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  • 1
    In: Legal Medicine, Elsevier BV, Vol. 48 ( 2021-02), p. 101826-
    Type of Medium: Online Resource
    ISSN: 1344-6223
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2021
    detail.hit.zdb_id: 2050453-6
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  • 2
    In: Healthcare, MDPI AG, Vol. 10, No. 11 ( 2022-11-09), p. 2239-
    Abstract: Patient aggression and violence comprise a wide range of behaviors and actions that may include verbal aggression and physical aggression. The aim of this study is to report dental students’ experience with, impact from, and response to patient aggression in Saudi Arabia. A cross-sectional analytical study was conducted among dental students from various health universities representing each region of Saudi Arabia. Data were collected using a self-administered, structured and validated questionnaire. A total of 375 participants responded to the questionnaire and 121 (32.3%) study participants reported experiencing patient aggression. Out of those, 91 (75.21%) experienced patients displaying anger or raising their voice toward them, 37 (30.58%) reported being insulted by a patient, 22 (18.18%) reported being threatened, 12 (6.2%) had experienced sexual harassment, and 65 (50.41%) had experienced verbal harassment. Furthermore, 91 (75.21%) participants reported being abandoned by patients because they were students. A total of 55 (45.45%) participants stated that aggressive patient behavior had an impact on their clinical performance, and 44 (36.36%) considered themselves stressed out. A total of 24 (19.83%) participants took time off due to incidents and 22 (18.18%) thought about quitting dentistry. Prevalence of patient aggression was significant among dental students in Saudi Arabia. These episodes of patient aggression negatively impacted students’ academic performance and wellbeing, necessitating urgent attention. Educational institutions should conduct periodic workshops for students in order to address these issues. Policymakers should develop better policies in order to reduce violence and aggression against health care providers.
    Type of Medium: Online Resource
    ISSN: 2227-9032
    Language: English
    Publisher: MDPI AG
    Publication Date: 2022
    detail.hit.zdb_id: 2721009-1
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  • 3
    In: Diagnostics, MDPI AG, Vol. 14, No. 11 ( 2024-05-22), p. 1079-
    Abstract: Automatic age estimation has garnered significant interest among researchers because of its potential practical uses. The current systematic review was undertaken to critically appraise developments and performance of AI models designed for automated estimation using dento-maxillofacial radiographic images. In order to ensure consistency in their approach, the researchers followed the diagnostic test accuracy guidelines outlined in PRISMA-DTA for this systematic review. They conducted an electronic search across various databases such as PubMed, Scopus, Embase, Cochrane, Web of Science, Google Scholar, and the Saudi Digital Library to identify relevant articles published between the years 2000 and 2024. A total of 26 articles that satisfied the inclusion criteria were subjected to a risk of bias assessment using QUADAS-2, which revealed a flawless risk of bias in both arms for the patient-selection domain. Additionally, the certainty of evidence was evaluated using the GRADE approach. AI technology has primarily been utilized for automated age estimation through tooth development stages, tooth and bone parameters, bone age measurements, and pulp–tooth ratio. The AI models employed in the studies achieved a remarkably high precision of 99.05% and accuracy of 99.98% in the age estimation for models using tooth development stages and bone age measurements, respectively. The application of AI as an additional diagnostic tool within the realm of age estimation demonstrates significant promise.
    Type of Medium: Online Resource
    ISSN: 2075-4418
    Language: English
    Publisher: MDPI AG
    Publication Date: 2024
    detail.hit.zdb_id: 2662336-5
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  • 4
    In: Journal of Dental Education, Wiley, Vol. 85, No. 4 ( 2021-04), p. 494-503
    Abstract: Public mental health concerns have been raised during the coronavirus disease 2019 (COVID‐19) pandemic. The aim of this study was to assess the psychological impact of the pandemic on dental students in Saudi Arabia. Methods A cross‐sectional analytical study was conducted among dental students from different universities in Saudi Arabia selected using 2‐stage cluster sampling. The psychological impact was assessed using the validated Arabic version of the Depression, Anxiety and Stress Scale–21 Item questionnaire. The data were analyzed using SPSS software. The Mann–Whitney U and Kruskal–Wallis tests were used as appropriate. A chi‐squared test was used to compare the proportions between the sociodemographic data and logistic regression analysis to identify variables associated with the student's responses. Results The internal consistency of the scale was excellent (0.954). A total of 697 dental students participated voluntarily in the study; their mean age was 21.76 ± 1.859 years, and 54.7% were female. The majority (96.1%) were single, and 69.4% lived in a household of 〉 5 persons. Significant differences in mental health outcomes were evident for gender, university, and survey time. Elevated levels of depression, anxiety, and stress were recorded among 60.64%, 37.02%, and 34.92%, respectively, of the students. Females, students who lived alone, and junior students were more likely to experience psychological problems during the COVID‐19 pandemic. Conclusions The presence of elevated levels of depression, anxiety and stress among dental students highlights the need for psychological empowerment strategies involving institutional counseling services.
