The field of artificial intelligence (AI) has experienced considerable growth in recent years, with the advent of technologies that are transforming a range of industries, including healthcare and dentistry. Large language models (LLMs) and natural language processing (NLP) are pivotal to this transformation. This study aimed to assess the efficacy of AI-supported chatbots in responding to questions frequently asked by patients to their doctors regarding oral health. Frequently asked questions in the oral health section of the World Dental Federation FDI website were asked about Google-Gemini Trends and ChatGPT-4 chatbots on July 9, 2024. Responses from ChatGPT and Gemini, as well as those from the FDI webpage, were recorded. The accuracy of the responses given by ChatGPT-4 and Gemini to the four specified questions, the detection of similarities and differences, and the comprehensive examination of ChatGPT-4 and Gemini’s capabilities were analyzed and reported by the researchers. Furthermore, the content of the texts was evaluated in terms of their similarity with respect to the following criteria: “Main Idea,” “Quality Analysis,” “Common Ideas,” and “Inconsistent Ideas.” It was observed that both ChatGPT-4 and Gemini exhibited performance comparable to that of the FDI responses in terms of completeness and clarity. Compared with Gemini, ChatGPT-4 provided responses that were more similar to the FDI responses in terms of relevance. Furthermore, ChatGPT-4 provided responses that were more accurate than those of Gemini in terms of the “Accuracy” criterion. This study demonstrated that, according to the assessment conducted by FDI, the ChatGPT-4 and Gemini applications contain contemporary and comprehensible information in response to general inquiries concerning oral health. These applications are regarded as a prevalent and dependable source of information for individuals seeking to access such data.
25 June 2021 in Orthodontics & Craniofacial Research
This study aimed to evaluate the effects of nasal septum deviation on the pharyngeal airway and craniocervical posture measurements using cone beam computed tomography (CBCT).This retrospective stu...
Objectives: This study aimed to content quality analysis of YouTube videos about aligners in orthodontics by a dentist and by an orthodontist. Material and Methods: Considering the Google Trends analysis, the “aligner,” as the most searched keyword about aligners in orthodontics, was chosen for YouTube searching. A total of 39 included videos were watched for one time by a dentist and orthodontist. Time since upload, video duration, number of views, number of likes, number of dislikes, and number of comments were recorded. Moreover, the interaction index and viewing rate were calculated and the reliability score, video content quality (VCQ), video interaction and quality index (VIQI), and global quality scales (GQS) were recorded by both viewers. Interobserver agreement levels were interpreted with the Concordance Correlation Coefficient (CCC) and data were evaluated at P < 0.05 as the statistically significant level. Results: The results showed that most of the included videos (48.71%) were uploaded by dental companies. However, the averages of VCQ in terms of uploaders were similar for both viewers. The agreement level in all videos between orthodontist and dentist was “good” level at VIQI (CCC = 0.965) and GQS (CCC = 0.943), whereas it was “very poor” level on VCQ (CCC = 0.653). Conclusion: The findings revealed that YouTube video contents about aligners provide moderate information and VCQ, independently from viewers, is similar among uploaders. The agreement levels between dentist and orthodontist on the evaluation of audiovisual quality of the videos were good, whereas this level was poor on the evaluation of information quality of videos.
8 July 2021 in International Journal Of Clinical Practice
Introduction The present study aimed to investigate the contribution of cone-beam computed tomography (CBCT) to the diagnosis of obstructive sleep apnoea syndrome (OSAS). Methods The present study investigate the relationships among body mass index (BMI), upper airway, septum deviation, nasal cavity width, airway, and the hard and soft palate width using CBCT images of 64 patients obtained in Uşak University Faculty of Dentistry. The study included 31 (8 female and 23 male; mean age: 52.52 ± 10.01 years) and 33 patients (12 female and 21 male; mean age: 47.39 ± 10.27 years) with and without OSAS, respectively. Between-group comparisons of non-normally and normally distributed variables were performed using the Mann-Whitney U test and Student's t-test, respectively. Spearman's correlation analysis was used to determine the relationship between quantitative data. Statistical significance was evaluated at P < .01 and P < .05. Results There were significant differences between groups in the BMI, nasal septum position, hard and soft palate width, maxillary skeletal width, and palatal alveolar angle (P < .01). In addition it was also found that BMI was higher, the nasopharyngeal airway was longer, and the soft palate was longer and wider in males. (P = .001; P < .01). Conclusion This study concluded that patients with OSAS had marked narrowing of the upper airway, nasal cavity and maxillary width, shortening and enlargement of the soft palate, and marked increase in BMI. However, to gather sufficiently reliable data for routine use in orthodontic analyses, there is a need for greater number of samples to improve the database.
Aim: This study evaluated the content, reliability, and quality of videos about early orthodontic treatment with clear aligners on YouTube. Methodology: Using the most frequently employed search terms—“Invisalign First” and “aligner for kids”—the authors searched YouTube for relevant videos and recorded the number of views, likes, comments, video duration, and days since uploading. An 11-point content score was employed to identify low- and high-quality videos, and the global quality scale (GQS) was used to examine the quality of the videos. This study adopted a modified version of the DISCERN tool for evaluating the reliability of health and medical information and used the Mann-Whitney U test to compare the video groups with high- and low-quality content. A p-value of <.05 was deemed statistically significant. Results: A content analysis classified 26% of the YouTube videos as high-quality content and 74% as low-quality content. The most frequent topics in the videos were descriptions of the appliance (66%) and the types and mechanism of the appliance (51%), whereas the least mentioned topics were the cost of treatment (13%), the disadvantages of the appliance (5%), and comparisons of treatment options (15%). The quality of the videos was evaluated as moderate in 36% of the 61 videos, poor or generally poor in 28%, and good or excellent in 36%. The mean reliability score (2.49±1.29) indicates that the videos’ reliability was generally poor. The high-quality content group had a greater mean video length, viewing rate, and GQS and reliability score than the low-quality content group. A statistically significant positive correlation was identified between content score, GQS, and reliability score values (p <.05). Conclusion: YouTube video content relating to early orthodontic treatment with clear aligners was generally inadequate. The quality of the videos was moderate, but the reliability score indicated that they were not generally reliable. Orthodontists should be aware of the inadequacies of YouTube recordings and ensure that patients have access to accurate and reliable recordings.