Background: The study aimed to assess dental anxiety (self and proxy reported) using a Modified Dental Anxiety Scale (MDAS) and modified short State-Trait Anxiety Inventory scale (Emoji). Methods: 200 children visiting the pediatric dental clinic at the College of Dentistry at Prince Sattam bin Abdulaziz University were recruited to assess their anxiety levels. The anxiety score was measured before and after the treatment using a short STAI scale and MDAS of 200 children using a Modified Dental Anxiety Scale (MDAS) and a modified short STAI (Emoji) Scale. Results: The perception of children with MDAS was found to have the highest mean score of 14.54 ± 3.82 before the dental procedure compared to the mean score of 9.40 ± 2.90 after the dental procedure. This difference was statistically significant (p < 0.001). A statistically significant difference was observed in MDAS after the dental procedure and, in short, STAI before the dental procedure. Conclusion: All children improved their dental anxiety levels before and after the procedure. Therefore, procedural experience may improve the child’s response.

The study aimed to assess dental anxiety (self and proxy reported) using a modified dental Anxiety Scale(MDAS) and modified short state-trait anxiety inventory scale(Emoji). Methods: 200 children visiting the pediatric dental clinic at the College of Dentistry at Prince Sattam bin Abdulaziz University were recruited to assess their levels of anxiety. The anxiety score was measured before and after the treatment using a short STAI scale and MDAS of 200 children using a Modified Dental Anxiety Scale (MDAS) and a modified short STAI (Emoji) Scale. Results: The perception of children MDAS was found to have a highest mean score of 14.54±3.82 after the dental procedure than compared to the mean score of 9.40 ±2.90 before the dental procedure this difference was statistically significant (p<0.001). There was a statistically significant difference observed in MDAS after the dental procedure and in short STAI before the dental procedure. Conclusion: All children exhibited improvement in their levels of dental anxiety before and after the procedure. Therefore, procedural experience may improve the child's response.

Background and Objectives: Nickel–titanium (Niti) instruments have enhanced root canal cleaning in primary teeth, but file fractures are still common. Materials and Methods: This study evaluated the cyclic fatigue resistance of 120 Niti files from four different systems, A: Kedo SG (n = 30); B: Neoendo Pedoflex (n = 30); C: Pedoflex Waldent files (n = 30); and D: Vortex Blue files (n = 30). All the files had similar tip diameters (0.25 mm) and tapers (0.4%) and underwent heat treatment during manufacturing. Cyclic fatigue tests showed notable variations in cycles to fracture (NCF) across groups. All fracture surfaces of the files were assessed through scanning electron microscopy. Results: The mean values achieved in the experimental groups (A, B, C) were less than those in the control Group D (976.90 ± 1085.19). Files in Group A demonstrated the highest NCF (697.01 ± 420.09), while Pedoflex files in Group C showed the lowest values (203.88 ± 155.46). Statistical analysis using the Mann–Whitney test revealed significant differences between Group C and Groups A, B, and D and no differences among Groups A, B, and D. Conclusions: These findings suggest that Kedo SG and Neoendo Pedoflex files offer comparable cyclic fatigue resistance to Vortex Blue files. In contrast, Pedoflex Waldent files exhibit lower resistance to fracture.

