Tag: nevin manimala

BMC Med Educ. 2026 Jul 15. doi: 10.1186/s12909-026-09901-5. Online ahead of print.

ABSTRACT

BACKGROUND: Digital technologies – including computer-aided design and manufacturing systems, three-dimensional printing, digital radiography, intraoral scanners, and artificial intelligence – are increasingly central to clinical dentistry, yet their integration into undergraduate curricula remains uneven. Clinical-year students, approaching graduation and patient-facing practice, are a critical group in whom to assess this transition, but evidence on how they perceive these technologies and relate them to curriculum expectations is limited. This study evaluated the awareness, attitudes, and curriculum expectations of clinical-year dental students regarding digital dentistry.

METHODS: A descriptive cross-sectional survey was conducted among fourth- and fifth-year students at a single dental faculty using a census-based approach. An 11-item online questionnaire assessed familiarity with five digital technologies, attitudes, and future professional perspectives, with an attention-check item and electronic informed consent. The questionnaire underwent multi-step validation, including expert-panel content validity, exploratory factor analysis, and internal-consistency reliability. Group comparisons by sex and year of study were examined with chi-square tests and Cramér’s V, applying the Benjamini-Hochberg procedure to control the false discovery rate.

RESULTS: Of 187 included students (85.0% response rate), the questionnaire showed strong content validity (scale-level content validity index = 0.94) and acceptable reliability (Cronbach’s alpha = 0.83 for familiarity and 0.92 for the positive-attitude scale). Familiarity was highest for digital radiography and lowest for artificial intelligence. Attitudes were strongly positive: most students reported high interest in digital dentistry and a clear desire for greater curricular coverage, and 74.3% considered digital dentistry teaching at their faculty insufficient. Apparent differences by sex and year of study did not remain statistically significant after correction for multiple comparisons.

CONCLUSIONS: Clinical-year dental students held favourable attitudes toward digital dentistry and expressed strong demand for expanded training, yet their self-reported familiarity remained modest and was lowest for artificial intelligence. This gap between motivation and perceived provision highlights a concrete target for curriculum development, suggesting that undergraduate dental education should strengthen structured, hands-on exposure to digital technologies – particularly artificial intelligence – to better prepare graduates for contemporary clinical practice.

PMID:42458426 | DOI:10.1186/s12909-026-09901-5

BMC Med Educ. 2026 Jul 15. doi: 10.1186/s12909-026-09927-9. Online ahead of print.

ABSTRACT

BACKGROUND: The aim of this study is to evaluate the role of social media in the career choices of first-year dental students in Turkey and to examine the relationship between this effect and demographic characteristics and social media usage habits.

METHODS: This descriptive cross-sectional study included first-year dental students enrolled in different dental faculties in Turkey during the 2025-2026 academic year. Data were collected through a two-part online questionnaire developed in line with the literature, with internal consistency assessed as a preliminary step (α = 0.84); formal psychometric validation was not conducted. The questionnaire assessed demographic characteristics, social media usage habits, exposure to dentistry-related content, and factors influencing career choice. Descriptive statistics and Chi-square test were used to analyze the data, and the significance level was set at p < 0.05.

RESULTS: 64.9% of the study sample reported being influenced by social media content during the career decision-making process; this figure reflects the study sample only and should not be interpreted as a population prevalence estimate. No statistically significant associations were found between social media influence and gender, type of high school graduated from, or year of university admission (p > 0.05). Among students influenced by social media, 47.9% reported using social media for 3 h or more per day, and TikTok was the most frequently used platform (20.3%). Animations were the most attention-grabbing content type (22.9%), while social prestige (22.9%) was the most common expectation associated with social media. Across all participants, the most frequently reported reasons for choosing dentistry were guidance counselor recommendations (15.5%) and the prestige of the profession (14.2%).

CONCLUSIONS: The findings indicate that a considerable proportion of first-year dental students in the study sample reported being influenced by social media during their career decision-making, and this reported influence was not significantly associated with demographic variables. Idealized professional representations on social media, particularly those emphasizing prestige and lifestyle expectations, may shape students’ perceptions of the profession. These findings highlight the need for dental faculties to develop realistic and balanced digital content strategies, and for guidance services to incorporate media literacy training, so that prospective students can critically evaluate social media content during the career choice period.

PMID:42458420 | DOI:10.1186/s12909-026-09927-9

Int Dent J. 2026 Jul 15;76(5):109739. doi: 10.1016/j.identj.2026.109739. Online ahead of print.

ABSTRACT

INTRODUCTION AND AIMS: This study aimed to determine the extent and trajectory of enamel caries from adolescence through young adulthood and the associated factors.

