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Artificial Intelligence (AI) is increasingly transforming nursing administration by enhancing operational efficiency and supporting data-driven decision-making. This study explores registered nurses perceptions of AI in Saudi Arabia, focusing on both challenges and opportunities. A cross-sectional survey of 202 nurses revealed that 93.6% believe AI improves understanding, and 88.1% feel it enhances the quality of learning. Significant correlations were found between years of experience and AI usage (r =  0.342, p <  0.001) and between sources of information and AI perception (r =  0.146, p =  0.039). While 80.7% expressed concern that AI could reduce critical thinking, 76.8% feared job displacement. These findings underscore the need for training, ethical guidelines, and support systems to foster effective AI integration, enhancing nursing practice while addressing concerns around professional roles.

The teeth are the most challenging material to work with in the human body. Existing methods for detecting teeth problems are characterised by low efficiency, the complexity of the experiential operation, and a higher level of user intervention. Older oral disease detection approaches were manual, time-consuming, and required a dentist to examine and evaluate the disease. To address these concerns, we propose a novel approach for detecting and classifying the four most common teeth problems: cavities, root canals, dental crowns, and broken-down root canals, based on the deep learning model. In this study, we apply the YOLOv3 deep learning model to develop an automated tool capable of diagnosing and classifying dental abnormalities, such as dental panoramic X-ray images (OPG). Due to the lack of dental disease datasets, we created the Dental X-rays dataset to detect and classify these diseases. The size of datasets used after augmentation was 1200 images. The dataset comprises dental panoramic images with dental disorders such as cavities, root canals, BDR, dental crowns, and so on. The dataset was divided into 70% training and 30% testing images. The trained model YOLOv3 was evaluated on test images after training. The experiments demonstrated that the proposed model achieved 99.33% accuracy and performed better than the existing state-of-the-art models in terms of accuracy and universality if we used our datasets on other models.

Artificial intelligence (AI) is a branch of science concerned with developing programs and computers that can gather data, reason about it, and then translate it into intelligent actions. AI is a broad area that includes reasoning, typical linguistic dispensation, machine learning, and planning. In the area of medicine and dentistry, machine learning is currently the most widely used AI application. This narrative review is aimed at giving an outline of cephalometric analysis in orthodontics using AI. Latest algorithms are developing rapidly, and computational resources are increasing, resulting in increased efficiency, accuracy, and reliability. Current techniques for completely automatic identification of cephalometric landmarks have considerably improved efficiency and growth prospects for their regular use. The primary considerations for effective orthodontic treatment are an accurate diagnosis, exceptional treatment planning, and good prognosis estimation. The main objective of the AI technique is to make dentists’ work more precise and accurate. AI is increasingly being used in the area of orthodontic treatment. It has been evidenced to be a time-saving and reliable tool in many ways. AI is a promising tool for facilitating cephalometric tracing in routine clinical practice and analyzing large databases for research purposes.

Breast cancer (BC) is one of the most common cancers in women and is a major cause of female cancer-related deaths. BC is a multifactorial disease caused by the dysregulation of many genes, raising the need to find novel drugs that function by targeting several signaling pathways. The antitumoral drug thymoquinone (TQ), found in black seed oil, has multitargeting properties against several signaling pathways. This study evaluated the inhibitory effects of TQ on the MCF7 and T47D human breast cancer cell lines and its antitumor activity against BC induced by a single oral dose (65 mg/kg) of 7,12-dimethylbenzanthracene (DMBA) in female rats. The therapeutic activity was evaluated in DMBA-treated rats who received oral TQ (50 mg/kg) three times weekly. TQ-treated MCF7 and T47D cells showed concentration-dependent inhibition of cell proliferation and induction of apoptosis. TQ also decreased the expression of DNA methyltransferase 1 (DNMT1) in both cancer cell types. In DMBA-treated animals, TQ inhibited the number of liver and kidney metastases. These effects were associated with a reduction in DNMT1 mRNA expression. These results indicate that TQ has protective effects against breast carcinogens through epigenetic mechanisms involving DNMT1 inhibition.

Sciatica represents a significant neurological disorder affecting global health systems. This study assessed the prevalence, risk factors, awareness of symptoms and treatment approaches for sciatica in the Jazan Region of Saudi Arabia. A cross-sectional study was conducted among 927 adults in the Jazan Region using a validated questionnaire distributed through digital platforms. The questionnaire assessed demographics, medical history, risk factors, and knowledge of sciatica symptoms and treatment. Data analysis employed descriptive statistics and chi-square tests using R software. The study revealed a sciatica prevalence of 9.9%, with significant associations observed with arthritis, obesity, and family history. Knowledge assessment showed that most participants demonstrated poor understanding of sciatica’s causes and treatments. Arthritis emerged as the strongest risk factor, with 33.3% prevalence among affected individuals. While 83% recognized the superiority of evidence-based treatments over traditional approaches, only 31.1% correctly identified herniated discs as a primary cause. Significant knowledge disparities were observed across demographic groups, with higher awareness among females, younger adults, and those with chronic conditions (all p  < 0.05). The findings highlight substantial knowledge gaps regarding sciatica in the Jazan Region, despite its considerable prevalence. The study underscores the need for targeted educational initiatives, particularly focusing on high-risk groups and preventive strategies. Integration of sciatica awareness programs into primary healthcare services, alongside workplace wellness initiatives, could significantly improve public health outcomes and reduce disease burden.

