The aim of this study was to assess oral cancer awareness among undergraduate dental students in Marmara University Faculty of Dentistry. A validated questionnaire which tested oral cancer awareness was given to third- and fifth-year students of the dental faculty of Marmara University. A total of 198 students participated in this survey. Knowledge of oral cancer risk factors and diagnosis procedures, dentistry student's attitude towards oral cancers, management practice regarding oral cancer, and oral cancer information sources were assessed using 25 questions. The data were analyzed with IBM SPSS Statistics 22.0 program. Among 198 participant dentistry students, there were 99 (50%) third-grade and 99 (50%) fifth-grade students. The largest number of the third- and last-grade students identified tobacco (98%) and alcohol usage (87.4%), prior oral cancer lesions (94.9%), viral infections (91.9%), UV exposure (94.4%), betel quid chewing (84.8%), older age (62.1%), and low consumption of fruit and vegetables (85.4%). Both groups showed higher scores in indicating squamous cell carcinoma as the most common form of oral cancer (p < 0.05); yet, third-grade students performed significantly higher scores in indicating erythroplakia and leukoplakia for most likely to be precancerous (p = 0.001; p < 0.05). This study highlighted the importance of improved educational methods for dentistry on oral cancer detection and prevention.

Objective: This study investigated knowledge, attitudes, and perceptions regarding the future of artificial intelligence (AI) for radiological diagnosis among a group of Turkish dental students.Methods: An online survey was conducted consisting of 11 questions using Google Forms and circulated among 4th and 5th grade students at Marmara University, Faculty of Dentistry. The survey consisted of questions regarding participants' recognition of and attitudes toward AI, their opinions on directions of AI development, and their perceptions about the future of AI in oral radiology. IBM SPSS Statistics 25.0 (IBM SPSS, Turkey) program is used for statistical analysis. Results:The study group consists of 75 4th and 65 5th grades and a total of 140 students. Of the 140 participating dental students, 60% were already familiar with the concept of AI, 92.9% agreed stated that they would like to use a software/program that can be helpful in radiological diagnosis and 37.9 % reported that AI would have a future in Turkey. Among two grades, there was no statistically significant difference of answers to questions regarding the future and role of artificial intelligence in oral radiology (p>0.05). Conclusion:According to the findings of the study, most dental students were aware of AI, AI systems could be used to improve diagnostic accuracy when reading radiographs, and AI has a promising role in radiological diagnosis.

Objectives:The purpose of the present study was to examine ultrasonographic appearances of Masseter Muscle (MM) in dentate and edentulous patients without Temporomandibular Disorder (TMD).Materials and Methods: The thickness of the MM in 25 dentate (mean age: 30,68 ± 10,49) and 24 edentulous (mean age: 61,46 ± 9,71) patients, who visited routine dental examination, was measured at rest and at maximum contraction bilaterally. Examinations were performed using an Aloka Prosound α6 (Hitachi Aloka Medical Systems, Tokyo, Japan) equipped with an 8 MHz-wide bandwidth linear active matrix transducer (ranging from 1 to 15 MHz). The visibility and width of the internal echogenic bands of the MM were also assessed and the muscle appearance was classified as I of III types. Type I, characterized by the clear visibility of the fine bands; Type II, thickening echogenicity of the bands; Type III, disappearance or reduction in a number of the bands.Results:MM thickness at rest and contraction in the dentate group were significantly higher than the edentulous group (p <0.05). Type I was the most common echogenic type in both dentate (right:16 (64%), left; 15 (60%)) and edentulous patients (right; 22 (91.7%), left; 18 (75%)). In a dentate group, type II was significantly higher than the edentulous group in both the right and left sides (p <0.05; p <0.01, respectively). Age and gender seemed to have no significant effect on the echogenic type (p ˃0.05).Conclusion:There were significant differences in the thickness at rest and contraction between the dentate and edentulous groups. It was clarified that ultrasonographic features of the MM in dentate and edentulous patients were different.

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