Needle-stick or sharp injuries (NSIs) are critical occupational hazards for healthcare workers. Exposure to blood and body fluids through NSIs increases the risk of transmission of blood-borne pathogens among them. The objectives of this study were to estimate the annual incidence of NSIs and investigate the associated factors of NSIs among the healthcare workers in Saudi Arabia. A cross-sectional online survey was conducted between October and November 2021. A total of 361 healthcare workers participated in the survey from all over Saudi Arabia. The one-year incidence of at least one event of NSIs among the healthcare workers is estimated at 22.2% (95% CI: 18.0, 26.8). More than half of the injury events (53.8%) were not reported to the authority by the healthcare workers. Incidence of NSIs was highest among the physicians (36%) and was followed by nurses (34.8%), dentists (29.2%), and medical technologists (21.1%). The odds of NSIs was higher among the healthcare workers aged 26–30 years compared to the 20–25 years age group (OR: 2.51; 95% CI: 1.04, 6.03), as well as among the workers who directly dealt with needles or other sharp objects while working compared to those who did not (OR: 5.9; 95% CI: 2.69, 12.97). The high incidence and low rate of reporting of NSIs highlights the need of education and awareness raising programs targeting healthcare providers with higher risk of injury.

To measure the effectiveness of procedural video compared to live demonstration in transferring skills for fabricating orthodontic Adam’s Clasp. Forty-nine fourth-year undergraduate male dental students were randomly assigned to two groups. The students in group A (n = 26) attended a live demonstration performed by one faculty, while students in group B (n = 23) watched a procedural video. Both the procedural video and live demonstration described identical steps involved in fabricating the Adam’s Clasp. Students in both groups were asked to fabricate an Adam’s Clasp in addition to completing a questionnaire, to measure their perceptions and satisfaction with the two teaching methods and lab exercise. Blind assessment was performed by one faculty for both groups. The mean students’ scores in the fabrication of the Adam’s clasp were 6.69 and 6.78 for the live demonstration (group A) and the procedural video (group B), respectively. No significant difference was detected between the two groups (P = 0.864). Statistically significant difference was found in the mean response between the two groups for statement 6 on the questionnaire, “The steps in the teaching method were presented in a clear fashion and were easy to understand”. A higher mean response for group B was found compared to group A (P = 0.049). No significant differences were found between the two groups for the other statements (P > 0.05). Procedural video is equally as effective as a live demonstration. Both methods should be considered in teaching undergraduate orthodontic courses in order to improve the learning experience and to match different learning preferences of students.

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Cleft lip and palate (CLP) is the most common craniofacial malformation, with a range of physical, psychological, and aesthetic consequences. In this comprehensive review, our main objective is to thoroughly examine the relationship between CLP anomalies and the use of artificial intelligence (AI) in children. Additionally, we aim to explore how the integration of AI technology can bring about significant advancements in the fields of diagnosis, treatment methods, and predictive outcomes. By analyzing the existing evidence, we will highlight state-of-the-art algorithms and predictive AI models that play a crucial role in achieving precise diagnosis, susceptibility assessment, and treatment planning for children with CLP anomalies. Our focus will specifically be on the efficacy of alveolar bone graft and orthodontic interventions. The findings of this review showed that deep learning (DL) models revolutionize the diagnostic process, predict susceptibility to CLP, and enhance alveolar bone grafts and orthodontic treatment. DL models surpass human capabilities in terms of precision, and AI algorithms applied to large datasets can uncover the intricate genetic and environmental factors contributing to CLP. Additionally, Machine learning aids in preoperative planning for alveolar bone grafts and provides personalized treatment plans in orthodontic treatment. In conclusion, these advancements inspire optimism for a future where AI seamlessly integrates with CLP management, augmenting its analytical capabilities.

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Background: Occlusal cant (OC) is a malocclusion trait lacking indexing or classification that describes the extent and severity of tilt in the occlusal plane. The aims of this study were to develop an occlusal cant index (OCI) based on the degree of OC detection among orthodontists and laypeople and to validate the newly developed OCI by a panel of experts using content validity. Methods: The ability to perceive OC was assessed in 134 participants (orthodontists = 67 and laypeople = 67). A frontal photograph of a model with an ideal smile with 0° of OC was obtained and manipulated to create various degrees of OC from 1–5° at the right and left sides. A set of 11 electronic photographs was displayed to the participants. The participants were asked to report whether they detected an OC in each photograph. The collected data was used as a baseline to develop an OCI. Then, a content validation of the OCI was performed using a questionnaire provided to a panel of experts comprising ten orthodontists. Results: The OCI was designed based on the threshold of OC detection. In both orthodontists and laypeople, the accuracy of OC detection increased as the amount of tilt increased. The threshold point of OC detection in orthodontists was at 2°, while in laypeople it was at 4°. There was a significant difference between orthodontists and laypeople in their ability to detect OC at 2–3° of tilt. The content validity index (CVI) showed excellent validity between the item-level CVI and the scale-level CVI of the OCI. Conclusion: The OCI was developed and implemented for diagnostic, communication, and research purposes. The index showed strong evidence supporting content validity.