Green-synthesized nanoparticles show promise as anti-biofilm and antibacterial agents in medical applications, including dental implants and oral devices. However, conventional antibacterial testing methods are laborious and lack sensitivity. Quartz tuning fork (QTF)-based biosensors offer a compelling alternative due to their high sensitivity, compact size, and cost-effectiveness. This study evaluates a QTF biosensor for quantifying the antibacterial activity of green-synthesized ZnO nanoparticles against negative and positive Gram bacteria. The antibacterial activity of ZnO nanoparticles was tested in a simulated oral environment against   (gram-positive) and   (gram-negative) using a QTF biosensor. Changes in resonance frequency and quality factor were measured to assess bacterial growth inhibition. Experiments were conducted with varying ZnO concentrations (eg, 1 mm) to correlate sensor responses with antibacterial effects. The QTF biosensor detected significant antibacterial activity as resonance frequency decreased by 5.69 ± 3.81 hz ( ) and 30.57 ± 4.01 hz ( ) in 1 mm ZnO. Quality factor declined by 31.75 ± 7.55 for   but remained stable for  . Higher bacterial concentrations (lower ZnO doses) increased damping effects, reducing the quality factor.  exhibited greater sensitivity to ZnO nanoparticles than  . The QTF biosensor successfully quantified the antibacterial effects of green-synthesized ZnO nanoparticles, demonstrating its potential as a rapid, sensitive alternative to traditional methods. The differential responses of   and   suggest species-specific interactions with ZnO, warranting further study. This approach could streamline the development of biocompatible, antibacterial medical materials.

Many patients experience stress and dissatisfaction when they are admitted to acute settings, where they receive short-term and active care for severe injuries, illnesses, or surgeries. Patient satisfaction is a key indicator of healthcare quality that affects patient outcomes, service delivery, and safety. This review aimed at systematically mapping and summarizing the evidence on non-pharmacological interventions that targeted patient satisfaction in inpatient acute settings. Three electronic databases were searched, including PubMed, EBSCO, and ScienceDirect. The inclusion criteria were: (1) studies of non-pharmacological interventions to improve patients' satisfaction and targeting inpatients between the ages of 19 and 65 years old; (2) studies written in English and published in the last 10 years, starting from 2017. The search results were imported and screened for eligibility on Covidence. The data was then extracted, using a tool entered in Covidence's Extraction 2.0. The extraction tool included domains on both intervention impact and delivery processes. A total of 11 articles met the inclusion criteria. Randomized control trials represented the most among the group; seven studies were included given that the others were quasi-experimental studies. Those studies were conducted on the different types of services offered in acute care departments. These studies did not use a standardized questionnaire to evaluate their respective trial outcomes or to implement various adapted or adopted modules of intervention. Of note, the intervention was effective in enhancing patient satisfaction in only some of the studies. Different types of intervention modules have been effective in improving acute care patient satisfaction. However, further studies are needed to evaluate the effectiveness of an intervention among all patients in different acute care departments at the same time.

