ReviewJournal of pharmacy & bioallied sciences2025
Artificial Intelligence (AI) in Endodontics: A Review.
Review in Journal of pharmacy & bioallied sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Clinical Readiness of Artificial Intelligence Models for MB2 Canal Detection in Maxillary Molars: A Scoping Review.International dental journal · 2026Article
- Comparative benchmark assessment of performance of six different large language models in clinical decision-making for vital pulp therapy.Journal of conservative dentistry and endodontics · 2026Article
- Artificial intelligence in endodontics: A comprehensive review of applications and advancement.Bioinformation · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Artificial intelligence (AI) holds the promise of mimicking human intelligence to enhance prediction and complex decision-making in healthcare, carving out a significant role in dentistry tasks, notably endodontics. It has shown remarkable accuracy in detecting and predicting diseases within this field, potentially refining diagnostics and treatments to boost endodontic success rates. However, there's a need to validate the reliability, practicality, and cost-effectiveness of AI before fully integrating it into everyday clinical settings. This review aims to explore AI's current applications in endodontics and possible future developments.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.