Studies
Primary studies
26,293 studies included by 1,022 non-Cochrane dental reviews extracted from full text, one record per study, so a study included by several reviews is counted once. Most are randomized trials; etiology and diagnostic reviews also include observational and accuracy studies. Cochrane reviews and reviews with only their headline outcomes do not list their included studies here yet.
ReviewStudies included by Diagnostic Accuracy of Deep Learning Models in Detecting Peri-Implant Marginal Bone Loss: A Systematic Review and Meta-Analysis.. Show all studies
| Study | Year | Reviews | Review outcomes linked | Trial data |
|---|---|---|---|---|
| DEEP LEARNING-DRIVEN SEGMENTATION OF DENTAL IMPLANTS AND PERI-IMPLANTITIS DETECTION IN ORTHOPANTOMOGRAPHS: A NOVEL DIAGNOSTIC TOOL. Kibcak 2025 · Kibcak Erdoğan, Buhara Oğuz, et al. · The journal of evidence-based dental practice PMID:39947781 | 2025 | 1 | none stated | not extracted yet |
| Performance of artificial intelligence-based diagnosis and classification of peri-implantitis compared with periodontal surgeon assessment: a pilot… Lee 2025 · Lee Jae-Hong, Kim Yeon-Tae, et al. · Journal of periodontal & implant science PMID:40350773 | 2025 | 1 | none stated | not extracted yet |
| Establishing a novel deep learning model for detecting peri-implantitis. Lee 2024 · Lee Wei-Fang, Day Min-Yuh, et al. · Journal of dental sciences PMID:38618118 | 2024 | 1 | none stated | not extracted yet |
| Improving Dental Implant Outcomes: CNN-Based System Accurately Measures Degree of Peri-Implantitis Damage on Periapical Film. Chen 2023 · Chen Yi-Chieh, Chen Ming-Yi, et al. · Bioengineering (Basel, Switzerland) PMID:37370571 | 2023 | 1 | none stated | not extracted yet |
| A pilot study of a deep learning approach to detect marginal bone loss around implants. Liu 2022 · Liu Min, Wang Shimin, et al. · BMC oral health PMID:35034611 | 2022 | 1 | none stated | not extracted yet |