This review article has been necessitated by the limited number of studies on the role of heat shock proteins (HSPs) in cellular functions. The analysis is performed by reviewing evidence in various literary works concerning the topic. The main function of HSPs is to prevent the formation of non-functional proteins and facilitate protein folding. They also enhance the survival of cells in addition to being clinically significant. HSPs protect proteins from stress factors such as temperature, pH, and low levels of oxygen. Some of the common types of HSPs include HSP70, HSP90, HSP27, and HSP100. These proteins have different weights and other features which make them suit for different cellular functions. However, they have numerous similar features which make them perform almost the same functions, yet they vary in the degree of protection that they provide for the cells. The release of HSPs is controlled by four types of HSF depending on the type of stress that a cell is subjected to. HSF1 is responsible for identifying stress factors, especially heat. HSF2 performs almost similar functions as HSF1 in addition to cellular development. HSF3 is released when the stress conditions are extreme and, hence, cannot be effectively controlled by HSF1 and HSF2. HSF4 functions by inducing negative DNA transcriptions. Other tasks of HSPs include enhancing the immune system. The cells help in the management of Alzheimer's disease and other similar complications by forming protective tissues around brain cells. The cells also help in controlling cancer and heart diseases. However, their roles are more enhanced in managing cancer, extending to diagnosis and prediction. Further research on the HSPs and HSFs may extend their application to curing tumorous cells.This review article has been necessitated by the limited number of studies on the role of heat shock proteins (HSPs) in cellular functions. The analysis is performed by reviewing evidence in various literary works concerning the topic. The main function of HSPs is to prevent the formation of non-functional proteins and facilitate protein folding. They also enhance the survival of cells in addition to being clinically significant. HSPs protect proteins from stress factors such as temperature, pH, and low levels of oxygen. Some of the common types of HSPs include HSP70, HSP90, HSP27, and HSP100. These proteins have different weights and other features which make them suit for different cellular functions. However, they have numerous similar features which make them perform almost the same functions, yet they vary in the degree of protection that they provide for the cells. The release of HSPs is controlled by four types of HSF depending on the type of stress that a cell is subjected to. HSF1 is responsible for identifying stress factors, especially heat. HSF2 performs almost similar functions as HSF1 in addition to cellular development. HSF3 is released when the stress conditions are extreme and, hence, cannot be effectively controlled by HSF1 and HSF2. HSF4 functions by inducing negative DNA transcriptions. Other tasks of HSPs include enhancing the immune system. The cells help in the management of Alzheimer's disease and other similar complications by forming protective tissues around brain cells. The cells also help in controlling cancer and heart diseases. However, their roles are more enhanced in managing cancer, extending to diagnosis and prediction. Further research on the HSPs and HSFs may extend their application to curing tumorous cells.

To estimate the prevalence and determinants of latent tuberculosis (LTBI) among inmates of four correctional facilities in Saudi Arabia. This is a retrospective review of health records. All inmates of four correctional facilities in Saudi Arabia were screened for tuberculosis in 2022. Their LTBI status was defined as more than 10mm Mantoux test result and negative X-ray chest result. The prevalence of LTBI and their determinants like age, gender, country of origin, location of the prison, and human immunodeficiency viruses (HIV) status were studied. We reviewed screening data of 10,042 inmates in four Saudi prisons. The prevalence of LTBI was 7.4%. The risk difference of LTBI was significantly higher in males compared to female inmates (P < 0.001). The highest prevalence of LTBI was noticed among males (7.7%), those older than 60 years old (26.9%), and African expatriates (12.1%). None of the female inmates or those with HIV had LTBI. The binomial regression analysis revealed a highly significant effect of older age on the risk of having LTBI. The prevalence of LTBI was low among inmates at Saudi correctional facilities. The males, old age, and persons from African and Asian countries had a higher risk of LTBI. The prevalence of LTBI among inmates of Saudi prisons could be predicted by knowing their age group.

Background: The relevance of growth determination in orthodontics is driving the search for the most precise and least invasive way of tracking the pubertal growth spurt. Objectives: The aim was to explore whether minimally invasive salivary estimation of biomarkers Insulin-like growth factor (IGF-1) and Insulin-like growth factor binding protein-3 (IGFBP-3) could be used to estimate skeletal maturity with diagnostic accuracy, especially in children and adolescent age groups. Subjects and methods: The cross-sectional study was conducted on 105 participants aged 6–25 years from the out-patient Department of Preventive Dental Science at Majmaah University between the period 2 January 2021 and 12 July 2021. Each subject’s lateral cephalogram radiograph was categorized based on skeletal maturity, and saliva samples were estimated for IGF-1 and IGFBP-3 using the respective ELISA kits. Two-way ANOVA with interaction was applied to examine the main effects due to cervical vertebral maturation staging (CVS), Sex and interaction effect due to CVS, and Sex on study parameters. Karl Pearson’s Product Moment Correlation Coefficient was calculated for finding a significant association between IGF, IGFBP3, and the IGF-1/IGFBP3 molar ratio. Results: Highest mean salivary IGF-1 was observed in the pubertal peak stage, which coincides with cervical vertebral maturity stages 3 and 4 (CVS3 and CVS4) for both males (2.57 ng/mL) and females (1.57 ng/mL) and the lowest mean level of IGF-1 for females (0.85 ng/mL) and males (1.22 ng/mL) was observed during the prepubertal stage. There exists a significant variation in IGF-1 between males and females in the pubertal stage (p < 0.01), but the difference is very narrow in the prepubertal and post-pubertal groups (p > 0.05). There was no significant interaction effect of different skeletal stages and gender on the IGFBP3 and the IGF-1/IGFBP3 molar ratio (p > 0.05), but there exists a significant interaction effect on IGF-1 (p < 0.05). Conclusion: Estimation of the IGF-1 and the IGF-1/IGFBP3 molar ratio in saliva, being a non-invasive biological marker, could serve as an adjunctive tool along with radiographic assessment in estimating growth maturity in the adolescence age group. By initiating orthodontic treatment during the mandibular growth peak in adolescence, a positive outcome is ensured in managing skeletal deformities within the craniofacial complex.