METHODS: Data were from the first and third Fit Futures (FF) studies that followed a cohort of Norwegians from the first year of upper secondary school (FF1 2010-2011, age 17) for 10 years (FF3 2021-2022, age 27). Participants answered questionnaires and underwent clinical dental examinations. The study sample included participants with data on caries and restorations at both ages 17 and 27 (N = 584, 53% of the original FF1 cohort, 53% women). Data were analysed using descriptive statistics, and associations between risk factors and caries activity were examined using regression models.

RESULTS: Almost all participants had enamel caries lesions (median 12.0 and 9.0 lesions at ages 17 and 27, respectively), and 64% had lesions that had progressed into dentin during the observation period. At the tooth surface level, 10% of all surfaces had enamel caries at age 17, of which 18% had progressed to dentin caries by age 27. The highest progression rates were observed on proximal surfaces and for premolars of the upper jaw. In regression analyses, high caries activity was associated with female sex, low socioeconomic status, poorer self-reported general health, poor oral hygiene habits, and high soft drink intake.

CONCLUSION AND CLINICAL RELEVANCE: Enamel caries lesions were almost ubiquitous, but more than 80% did not progress over a 10-year period, lending strong support to nonoperative treatment of such lesions. Nevertheless, the study demonstrated relatively high caries activity during the transition from adolescence to adulthood and underlines the importance of dietary guidance and oral hygiene motivation to prevent caries. Having medium or low socioeconomic status and facing general health issues should also be considered important caries risk factors.

PMID:42456259 | DOI:10.1016/j.identj.2026.109739

Spectrochim Acta A Mol Biomol Spectrosc. 2026 Jul 11;363(Pt 1):128431. doi: 10.1016/j.saa.2026.128431. Online ahead of print.

ABSTRACT

Tip-Enhanced Raman Spectroscopy (TERS) provides nanoscale chemical sensitivity, but its routine use remains constrained by thermal drift, unstable optical coupling, heterogeneous hotspot formation, and inconsistent approaches to signal quantification. Here, we present a commissioning-oriented AFM-TERS workflow for planar Au thin films under the specific instrumental and substrate conditions used in this study. A 20 min thermal stabilization period reduced the lateral drift rate by approximately 3.6× (from 186 to 51 nm·min^-1), thereby improving platform stability; however, the residual drift remains significant for long spectral maps and requires cautious interpretation of pixel-level co-localization. Optical coupling was standardized through a camera-based scattering-footprint analysis used as an operational alignment proxy, not as a direct measurement of the TERS hotspot or as a quantitative predictor of absolute Raman enhancement. Near-field mapping of Rhodamine 6G, Methylene Blue, and Crystal Violet confirmed local molecular identification at selected nanoscale positions, while paired far-field controls were used to evaluate the near-field contribution. Under the present experimental conditions, ensemble SERS on planar Au was practically limited to ≈10^-6 mol·L^-1, whereas TERS allowed local identification of R6G at selected positions on samples prepared down to 10^-8 mol·L^-1 via isolated, hotspot-mediated observations rather than as evidence of a practical detection capability. These measurements should not be interpreted as a formal statistical detection-limit study. Concentration-dependent measurements revealed strong local variability, including regimes in which substrate-mediated far-field hotspots locally dominated the response (FF > NF). We therefore recommend reporting paired near-field/far-field (NF/FF) intensity ratios and the differential signal metric (ΔI) as directly measurable descriptors that complement, rather than replace, conventional enhancement-factor estimates when the assumptions required for molecule-normalized EF calculations are uncertain.

PMID:42456254 | DOI:10.1016/j.saa.2026.128431

Thromb Res. 2026 Jun 24;264:109759. doi: 10.1016/j.thromres.2026.109759. Online ahead of print.

ABSTRACT

BACKGROUND: Vitamin K antagonists (VKA) are the recommended treatment for thrombotic antiphospholipid syndrome (TAPS), but it remains uncertain whether direct oral anticoagulants (DOAC) could serve as an alternative to VKA in a subgroup of low-risk TAPS patients with venous thromboembolism (VTE).

OBJECTIVES: To compare the incidence of thrombosis recurrence between DOACs and VKAs in TAPS patients with VTE as index event.

METHODS: In this retrospective cohort study, we included adults with TAPS and index VTE treated with a DOAC or VKA between January 2013 and March 2023. Outcomes were recurrent thrombosis, defined as arterial thromboembolism (ATE) or VTE, and bleeding. Cox regression with time-varying covariates was applied, adjusted for age and sex and stratified by laboratory risk profile according to the 2023 ACR/EULAR criteria.

RESULTS: We included 277 patients (mean follow-up 3.9 ± 2.8 years); 87% single positive. Recurrent thrombosis occurred in 26 patients (9.4%). The risk of the combined ATE/VTE outcome was higher in the DOAC group than in the VKA group, but not statistically significant (aHR 1.90, 95% CI 0.81-4.49). When analyzed separately, DOAC use was associated with more arterial events (1.34 vs. 0.51 per 100 person-years; HR = 3.72 95% CI 1.04-13.29). Major bleeding occurred in 4.0% of patients, with similar rates between treatments (aHR 0.67, 95% CI 0.34-1.31).

