021-01517-0 · 2021 · External reference
QUADAS-2: A revised tool for the quality assessment of diagnostic accuracy studies
10.7326/0003-4819-155-8-201110180-00009 · 2011 · External reference
QUADAS-C: a tool for assessing risk of bias in comparative diagnostic accuracy studies
10.7326/m21-2234 · 2021 · External reference
Checklist for artificial intelligence in medical imaging (CLAIM): A guide for authors and reviewers
10.1148/ryai.2020200029 · 2020 · External reference
An Auxiliary Measurement Method for Marginal Bone Loss around Dental Implants Based on Periapical Radiographs
2025 · External reference
DEEP LEARNING-DRIVEN SEGMENTATION OF DENTAL IMPLANTS AND PERI-IMPLANTITIS DETECTION IN ORTHOPANTOMOGRAPHS: A NOVEL DIAGNOSTIC TOOL
10.1016/j.jebdp.2024.102058 · 2025 · External reference
Peri-Implant Bone Loss Measurement Using a Region-Based Convolutional Neural Network on Dental Periapical Radiographs
10.3390/jcm10051009 · 2021 · External reference
Establishing a novel deep learning model for detecting peri-implantitis
10.1016/j.jds.2023.11.017 · 2024 · External reference
Improving Dental Implant Outcomes: CNN-Based System Accurately Measures Degree of Peri-Implantitis Damage on Periapical Film
10.3390/bioengineering10060640 · 2023 · External reference
Detection and Classification of Peri-Implant Marginal Bone Loss in Cone-Beam Computed Tomography Using a Deep Learning Approach
10.1002/cre2.70308 · 2026 · External reference
Performance of artificial intelligence-based diagnosis and classification of peri-implantitis compared with periodontal surgeon assessment: a pilot study of panoramic radiograph analysis
10.5051/jpis.2500280014 · 2025 · External reference
Artificial Intelligence Techniques for Automatic Detection of Peri-implant Marginal Bone Remodeling in Intraoral Radiographs
10.1007/s10278-023-00880-3 · 2023 · External reference
A pilot study of a deep learning approach to detect marginal bone loss around implants
10.1186/s12903-021-02035-8 · 2022 · External reference
Automated assessment of peri-implant disease severity by deep learning and image processing in periapical radiographs
10.1016/j.jds.2025.08.015 · 2025 · External reference
Artificial intelligence in dentomaxillofacial radiology
10.4329/wjr.v14.i3.55 · 2022 · External reference
The use and performance of artificial intelligence applications in dental and maxillofacial radiology: A systematic review
10.1259/dmfr.20190107 · 2020 · External reference
Artificial Intelligence and Dentomaxillofacial Radiology Education: Innovations and Perspectives
10.3390/dj13060245 · 2025 · External reference
Current applications and development of artificial intelligence for digital dental radiography
10.1259/dmfr.20210197 · 2022 · External reference
Applications of artificial intelligence in dentomaxillofacial imaging: a systematic review
10.1016/j.oooo.2023.12.790 · 2024 · External reference
Artificial Intelligence in Dentistry: A Narrative Review of Diagnostic and Therapeutic Applications
10.12659/msm.946676 · 2025 · External reference
Dentistry in the Era of Artificial Intelligence: Medical Behavior and Clinical Responsibility
10.3390/prosthesis7040095 · 2025 · External reference
Comprehensive Insights into Artificial Intelligence for Dental Lesion Detection: A Systematic Review
10.3390/diagnostics14232768 · 2024 · External reference
Artificial Intelligence in Dentistry: A Concise Review of Reporting Checklists and Guidelines
10.1016/j.identj.2025.109322 · 2026 · External reference
AI-Powered Predictive Models in Implant Dentistry: Planning, Risk Assessment, and Outcomes
10.3390/jcm15010228 · 2025 · External reference
Accuracy of Artificial Intelligence Models in Detecting Peri-Implant Bone Loss: A Systematic Review
10.3390/diagnostics15060655 · 2025 · External reference
Robustness and reproducibility for AI learning in biomedical sciences: RENOIR
10.1038/s41598-024-51381-4 · 2024 · External reference
The Use of Artificial Intelligence in Caries Detection: A Review
10.3390/bioengineering11090936 · 2024 · External reference
AI-driven innovations for dental implant treatment planning: A systematic review
10.2186/jpr.jpr_d_24_00338 · 2026 · External reference
Diagnostic Accuracy of Deep Learning Models in Detecting Peri-Implant Marginal Bone Loss: A Systematic Review and Meta-Analysis
10.1111/clr.70090 · 2026 · External reference
AI detection of peri-implantitis on 2D radiographs: a systematic review and diagnostic accuracy assessment
10.1007/s10266-026-01412-5 · 2026 · External reference
Artificial Intelligence for Radiographic Diagnosis of Peri-Implantitis: A Comprehensive Review on Detection, Measurement, and Risk Stratification
10.3390/jcm15135210 · 2026 · External reference