Background: Clear post-extraction sessions are vital for good patient outcomes. Traditional methods, such as verbal and printed information, have historically been prevalent; however, digital health care methods for analysis and communication are increasingly being adopted. Still, evidence comparing preferences for digital versus traditional instruction, especially for routine post-extraction care, remains limited. Objectives: This study aimed to evaluate preferences between digital methods (QR code-based videos) and traditional methods (verbal and printed leaflets) for delivering post-extraction care instructions among dental patients and students. It also assesses perceptions of communication quality, confidence, and patient interaction associated with each method. Methods: A cross-sectional study involved 200 dental students and 200 patients undergoing routine tooth extractions. The sample size was determined based on a 5% margin of error at a 95% confidence level for proportion estimation. Participants experienced all three instructional delivery methods—verbal, printed leaflet, and QR code-based video—for post-extraction care and completed validated questionnaires. The study assessed preferences for each delivery method, communication quality, confidence in following or providing instructions, ease of access, perceived usefulness, and impact on patient-provider interaction. Data were analyzed using descriptive statistics, the Mann–Whitney U test for group comparisons, and Spearman correlation for relationships among ordinal data. Results: Among all participants, 67.5% chose QR codes as the preferred method for improving communication (p < 0.001). Among dental students, 49% favored QR codes as the best method for postoperative instructions, and 50.5% indicated that QR codes boosted their confidence in providing instructions to patients. Preference for QR codes ranged from 43.5% to 65.5% across different aspects evaluated. Notably, among patients aged 60 years or older, 65.5% considered QR codes the most convenient for the elderly. Mann–Whitney U tests showed statistically significant differences between students and patients for ease of access (p = 0.009, rank biserial r = −0.143), video length appropriateness (p = 0.003, rank biserial r = −0.160), and the unlikelihood of missing instructions (p < 0.001, rank biserial r = −0.446). Conclusions: QR code-based video instructions were widely preferred over traditional methods by both dental students and patients for post-extraction care delivery. These findings support the integration of digital communication tools into post-extraction care protocols as a complement to traditional instruction delivery methods, though longitudinal studies assessing actual clinical outcomes are needed.

Nickel-titanium (Niti) instruments have enhanced root canal cleaning in primary teeth, but file fractures are still common. This study evaluated the cyclic fatigue resistance of 120 Niti files from four different systems, A: Kedo SG (n=30); B: Neoendo Pedoflex (n=30); C: Pedoflex Waldent files (n=30) and D: Vortex Blue files (n=30). All the files had similar tip diameters (0.25 mm) and tapers (0.4%) and underwent heat treatment during manufacturing. Cyclic fatigue tests showed notable variations in cycles to fracture (NCF) across groups. All fracture surfaces of the files were assessed through scanning electron microscopy. The mean values achieved in the experimental groups (A, B, C) were less than those in the control group D (976.90 ± 1085.19). Files in Group A demonstrated the highest NCF (697.01 ± 420.09), while Pedoflex files in Group C showed the lowest values (203.88 ± 155.46). Statistical analysis using the Mann-Whitney test revealed significant differences between groups A, B, and D compared to Group C. Still, no differences among groups A, B, and D. These findings suggest that Kedo SG and Neoendo Pedoflex files offer comparable cyclic fatigue resistance to Vortex Blue files. In contrast, Pedoflex Waldent files exhibit lower resistance to fracture.

Language barriers hinder healthcare, particularly during case history-taking, a key part of diagnosis. While multilingual artificial intelligence (AI) chatbots offer solutions, there is fragmented evidence of their effectiveness and impact. This systematic review followed PRISMA 2020 guidelines, examining studies published between 2015 and 2025 on multilingual AI chatbots in healthcare across four databases (Google Scholar, Scopus, Web of Science, and PubMed), using a two-stage screening process. Data extraction focused on applications, supported languages, underlying technologies, target populations, and clinical outcomes. From 503 records, 49 studies, covering primary care, telemedicine, oncology, mental health, and other areas, met the criteria. Supported languages included English, Spanish, Arabic, Chinese, Hindi, and other underrepresented languages. In individual system evaluations using heterogeneous methodologies and evaluation settings, AI chatbots achieved a diagnostic accuracy ranging from 72–92%. Core technologies included large language models (LLMs), bidirectional encoder representations from transformers (BERT), a generative pre-trained transformer (GPT), retrieval-augmented generation (RAG), speech recognition, and distillation. The findings show that these improve clinical workflow (30–70% time savings) and patient engagement, reduce language barriers, and promote health equity. However, the overall evidence certainty was low to moderate, reflecting the predominance of prototype and proof-of-concept studies. Multilingual AI chatbots demonstrate a boost in healthcare efficiency, a reduction in language barriers, and the promotion of health equity, but exhibit challenges regarding validation, workflow integration, and evaluation standards, along with ethical issues such as privacy and bias. Future research should include real-world studies, diverse populations, standardized outcome measures, and long-term equity assessments.