SynthesisSensors (Basel, Switzerland)2023
Performance of Oral Cavity Sensors: A Systematic Review.
Synthesis in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed.
- Saliva-permeable and antimicrobial potentiometric pH sensor for oral health monitoring.iScience · 2026Article
- Advanced Diagnostic Technologies and Molecular Biomarkers in Periodontitis: Systemic Health Implications and Translational Perspectives.Journal of clinical medicine · 2026Review
- Biosensors in dental, oral and craniofacial applications.Npj biosensing · 2026Review
- Examination of the Communication Environment When Applying Removable Dentures as Wearable Devices.Cureus · 2025Article
- Computational and experimental study of thermal behavior in the oral cavity for biosensing applications.Results in engineering · 2025Article
- Convenient Biochemical Testing Technologies for Oral Disease Risk Warning: Opportunities and Challenges.Biosensors · 2025Review
- Recent Advancements and Applications of Nanosensors in Oral Health: Revolutionizing Diagnosis and Treatment.European journal of dentistry · 2025Article
- Edible Bite Force Sensor: A Novel Approach to Measuring Bite Force in Biomedical and Dental Applications.Medical science monitor : international medical journal of experimental and clinical research · 2024Article
- Evaluating the Potential of an Oral-Based Bioguard to Estimate Heart Rate Using Photoplethysmography.Biosensors · 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
3 authors.
Funding
Abstract
Technological advancements are enabling new applications within biomedical engineering. As a connection point between the outer environment and the human system, the oral cavity offers unique opportunities for sensing technologies. This paper systematically reviews the performance of measurement systems tested in the human oral cavity. Performance was defined by metrics related to accuracy and agreement estimation. A comprehensive search identifying human studies that reported on the accuracy or agreement of intraoral sensors found 85 research papers. Most of the literature (62%) was in dentistry, followed by neurology (21%), and physical medicine and rehabilitation (12%). The remaining papers were on internal medicine, obstetrics, and aerospace medicine. Most of the studies applied force or pressure sensors (32%), while optical and image sensors were applied most widely across fields. The main challenges for future adoption include the lack of large human trials, the maturity of emerging technologies (e.g., biochemical sensors), and the absence of standardization of evaluation in specific fields. New research should aim to employ robust performance metrics to evaluate their systems and incorporate real-world evidence as part of the evaluation process. Oral cavity sensors offer the potential for applications in healthcare and wellbeing, but for many technologies, more research is needed.
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.