Oral hygiene education and proper oral hygiene are more important and more complicated in patients undergoing orthodontic treatment than in normal individuals and quite important factor as it affects the treatment in many aspects. Inadequate oral hygiene causes gingival problems as well as white spot lesions around the orthodontic brackets. 1 During fixed appliance orthodontic treatment, it is important to keep the brackets and tubes in the accurate position in the mouth for the course of treatment and bracket failure should be minimized during treatment. Another side effect of inadequate oral hygiene is bracket failures due to food accumulation around the bracket. Bracket failure prolongs orthodontic treatment, causing time loss for the dentist and the patient, and causing treatment to

Introduction: Parents and caregivers of paediatric patients usually tend to search for health information on social networks and other online platforms. At this point, the quality and reliability of these sources play an essential part in maintaining the oral health of paediatric patients. Aim:The recent study aimed to analyse the reliability, quality and content of YouTube ™ videos on paediatric oral health instructions; assess the efficacy of these videos; and help health providers lead the parents accessing accurate information on the subject mentioned. Design:The searching term was detected as 'children oral health' (Google Trends Application). The first 150 videos were taken into the study. Six excluding criteria were used, and 40 videos have lasted for the further examinations. Content headings were determined according to the AAPD guidelines on paediatric oral health. The content analysis scores, reliability scores and Global Quality Score were calculated for each of these 40 videos. SPSS 26 statistical software was used in the statistical analysis process of the data; p < 0.05 was considered statistically significant. Results:The recent study results showed that according to content analyses, the videos were classified as 'poor' content with the mean values 4.07 (±1.32). The mean reliability score 2.96 (±0.69) has shown that the reliability of the videos was moderate.Mean Global Quality Score values were 2.95 (±0.73), which means the subjects were moderate quality. The mean reliability of the rich content videos (3.39 ± 0.59) and the Global Quality Score of them (3.43 ± 0.62) were statistically higher compared to the average values of the poor content videos (respectively; 2.73 ± 0.64; 2.69 ± 0.66) (p < 0.05) The average number of likes, dislikes, length, interaction index and viewing rate of rich content videos were higher than the same features of poor content videos (p < 0.05). The videos with rich content were determined in the first 50 videos listed for analyses, and the distribution of the included videos on the list was equally. Conclusion:The present study concluded that the YouTube™ videos providing oral health instructions for paediatric patients and their parents had poor content, medium quality and reliability. Although all the listed content headings were not mentioned in the videos, the content of them still may be useful and educational for individuals.However, dental hygiene practitioners and dentists should be aware of the need in this area and put more effort into improving the YouTube ™ videos on children's oral health in a more detailed way regarding content headings, quality and reliability.

Objective The aim of this study is to evaluate whether fully automatic cephalometric analysis software with artificial intelligence algorithms is as accurate as non‐automated cephalometric analysis software for clinical diagnosis and research. Materials and Methods This is a retrospective archive study using lateral cephalometric radiographs taken from individuals aged 12‐20 years. Cephalometric measurement data were obtained from these lateral cephalometric radiographs by manual landmark marking with non‐automated computer software (Dolphin 11.8). Again, the same radiographs were made using fully automatic digital cephalometric analysis software OrthoDx™ (AI‐Powered Orthodontic Imaging System, Phimentum) and WebCeph (Assemblecircle, Seoul, Korea) with artificial intelligence algorithm, without manual intervention of the researcher and fully automatic markings and measurements were made by the software. Results According to the consistency test, a statistically significant good level of consistency was found between Dolphin and OrthoDx™ measurements and Dolphin and WebCeph measurements in angular measurements (ICC > 0.75, P < .01, ICC > 0.75, P < 0, respectively. 01). A weak level of consistency was found in linear measurement and soft tissue parameters in both software (ICC < 0.50, P < .05, ICC < 0.50, P < .05), and the difference between measurements was statistically found to be different from “0.” Conclusion The results obtained from fully automatic cephalometric analysis software with artificial intelligence algorithms are similar to the results of non‐automated cephalometric analysis software, although there are differences in some parameters. To minimize the margin of error in artificial intelligence‐based fully automatic cephalometric software, the manual intervention of the observer is needed.

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