    Type of Medium: Online Resource
    ISSN: 0022-0337 , 1930-7837
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2021
    detail.hit.zdb_id: 2149967-6
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  • 5
    In: Diagnostics, MDPI AG, Vol. 13, No. 3 ( 2023-01-23), p. 414-
    Abstract: Technological advancements in health sciences have led to enormous developments in artificial intelligence (AI) models designed for application in health sectors. This article aimed at reporting on the application and performances of AI models that have been designed for application in endodontics. Renowned online databases, primarily PubMed, Scopus, Web of Science, Embase, and Cochrane and secondarily Google Scholar and the Saudi Digital Library, were accessed for articles relevant to the research question that were published from 1 January 2000 to 30 November 2022. In the last 5 years, there has been a significant increase in the number of articles reporting on AI models applied for endodontics. AI models have been developed for determining working length, vertical root fractures, root canal failures, root morphology, and thrust force and torque in canal preparation; detecting pulpal diseases; detecting and diagnosing periapical lesions; predicting postoperative pain, curative effect after treatment, and case difficulty; and segmenting pulp cavities. Most of the included studies (n = 21) were developed using convolutional neural networks. Among the included studies. datasets that were used were mostly cone-beam computed tomography images, followed by periapical radiographs and panoramic radiographs. Thirty-seven original research articles that fulfilled the eligibility criteria were critically assessed in accordance with QUADAS-2 guidelines, which revealed a low risk of bias in the patient selection domain in most of the studies (risk of bias: 90%; applicability: 70%). The certainty of the evidence was assessed using the GRADE approach. These models can be used as supplementary tools in clinical practice in order to expedite the clinical decision-making process and enhance the treatment modality and clinical operation.
    Type of Medium: Online Resource
    ISSN: 2075-4418
    Language: English
    Publisher: MDPI AG
    Publication Date: 2023
    detail.hit.zdb_id: 2662336-5
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  • 6
    In: Children, MDPI AG, Vol. 9, No. 4 ( 2022-04-17), p. 571-
    Abstract: The purpose of the present study is to evaluate the quality and educational information provided on YouTubeTM about stainless steel crowns (SSC). Videos were searched for on YouTube TM using keywords related to stainless steel crowns in pediatric dentistry in the Google Trends application. A total of 52 videos were available. After exclusion criteria application, 22 videos were selected for the study for analysis. To classify the video content as high or low quality, a scoring system formed of seven parameters was used. For a global evaluation of the video quality, the video information and quality index were applied. Data obtained were analyzed statistically. Only a few videos explained the importance of SSCs. Most of the videos uploaded with a high number of likes were of low quality. Very few videos were of high quality. The content quality and educational quality of videos is poor and incomplete. None of the videos explained the need for the SSC and its benefits in pediatric dentistry.
    Type of Medium: Online Resource
    ISSN: 2227-9067
    Language: English
    Publisher: MDPI AG
    Publication Date: 2022
    detail.hit.zdb_id: 2732685-8
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  • 7
    In: Healthcare, MDPI AG, Vol. 9, No. 4 ( 2021-04-07), p. 429-
    Abstract: The objective of this paper was to evaluate the studies that have reported on psychological issues among dental students in Saudi Arabia and to develop coping strategies to overcome these mental health-related issues. The present systematic review is in accordance with the guidelines for Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). The search for the articles was carried out in the electronic databases by four independent researchers. The data search was performed in the electronic search engines like PubMed, Google Scholar, Web of Science, Scopus, Medline, Embase, Cochrane and Saudi Digital Library for scientific research articles published from January 2000 until December 2020. STROBE guidelines were adopted for qualitative analysis of six articles which met the eligibility criteria. The analysis of the literature revealed that most of the studies included were conducted in the past 8 years in different regions of Saudi Arabia. Findings of this systematic review clearly state that dental students in Saudi Arabia experience higher levels of depression, stress and anxiety and stress during their education period, with a higher stress for female students compared to male students. There is an urgent need to introduce interventional programs and preventive strategies to overcome the long-term effects.
