ReviewJournal of pharmacy & bioallied sciences2024
Artificial Intelligence in Periodontics: A Comprehensive Review.
Review in Journal of pharmacy & bioallied sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed.
- High-frequency intraoral ultrasonography for periodontal tissue characterization: a pilot study exploring echogenic signatures and inflammation detection.BMC oral health · 2025Trial
- The Expanding Role of Artificial Intelligence in Dentistry: A Cross-Specialty Chairside Perspective.Cureus · 2025Review
- Sustainable Dental and Periodontal Practice: A Narrative Review on the 4R-Framework-Reduce, Reuse, Rethink, Recycle-And Waste Management Rationalization.Dentistry journal · 2025Review
- Ultrasound Imaging: Advancing the Diagnosis of Periodontal Disease.Dentistry journal · 2025Article
- Impact of Optical Coherence Tomography (OCT) for Periodontitis Diagnostics: Current Overview and Advances.Dentistry journal · 2025Review
- Recent advancements in artificial intelligence-powered cancer prediction from oral microbiome.Periodontology 2000 · 2025Review
- Review
- Implications of artificial intelligence in periodontal treatment maintenance: a scoping review.Frontiers in oral health · 2025Review
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
Periodontal diseases are prevalent worldwide and pose a significant public health burden. With the advent of artificial intelligence (AI), there has been growing interest in leveraging AI technologies to improve diagnosis, treatment planning, and management of periodontal conditions. This review aims to provide a comprehensive overview of the applications of AI in periodontics, including its potential benefits, challenges, and future directions. Fifteen relevant studies were analyzed to explore the role of AI in periodontal disease detection, risk assessment, treatment planning, and patient management. The findings highlight the promising role of AI in enhancing the accuracy, efficiency, and personalized care delivery in periodontics.
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.