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- MakaleYalnız künye2026Scopus SJRQ2Clinical Characteristics and Management Outcomes of Pediatric Temporal Bone Fractures: A Retrospective Cohort Study
Bulut, Oktay; Şevik Eliçora, Sultan; Erdem, Duygu
Background: – Pediatric temporal bone fractures may lead to facial paralysis, hearing loss, and cerebrospinal fluid (CSF) leakage. Understanding their clinical and radiologic characteristics is essential for effective management. Methods: – This retrospective, single-center descriptive study included 50 pediatric patients diagnosed with temporal bone fractures between 2013 and 2020. Demographic data, mechanisms of injury, fracture types, facial nerve function, CSF leakage, and audiological findings were analyzed. Fractures were classified according to the McHugh system (longitudinal, transverse, and mixed) and the Kelly-Tami classification [otic capsule sparing (OCS) versus otic capsule violating (OCV)]. Hearing was evaluated using auditory brainstem response (ABR) in children under 6 years and pure-tone audiometry (PTA) with age-appropriate behavioral techniques in older children. Results: – The cohort included 50 patients (mean age: 7.8±3.8 years; 64% boys). Falls were the leading cause of injury, while high-energy traumas such as gunshot and penetrating orbital injuries were rare but associated with complete facial paralysis and total hearing loss. Most fractures were longitudinal and OCS, showing favorable recovery, whereas OCV fractures caused irreversible deficits. CSF leakage occurred in 4 patients, all resolving spontaneously. Surgery was required only for persistent conductive hearing loss, and ossicular reconstruction restored normal hearing. Conclusion: – Pediatric temporal bone fractures are mostly OCS and longitudinal, typically caused by falls. OCV fractures are uncommon but linked to irreversible facial nerve and cochlear injury.
- MakaleYayıncıda açık erişim2026Investigation of the Relationship Between Artificial Intelligence Readiness and Artificial Intelligence Anxiety Levels in Nursing Students; [Hemşirelik Öğrencilerinde Yapay Zeka Hazırbulunuşluk ve Yapay Zeka Kaygı Düzeyleri Arasındaki İlişkinin İncelenmesi]
Yalçın, Suna Uysal; Solhan, Resul
Background: Artificial intelligence and robot technologies in the field of health and nursing practices are a new concept and it is known to have a high potential. For this reason, it is important for nursing students to be prepared for artificial intelligence and not to have problems in their education. In our study, it was aimed to examine the relationship between artificial intelligence readiness and artificial intelligence anxiety levels in nursing students. Methods: This study was descriptive-correlational in nature and was carried out with 176 students between May-June 2024 with a face-to-face questionnaire. “Demographic data Collection Form”, “Artificial Intelligence (AI) Anxiety Scale” and “Medical Artificial Intelligence (MAI) Readiness Scale” were used in the study. Descriptive statistical methods (frequency, mean, percentage analyses), Pearson correlation and linear regression analyses were used in data analysis. Results: 69.3% of the participants were female and 30.7% were male, and the AI anxiety score of female students (45.336 ± 13.747) was higher than that of male students (38.019 ± 16.203). This difference was statistically significant (t = 3.079, p = .002). According to the regression analysis results, medical AI readiness significantly and negatively affects AI anxiety (β = -.150, p .05). This finding indicates that asMAI readiness increases, AI anxiety decreases. Conclusion: In our study, artificial intelligence anxiety and artificial intelligence readiness levels of nursing students were found to be moderate. Nursing undergraduate education curriculum should be updated and courses such as technology/ artificial intelligence in health should be added to the curriculum; students should be informed about the use, positive aspects and advantages of artificial intelligence and their concerns about this issue should be eliminated.