CONCLUSION: In TAPS patients with index VTE, DOACs were associated with more arterial recurrences, with no significant difference in the combined ATE/VTE outcome. Interpretation is limited by few events and retrospective design.

PMID:42456240 | DOI:10.1016/j.thromres.2026.109759

Neurotherapeutics. 2026 Jul 15;23(4):e00967. doi: 10.1016/j.neurot.2026.e00967. Online ahead of print.

ABSTRACT

Thalamic neuromodulation has emerged as a promising therapy to reduce seizures in patients with drug-resistant epilepsy who are not candidates for resective or ablative surgical treatments. This advance creates therapeutic opportunities for patients with seizure foci that are generalized, poorly localized, multifocal, or in eloquent cortex. However, optimal treatment requires improved understanding of the thalamocortical circuits and cellular mechanisms that support seizure initiation, propagation, and termination. With its dense, nucleus-specific reciprocal connectivity with cortical and limbic regions and intrinsic oscillatory properties, the thalamus is well-constructed and well-positioned to influence epileptic activity. Importantly, distinct thalamic nuclei exhibit differing engagement depending on seizure type and propagation patterns. Here, we review current knowledge of thalamocortical anatomy and function, cellular mechanisms of ictal propagation, and the role of the thalamus in generalized and focal seizures, with emphasis on human studies. We further examine how these anatomical and mechanistic insights inform neuromodulatory interventions aimed at improving seizure control.

PMID:42456232 | DOI:10.1016/j.neurot.2026.e00967

J Forensic Leg Med. 2026 Jul 15;122:103215. doi: 10.1016/j.jflm.2026.103215. Online ahead of print.

ABSTRACT

OBJECTIVE: To assess whether transfer-learning models applied to panoramic radiographs (PANs) can classify individuals at the threshold of legal majority (≥18 years).

MATERIALS AND METHODS: Vision Transformer (ViT) and EfficientNetV2 models were trained on PANs from Bosnian and Lebanese individuals aged 14-24.99 years (n = 1764), considering pooled and sex-specific datasets with and without augmentation. Binary classification, multiclass classification, and regression models were trained and evaluated. Model performance on an internal test set derived from the same sample was summarized using accuracy, sensitivity, specificity, F1 score, and area under the receiver operating characteristic curve (ROC AUC). For regression and multiclass models, legal majority classification was additionally assessed by thresholding predicted ages or age categories at 18 years. External validation employed an independent Brazilian dataset (n = 1579; 14-24.99 years). Formal statistical comparison between internal and external performance employed two-proportion z-tests for accuracy and DeLong’s test for ROC AUC.

RESULTS: On the internal test set, the best-performing binary classification model, EfficientNetV2 with augmentation on the pooled dataset, achieved an accuracy of 0.90, sensitivity of 0.92, specificity of 0.86, F1 score of 0.91, and ROC AUC of 0.93. Using the same pooled, augmented configuration, thresholded regression predictions achieved accuracies of 0.85 for EfficientNetV2 and 0.83 for ViT, whereas thresholded multiclass predictions achieved accuracies of 0.84 and 0.73, respectively. Compared with direct binary classification, these thresholded outputs showed no clear advantage, and multiclass models generally showed higher specificity but lower sensitivity. This same pattern was retained when thresholded models were evaluated on the external validation set, with thresholded regression remaining comparatively stable and thresholded multiclass performance declining more markedly, especially for ViT. Visualization maps (gradient-weighted class activation mapping [Grad-CAM] and occlusion sensitivity) confirmed attention to relevant dental structures. On external validation, the same binary EfficientNetV2 configuration achieved an accuracy of 0.81, sensitivity of 0.90, specificity of 0.61, F1 score of 0.87, and ROC AUC of 0.85. Sex-specific models performed similarly, showing no clear advantage over pooled training. Statistical testing confirmed significant AUC degradation on external validation for both models (EfficientNetV2: p = 0.004; ViT: p < 0.001), while the accuracy drop was significant only for ViT (p = 0.035).

CONCLUSIONS: This study demonstrated that transfer learning with EfficientNetV2 and Vision Transformer can distinguish minors from adults using PANs with high internal performance and acceptable external generalization. Direct binary classification provided the most robust approach for legal age assessment in the present dataset. The findings support the forensic potential of these models, while also indicating the need for further work to improve robustness and real-world applicability.

PMID:42456231 | DOI:10.1016/j.jflm.2026.103215

Nurse Educ Today. 2026 Jul 9;166:107272. doi: 10.1016/j.nedt.2026.107272. Online ahead of print.

