Objective: To compare the efficacy of dental plaque removal between manual and powered toothbrushes in individuals with syndactyly.
Material And Methods: Seventeen patients with Apert syndrome aged 11 to 30 years. The efficacy of toothbrushing was evaluated by the O'Leary plaque index at 2 periods: initial (before toothbrushing) and final (immediately after toothbrushing), using manual toothbrush (Colgate Twister) and powered toothbrush (Colgate Actibrush). Means were compared by the ANOVA test at a significance level of 5%.
Results: The reduction in the plaque index was different for each type of toothbrush (interaction factor between manual and powered toothbrushes and initial and final periods, P = 0.026). The powered toothbrush provided greater reduction of dental plaque than the manual toothbrush.
Conclusion: In individuals with syndactyly, both manual and powered toothbrushes allowed significant plaque reduction on tooth surfaces; however, the powered toothbrush exhibited greater efficacy of plaque removal compared with the manual toothbrush.
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http://dx.doi.org/10.1097/SCS.0000000000004774 | DOI Listing |
Anal Chem
January 2025
Institute for Advanced Optics, Hunan Institute of Science and Technology, Yueyang, Hunan 414006, China.
Diffraction imaging of cells allows rapid phenotyping by the response of intracellular molecules to coherent illumination. However, its ability to distinguish numerous types of human leukocytes remains to be investigated. Here, we show that accurate classification of three lymphocyte subtypes can be achieved with features extracted from cross-polarized diffraction image (p-DI) pairs.
View Article and Find Full Text PDFPrehosp Emerg Care
January 2025
Graduate School of Health and Welfare, Niigata University of Health and Welfare, 1398 Shimami-cho, Kita-ku, Niigata-shi, 950-3198, Niigata, Japan,
Objectives: To compare the effects of powered and manual stretchers on participants' perceived comfort and measured acceleration during lifting and loading operations.
Methods: This non-randomized, laboratory-based crossover study involved forty-one participants (thirty-one firefighters and ten third-year paramedic students) who served as simulated patients experiencing lifting, lowering, loading, and unloading maneuvers using manual and powered stretchers. Four stretcher types were evaluated: one powered stretcher (Power-PRO™ XT) and three manual stretchers (Matsunaga GT, Exchange 4070, Scad Mate), with each group using the manual stretcher they routinely operated.
Front Physiol
December 2024
Department of Nephrology, People's Hospital of Zhengzhou University, Zhengzhou, China.
The assessment of vascular accessibility in patients undergoing hemodialysis is predominantly reliant on manual inspection, a method that is associated with several limitations. In this study, we propose an alternative approach by recording the acoustic signals produced by the arteriovenous fistula (AVF) and employing deep learning techniques to analyze these sounds as an objective complement to traditional AVF evaluation methods. Auscultation sounds were collected from 800 patients, with each recording lasting between 24 and 30 s.
View Article and Find Full Text PDFSensors (Basel)
December 2024
School of Biological and Environmental Sciences, Liverpool John Moores University, James Parsons Building, Byrom Street, Liverpool L3 3AF, UK.
Camera traps offer enormous new opportunities in ecological studies, but current automated image analysis methods often lack the contextual richness needed to support impactful conservation outcomes. Integrating vision-language models into these workflows could address this gap by providing enhanced contextual understanding and enabling advanced queries across temporal and spatial dimensions. Here, we present an integrated approach that combines deep learning-based vision and language models to improve ecological reporting using data from camera traps.
View Article and Find Full Text PDFEur J Radiol
December 2024
Department of Radiology, VA Boston Healthcare System, Boston University School of Medicine, Boston, MA, USA.
Rationale And Objectives: Accurate assessment of hip morphology is crucial for the diagnosis and management of hip pathologies. Traditional manual measurements are prone to mistakes and inter- and intra-reader variability. Artificial intelligence (AI) could mitigate such issues by providing accurate and reproducible measurements.
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