Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Journal of Dentistry Indonesia
Yasa, Yasin
Unknown Affiliation
Dentistry

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Association between Sella Turcica Morphology and Obesity in Adolescents Karaman, Ahmet; Buyuk, S. Kutalmış; Yasa, Yasin; Genc, Esra
Journal of Dentistry Indonesia Vol. 25, No. 1
Publisher : UI Scholars Hub

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Sella turcica is an anatomic point in the cephalometric tracing of orthodontic treatment. The formula for body mass index (BMI) is calculated by using the height and weight of an individual. Objective: To evaluate the size and morphology of the sella turcica in healthy, overweight, and obese patients. Methods: The 66 individuals (24 males and 42 females; mean age, 15.05 ± 1.61 years) selected for the study were divided into three groups: obese; overweight; and healthy, according to the BMI percentile classification. The length, diameter and depth measurements of the sella turcica were measured on a lateral cephalometric radiograph. Results: No statistically significant differences were found among the groups, although the length, diameter, and depth of the sella turcica were higher in healthy individuals (P > 0.05). Moreover, the normal sella turcica, compared with other sella turcica variations, was more common in 64.7% of the healthy patients, 61.1% of the overweight patients, and 64.3% of the obese patients. Conclusions: Normal sella turcica is more common than other types of sella turcica. In addition, no significant difference was found among the groups in terms of length, diameter, and depth of the sella turcica.
Evaluation of Dentistry Students' Perceptions and Attitudes Towards Artificial Intelligence in Kazakhstan Yasa, Yasin; Altynbekov, Kubeisin; Onaibekova, Nazgul
Journal of Dentistry Indonesia Vol. 32, No. 1
Publisher : UI Scholars Hub

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Objective: Artificial intelligence’s (AI) potential to analyze medical data and improve patient outcomes is driving its rapid integration into healthcare systems. This study addresses the knowledge gap regarding Kazakhstani dental students’ attitudes toward AI in dentistry. Methods: A survey with 213 participants assessed dental students’ views on AI in dentistry at two Kazakhstani universities. A self-administered questionnaire (22 items) via Google Forms was used to gather data on demographics, baseline knowledge (information sources, understanding of AI principles, and familiarity with dental AI applications), and attitudes/perceptions. Frequency analyses and chi-square tests (p < 0.05) explored the responses. Results: The survey included 213 dental students (mean age: 21.79 ± 1.82 years). Two-thirds of participants reported basic knowledge of AI principles; however, the rate of dental AI application awareness was lower (40.9%). Friends and family (65.7%) were the primary sources of information, followed by lectures (14.1%) and social media (13.6%). The year of study and sex did not significantly impact AI knowledge or attitudes (p > 0.05). Conclusion: This study in Kazakhstan reveals dental students’ limited awareness of dental AI applications despite possessing basic AI knowledge. This study recommends taking AI-related dental courses and participating in AI workshops to equip students for the future of dentistry and empower them to contribute to and potentially lead Kazakh-specific dental AI advancements.
Co-Authors Altynbekov, Kubeisin Buyuk, S. Kutalmış Genc, Esra Karaman, Ahmet Onaibekova, Nazgul