ABSTRACT

BACKGROUND: With the rapid integration of artificial intelligence (AI) into the nursing field, AI literacy has emerged as a critical competency for nursing students. However, evidence regarding the current status and influencing factors of AI literacy among Chinese nursing students remains limited.

AIM: This cross-sectional study aimed to examine AI literacy levels across four dimensions (Awareness, Application, Evaluation, Ethics) among Chinese nursing students, identify its independent influencing factors, and generate localized empirical evidence for AI curriculum construction in vocational nursing education.

METHODS: A cross-sectional study was conducted between November 1, 2025 and January 20, 2026. The research institution has not set up an institutional ethics committee; the whole protocol was ethically reviewed by the supervisor team in line with the Declaration of Helsinki before recruitment. A total of 178 sophomore nursing students from Henan Vocational University of Science and Technology were enrolled via convenience sampling. Data were collected using the Artificial Intelligence Literacy Scale (AILS, Wang et al., 2023). This scale is publicly accessible for non-commercial academic research; the original authors have granted open-use permission for educational cross-sectional surveys without additional formal written authorization. After data cleaning, 155 valid questionnaires were included (effective response rate = 86.9%). Nonparametric tests and ordinal logistic regression were performed via IBM SPSS 27.0 for statistical analysis.

RESULTS: Participants demonstrated a moderate level of overall artificial intelligence literacy (Median = 60.00, IQR = 21.00, SD = 13.18). The Application dimension scored highest. Gender and interest in AI were independent influencing factors. Strong positive correlations were identified among all four dimensions.

CONCLUSIONS: Study findings suggest that nursing education should integrate AI content and targeted training to strengthen students’ AI awareness, critical evaluation, and ethical awareness, while providing tailored support for female students and boosting AI interest.

PMID:42456212 | DOI:10.1016/j.nedt.2026.107272

J Biomech. 2026 Jul 3;205:113451. doi: 10.1016/j.jbiomech.2026.113451. Online ahead of print.

ABSTRACT

Biomechanical models of myocardial growth and remodelling (G&R) are often modelled as responses to deviations from a preferred biomechanical homeostatic state, triggered by stretch or stress. Yet how these critical values of stretch and stress should be defined remains unresolved. This study examines how different homeostatic threshold definitions influence predicted left ventricular G&R. Myocardial growth was implemented using an updated-reference constrained mixture framework, with eccentric growth driven by diastolic myofibre stretch and concentric growth driven by systolic active stress. Homeostatic thresholds were derived from the baseline LV dynamics. Our results demonstrate that the choice of critical homeostatic thresholds plays an important role in triggering cardiac G&R. For volume overload, the mean and 50th percentile end-diastolic myofibre stretch show the potential to approach a preferred mechanical state with preserved cardiac pump function. For pressure overload, a 90th percentile threshold of peak active stress appears to normalise systolic stress to baseline levels with sufficient cardiac output. Localised thresholds generally lead to more heterogeneous growth patterns and potentially high stretch/stress concentrations. These findings highlight the importance of defining homeostatic targets as tissue-level quantities and provide practical guidance to improve cardiac G&R modelling.

PMID:42456208 | DOI:10.1016/j.jbiomech.2026.113451

J Pediatr Nurs. 2026 Jul 15;90:541-546. doi: 10.1016/j.pedn.2026.07.016. Online ahead of print.

ABSTRACT

PURPOSE: To investigate the current status of family management among children after enterostomy surgery and identify its influencing factors, providing an evidence-based foundation for developing practical resources and policy recommendations to reduce family caregiving burdens and improve postoperative rehabilitation outcomes.

METHODS: This cross-sectional study included 155 pediatric enterostomy patients and their family caregivers from June 2025 to March 2026. Family management and family function were assessed using the Chinese versions of the Family Management Measure (FaMM) and the Family Assessment Device-General Functioning (FAD-GF). We analyzed the clinical data of patients and caregivers, identified factors influencing family management, and conducted statistical analyses on these factors.

RESULTS: The average FaMM score was 162.11 ± 11.34, indicating a moderate level. Univariate analysis showed that whether the child was an only child, child’s age, family’s place of residence, disease course, caregiver education level, employment status, and average family monthly income were all influencing factors (P < 0.05). Pearson correlation analysis indicated a positive correlation between family management and family function (r = 0.934, P < 0.001). Multiple linear regression analysis revealed that family function, disease course, caregiver employment status, and average family monthly income were the primary influencing factors of family management, explaining 77.6% of the total variance.

CONCLUSION: The level of family management among children with enterostomy needs improvement. Better family function, longer disease course, employed caregivers, and higher family income are associated with higher levels of family management. Clinically, it is essential to provide these families with professional information and policy support to enhance their family management capabilities.

PMID:42456196 | DOI:10.1016/j.pedn.2026.07.016