Aim: To evaluate the alkaline phosphatase level in gingival crevicular fluid (GCF) at three time points using clear aligners and fixed orthodontic appliances.
Materials And Methods: A prospective randomized controlled trial was conducted in a tertiary care hospital to treat patients with 4-6 mm crowding in their upper front teeth. The study involved 20 patients, with 10 assigned to each group. Eligible patients had fully erupted permanent teeth, moderate crowding, and excellent dental health. The study lasted for 14 days and involved thermoplastic trays, Gemini metal brackets, and micropipettes.
Results: This clinical study analyzed 20 participants, comprising 11 females and 9 males, with an average age of 25.23 ± 3.56 years. The data showed no significant differences in alkaline phosphatase (ALP) levels between the fixed orthodontic appliance and clear aligner groups. However, there was a notable increase in ALP levels in the crevicular fluid across both groups. The clear aligner group had significantly higher ALP levels at time points T1 and T2.
Conclusion: Clear aligners may facilitate faster tooth movement due to elevated crevicular ALP levels, although robust scientific evidence is limited. The light force exerted by clear aligners may not significantly impact the overall rate of tooth movement.
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http://dx.doi.org/10.4103/jpbs.jpbs_874_24 | DOI Listing |
Sci Rep
March 2025
Jiangxi Province Key Laboratory of Precision Drive and Equipment, Nanchang Institute of Technology, Nanchang, 330099, China.
Artificial intelligence (AI) has promoted application and development of self-driving cars. However, when self-driving cars encounter ethical dilemma, it is still hard to make a satisficing and clear decision-making by these present moral rules and mechanisms, which makes people distrust in self-driving cars in real life. It is necessary to design a computational and multi-factor decision-making model for self-driving cars.
View Article and Find Full Text PDFJ Clin Orthod
December 2024
Postgraduate School of Orthodontics, University of Ferrara, Ferrara, Italy.
Background: Organizations have a responsibility to reduce cognitive demands and strengthen health literacy support for patients and clients to improve understanding, access, and use of services. Most studies of organizational health literacy (OHL) are focused on traditional clinical settings and do not provide clear direction on how to make change. It is recognized that many people seek their everyday health information from trusted community-based organizations.
View Article and Find Full Text PDFBr J Nurs
March 2025
Senior Lecturer, School of Nursing and Advanced Practice, Liverpool John Moores University, Liverpool.
Artificial intelligence (AI) is transforming healthcare by enhancing clinical decision-making, particularly in nursing, where it supports tasks such as diagnostics, risk assessments, and care planning. However, the integration of non-explainable AI (NXAI) - which operates without fully transparent, interpretable mechanisms - presents ethical challenges related to accountability, autonomy, and trust. While explainable AI (XAI) aligns well with nursing's bioethical principles by fostering transparency and patient trust, NXAI's complexity offers distinct advantages in predictive accuracy and efficiency.
View Article and Find Full Text PDFDent Med Probl
March 2025
Department of Mental and Physical Health and Preventive Medicine, University of Campania "Luigi Vanvitelli", Naples, Italy.
Background: A bibliometric analysis uses statistical and mathematical methods to analyze the published literature, extracting meaningful information that helps to identify trends, assess research impact, and visualize key data patterns through graphs and trendlines.
Objectives: The aim of the study was to list the top 50 papers on clear aligners, evaluate them critically and apply a bibliometric analysis to investigate the achievements and prospects in this field of study.
Material And Methods: A computerized database search (Scopus) was conducted on September 24, 2023, to find articles on clear aligners published in the scientific literature between 2013 and 2023.
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