Objective: The aim of this study is to investigate the public's attitudes and knowledge toward chairside dental screening and laboratory investigations based on demographic data.
Methods: A self-administered structured questionnaire regarding chairside screening was designed employing a 5-point Likert-type scale. The questionnaire was distributed to among sample of adults. Data were collected and statistically analyzed using descriptive statistics, -tests, ANOVA, and values.
Results: A total of 573 questionnaires were completed. Most respondents were willing to have a dentist conduct screening for diseases, in particular blood measurement (89%), hypertension (85.7%) and lab result discussion (83.1%), having medical condition did not affect the willingness. The lowest reported willingness was to undergo biopsy (54%) and hepatitis screening (67.6%) Age, education, hospital, and prior chairside screening were found to be significant factors for willingness.
Conclusion: The population's willingness to undergo chairside medical screenings in the dental office is crucial for the implementation of this strategy and to deliver a holistic approach to treating patients' medical conditions.
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http://dx.doi.org/10.2147/PPA.S297882 | DOI Listing |
J Indian Prosthodont Soc
January 2025
Department of Prosthodontics, Sri Ramachandra Dental College and Hospital, Sri Ramachandra Institute of Higher Education and Research, Chennai, Tamil Nadu, India.
Prosthetic rehabilitation in multifaceted dental abnormality needs sequential planning to ensure adaptation of oral and associated musculature. Reduction of tooth structure before adaptation of oral and associated components may complicate the treatment modality if compliance of the musculature is poor. Hence, the fabrication of over-provisional in esthetic rehabilitation enables to assess of the success of the treatment plan preoperatively before invasive trials.
View Article and Find Full Text PDFBiotechnol Lett
December 2024
Key Laboratory of Environmental Chemistry and Ecotoxicology of Organic Pollutants of Chongqing, Ecological and Environment Monitoring Center of Chongqing, 252 Qishan Road, Chongqing, 401132, China.
Rapid diagnostic tools for Porphyromonas gingivalis (Pg), the primary microorganism responsible for the development of periodontitis, particularly those designed for chair-side applications, could provide substantial health benefits to patients. To address this issue, we developed a CRISPR/Cas12a-based rapid Pg detection method. Dual-gRNA and hairpin reporter strategies were employed to enhance CRISPR/Cas12a reaction efficiency.
View Article and Find Full Text PDFJ Dent
December 2024
Department of Restorative Dental Sciences, Faculty of Dentistry, The University of Hong Kong, Hong Kong SAR, PR China. Electronic address:
Objectives: Periapical lesions are not always evident on radiographic scans. Sometimes, asymptomatic or initial periapical lesions on cone-beam computed tomography (CBCT) could be missed by inexperienced dentists, especially when the scan has a large field of view and is not for endodontic treatment purposes. Previously, numerous algorithms have been introduced to assist radiographic assessment and diagnosis in the field of endodontics.
View Article and Find Full Text PDFDent Mater J
December 2024
Department of Adhesive Dentistry, School of Life Dentistry at Tokyo, The Nippon Dental University.
Enamel microcracks are often apparent in the teeth of elderly individuals. However, accurate clinical diagnosis of enamel microcracks is very difficult. The purpose of this study was to examine the utility of inspections for enamel microcracks using a near-infrared light transillumination device with fluorescence staining.
View Article and Find Full Text PDFClin Exp Dent Res
December 2024
Adelaide Dental School, The University of Adelaide, South Australia, Australia.
Objectives: Advancements in artificial intelligence (AI)-driven predictive modeling in dentistry are outpacing the clinical translation of research findings. Predictive modeling uses statistical methods to anticipate norms related to TMJ dynamics, complementing imaging modalities like cone beam computed tomography (CBCT) and magnetic resonance imaging (MRI). Deep learning, a subset of AI, helps quantify and analyze complex hierarchical relationships in occlusion and TMJ function.
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