Objective: To evaluate the oral health status and treatment needs of children with congenital and acquired heart disease. Methods: This descriptive study included 301 children aged 5–14 from June 2022 to June 2023. Heart conditions were classified by congenital/acquired status and severity. The children’s sociodemographic characteristics, medical and dental history, tooth brushing habits, and non-nutritional habits (bruxism, nail-biting, thumb-sucking, etc.) were evaluated. Oral health assessments including caries, oral hygiene, enamel defects, and dental treatment needs-related indices were recorded. Results: The mean age was 8.95 ± 2.91 years, and 271 (90%) of the children had congenital heart disease. The children with moderate and severe heart disease had significantly higher decayed/missing/filled surfaces (dmfs) (p = 0.038) and pulp exposure (p = 0.015) compared to the children with mild heart disease. According to the International Caries Detection and Assessment System II (ICDAS II) index, which included initial caries lesions, there were no caries-free children and 75.7% had extensive caries. The mean plaque index and gingival index were found to be 1.18 ± 0.38 and 0.69 ± 0.53, respectively. Enamel defects were observed in 15.9%. The Treatment Needs Index (TNI) was 85.8% for the primary teeth and 88.9% for the permanent teeth. The Care Index (CI) was 12.4% for the primary teeth and 10.8% for the permanent teeth. Conclusions: Children with congenital and acquired heart disease exhibit a high prevalence of untreated dental caries, gingivitis, and plaque accumulation, with a high need for dental treatments. Dentists should prioritize addressing these issues to prevent the risk of infective endocarditis (IE) and improve oral health outcomes in this population.

Crown fracture is a type of traumatic injury that mostly affects the maxillary incisors. Depending on the involvement of the pulp, crown fracture may occur as complicated or uncomplicated and constitutes 26–76% of dental injuries in the permanent teeth. The effective treatment of crown fractures should aim to gain optimal aesthetics and function by preserving the vitality of the tooth. There have been case reports in the literature regarding pulpotomy and reattachment techniques in traumatized teeth. However, there has been no case series presenting different endodontic treatments performed with different current materials along with the reattachment technique. The aim of the current case series is to present treatment approaches of 3 crown fracture cases with different pulp treatments and re-attachment technique. In all cases the patients were 8 years old boys. In the first and third cases, complicated crown fractures involved upper central incisors. After endodontic treatment with Cvek pulpotomy, the teeth were restored using Biodentine in case 1 and MTA in case 3. In the second case, uncomplicated crown fracture of the lower central incisor was treated with indirect pulp capping. In all cases, the fractured crown parts were re-attached and the patients were scheduled for recall appointments. Re-attachment technique offers aesthetic, functional and economic treatment option by long-term preserving the anatomic form, color and surface texture. The evaluation of the pulpal status before the reattachment technique and application of the proper pulpal treatment influences the prognosis of the tooth.

Objectives: This study aims to perform a bibliometric analysis of studies published in international journals affiliated with Turkey in the field of pediatric dentistry and to determine the position of Turkish Pediatric Dentistry at the international level. Materials and Methods: The research was conducted using the 'Web of Science' and 'Scopus' databases. The search was performed by entering the following terms into the databases: 'pediatric dentistry' OR 'paediatric dentistry' OR 'pedodontics' and 'children' AND ('dentistry' OR 'teeth' OR 'tooth' OR 'dental' OR 'caries' OR 'oral health' OR 'oral hygiene'). Subsequently, publications were filtered by selecting 'Turkey' on a country basis. Using the 'bibliometrix' package in RStudio, data obtained from the two databases were merged. The analysis included a total of 1,949 publications. The identified publications were evaluated based on publication years, journals in which they were published, citation counts, authors, affiliated institutions, and preferred keywords. Analyses and visualizations from package in RStudio were utilized. Results: Turkey's international collaboration rate is 5%. The United States emerges as the most frequent collaboration partner, with the journal Dental Traumatology standing out among the sources. Hacettepe University is the most productive institution, with 390 publications. The thematic map reveals that 'pulpotomy,' 'mineral trioxide aggregate,' 'fluoride,' and 'remineralization' are the most actively researched topics. Conclusions: Based on data from the Web of Science and Scopus databases, there has been a significant scientific productivity in the field of Turkish Pediatric Dentistry between 1984 and 2024. In future studies, the comprehensiveness of the results can be expanded by analyzing different databases.

To systematically evaluate the diagnostic accuracy of artificial intelligence (AI) models in periapical radiography for detection, classification, and segmentation tasks compared to human experts, while critically appraising methodological quality and risk of bias. The systematic review was conducted in accordance with PRISMA guidelines and registered in PROSPERO (CRD420251132033). Strict exclusion criteria were applied to studies with insufficient dataset sizes (< 200 images) lacking augmentation, ambiguous reference standards, or reporting only accuracy without complementary metrics. A comprehensive literature search was conducted on June 23, 2025, across five electronic databases: PubMed/MEDLINE, Scopus, ScienceDirect, Web of Science, and IEEE Xplore. The search strategy combined keywords related to “periapical radiography” (e.g., periapical X-ray), “artificial intelligence” (e.g., deep learning, neural networks), and specific diagnostic tasks, with no restrictions on publication date or language. Studies utilizing artificial intelligence models for diagnostic tasks on periapical radiographs and validating performance against a human reference standard (expert consensus) were eligible for inclusion. Out of 544 identified records, 47 studies met the full eligibility criteria and were included in the qualitative synthesis. AI models possess a high diagnostic potential in periapical radiography, performing at a level comparable to human experts in tasks such as pathology detection, anatomical segmentation, and implant classification. However, their clinical applicability is currently limited by a high risk of bias, lack of external validation, reliance on cropped datasets, and the use of human consensus as a surrogate reference standard. Future research must prioritize full-arch evaluations, anatomical region-specific performance reporting, and adherence to AI-specific standardized metrics.