    Type of Medium: Online Resource
    ISSN: 2227-9032
    Language: English
    Publisher: MDPI AG
    Publication Date: 2021
    detail.hit.zdb_id: 2721009-1
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  • 8
    In: Children, MDPI AG, Vol. 9, No. 2 ( 2022-02-08), p. 225-
    Abstract: This study aims to investigate the content and usefulness of YouTube videos on** thumb-sucking habits. Methods: YouTube was systematically searched for all relevant videos on thumb sucking using primary keywords, such as thumb, finger, and digit sucking. Video information was assessed, such as the type of video, number of likes or dislikes, number of views, and duration of upload. The usefulness of videos was analyzed, and information about treatment modalities was evaluated. Results: A total of 331 YouTube videos (314 educational offerings and 17 testimonials) were included in the analysis. Individual users uploaded (36.6%), followed by healthcare professionals (30.5%). Only 4.83% of the videos were classified as having “very useful” general information content, whereas 51.1% were rated as “slightly useful.” There was no significant correlation between the usefulness score and the interaction rate, video length, or viewing rate. The videos advised a psychosocial approach and mechanical or reminder therapy in 32.33% and 25.07% of videos, respectively. Preventive methods accounted for 7.26%, and chemical treatments were discussed in 5.44% of the videos. Conclusion: Information on YouTube about thumb-sucking habits was unsatisfactory and should be improved by oral healthcare professionals and organizations.
    Type of Medium: Online Resource
    ISSN: 2227-9067
    Language: English
    Publisher: MDPI AG
    Publication Date: 2022
    detail.hit.zdb_id: 2732685-8
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  • 9
    Online Resource
    Online Resource
    Jaypee Brothers Medical Publishing ; 2020
    In:  International Journal of Clinical Pediatric Dentistry Vol. 13, No. 4 ( 2020-10-09), p. 327-331
    In: International Journal of Clinical Pediatric Dentistry, Jaypee Brothers Medical Publishing, Vol. 13, No. 4 ( 2020-10-09), p. 327-331
    Type of Medium: Online Resource
    ISSN: 0974-7052 , 0975-1904
    Language: English
    Publisher: Jaypee Brothers Medical Publishing
    Publication Date: 2020
    detail.hit.zdb_id: 2666719-8
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  • 10
    In: Applied Sciences, MDPI AG, Vol. 12, No. 11 ( 2022-05-31), p. 5581-
    Abstract: The technological advancements in the field of medical science have led to an escalation in the development of artificial intelligence (AI) applications, which are being extensively used in health sciences. This scoping review aims to outline the application and performance of artificial intelligence models used for diagnosing, treatment planning and predicting the prognosis of orthognathic surgery (OGS). Data for this paper was searched through renowned electronic databases such as PubMed, Google Scholar, Scopus, Web of science, Embase and Cochrane for articles related to the research topic that have been published between January 2000 and February 2022. Eighteen articles that met the eligibility criteria were critically analyzed based on QUADAS-2 guidelines and the certainty of evidence of the included studies was assessed using the GRADE approach. AI has been applied for predicting the post-operative facial profiles and facial symmetry, deciding on the need for OGS, predicting perioperative blood loss, planning OGS, segmentation of maxillofacial structures for OGS, and differential diagnosis of OGS. AI models have proven to be efficient and have outperformed the conventional methods. These models are reported to be reliable and reproducible, hence they can be very useful for less experienced practitioners in clinical decision making and in achieving better clinical outcomes.
    Type of Medium: Online Resource
    ISSN: 2076-3417
    Language: English
    Publisher: MDPI AG
    Publication Date: 2022
    detail.hit.zdb_id: 2704225-X
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