ArticleDiagnostics (Basel, Switzerland)2022
Diagnosis of Tooth Prognosis Using Artificial Intelligence.
Article in Diagnostics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The Potential of Artificial Intelligence in Prosthodontics: A Comprehensive Review.Medical science monitor : international medical journal of experimental and clinical research · 2024Pooled it
- AI Integration in Brazilian Master's Curricula and Its Implications in Dental Education.International journal of dentistry · 2026Article
- Artificial Intelligence in The Diagnosis, Treatment, and Prognostication in Endodontics: A Comprehensive Literature Review.European endodontic journal · 2025Review
- Embracing Artificial Intelligence in Dental Practice: An Exploratory Study of Romanian Clinicians' Perspectives and Experiences.Dentistry journal · 2025Article
- Artificial intelligence in dentistry: insights and expectations from Swiss dental professionals.BMC medical informatics and decision making · 2025Article
- Artificial Intelligence (AI) in Endodontics: A Review.Journal of pharmacy & bioallied sciences · 2025Review
- Artificial intelligence (AI) in restorative dentistry: current trends and future prospects.BMC oral health · 2025Review
- Applications of Artificial Intelligence in Dental Medicine: A Critical Review.International dental journal · 2025Review
- Implications of artificial intelligence in periodontal treatment maintenance: a scoping review.Frontiers in oral health · 2025Review
- Artificial intelligence application in endodontics: A narrative review.Imaging science in dentistry · 2024Review
- Artificial Intelligence in Periodontics: A Comprehensive Review.Journal of pharmacy & bioallied sciences · 2024Review
- Second Opinion for Non-Surgical Root Canal Treatment Prognosis Using Machine Learning Models.Diagnostics (Basel, Switzerland) · 2023Article
- Classification of Maxillofacial Morphology by Artificial Intelligence Using Cephalometric Analysis Measurements.Diagnostics (Basel, Switzerland) · 2023Article
- Advancements in Dentistry with Artificial Intelligence: Current Clinical Applications and Future Perspectives.Healthcare (Basel, Switzerland) · 2022Article
- Machine Learning in Predicting Tooth Loss: A Systematic Review and Risk of Bias Assessment.Journal of personalized medicine · 2022Review
- Review
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The accurate diagnosis of individual tooth prognosis has to be determined comprehensively in consideration of the broader treatment plan. The objective of this study was to establish an effective artificial intelligence (AI)-based module for an accurate tooth prognosis decision based on the Harvard School of Dental Medicine (HSDM) comprehensive treatment planning curriculum (CTPC). The tooth prognosis of 2359 teeth from 94 cases was evaluated with 1 to 5 levels (1-Hopeless, 5-Good condition for long term) by two groups (Model-A with 16, and Model-B with 13 examiners) based on 17 clinical determining factors selected from the HSDM-CTPC. Three AI machine-learning methods including gradient boosting classifier, decision tree classifier, and random forest classifier were used to create an algorithm. These three methods were evaluated against the gold standard data determined by consensus of three experienced prosthodontists, and their accuracy was analyzed. The decision tree classifier indicated the highest accuracy at 0.8413 (Model-A) and 0.7523 (Model-B). Accuracy with the gradient boosting classifier and the random forest classifier was 0.6896, 0.6687, and 0.8413, 0.7523, respectively. Overall, the decision tree classifier had the best accuracy among the three methods. The study contributes to the implementation of AI in the decision-making process of tooth prognosis in consideration of the treatment plan.
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Registered trials
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