ArticleBiomaterial investigations in dentistry2022
A simple AI-enabled method for quantifying bacterial adhesion on dental materials.
Article in Biomaterial investigations in dentistry, 2022. 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, 9 citations in OpenAlex.
- A Lytic Bacteriophage Cocktail Attenuates Carbapenem-Resistant Klebsiella pneumoniae-Acinetobacter baumannii Mixed-Species Biofilms and Reshapes Transcriptional Responses.Microbial biotechnology · 2026Article
- Interrogation of imaging-based interspecies dynamics in the oral microbiome.Journal of oral microbiology · 2026Review
- SEMTWIST Quantification of Biofilm Infection in Human Chronic Wound Using Scanning Electron Microscopy and Machine Learning.Advances in wound care · 2025Article
- Biofilm Production in Intensive Care Units: Challenges and Implications.Pathogens (Basel, Switzerland) · 2024Review
- Artificial Intelligence-Driven Analysis of Antimicrobial-Resistant and Biofilm-Forming Pathogens on Biotic and Abiotic Surfaces.Antibiotics (Basel, Switzerland) · 2024Review
- Biofilm architecture and dynamics of the oral ecosystem.Biotechnologia · 2024Review
- Characterization and morphological methods for oral biofilm visualization: where are we nowadays?AIMS microbiology · 2024Review
- Machine Learning Analysis of Microtensile Bond Strength of Dental Adhesives.Journal of dental research · 2023Article
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 at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
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.