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    1-year Results of Molar Incisor Hypomineralization-affected Cases Treated with Silver Modified Atraumatic Restorative Treatment: A Retrospective Study
    (Jaypee Brothers Medical Publishers (P) Ltd, 2024) Bal, Cenkhan; Sozuoz, Melis Arda; Sari, Makbule Buse Dundar; Aksoy, Merve
    Aim and background:Silver-modified atraumatic restorative treatment (SMART) can be an alternative method for molar incisor hypomineralization (MIH)-affected cases. The purpose of this study was to assess whether tooth location and cavity preparation affect the clinical success of MIH-affected permanent molars treated with the SMART technique. Materials and methods: Modified United States Public Health Service criteria were utilized for the analyzes. The clinical records (3, 6, and 12 months) of 19 MIH-affected cases (6–12 years; no spontaneous pain and percussion/palpation sensitivity) treated with the SMART technique were assessed. The groups were allocated based on tooth location (mandibular-maxillary) and cavity preparation (class 1–2). The Fisher exact the Chi-squared test was utilized, and the p-value < 0.05 was accepted as statistically significant. Results: Overall success rates were 94.7% at 3 and 6 months and 52.63% at 12 months. Clinical success did not differ statistically regarding location (p > 0.05). The class 1 cavity preparation group was found to be significantly more successful at the 12-month assessments (p = 0.033). Conclusion: The class of cavity preparation may affect the success of the treatment in long-term assessments. The SMART technique, especially in class 1 occlusal restorations, can be recommended as a short-term alternative to traditional treatment methods for MIH-affected cases. © The Author(s). 2024.
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    Effect of post-curing parameters and material thickness on the color stability of 3D-printed dental resins: An in vitro study
    (Elsevier Masson Sas Editeur, 2025) Topsakal, Kübra Gülnur; Aksoy, Merve; Sukut, Yağızalp; Duran, Gökhan Serhat
    Objective > To assess the effect of variations in post-curing temperatures and times on the colour stability of 3D-printed resins used in orthodontics and paediatric dentistry applications and the effect of material thickness on colour properties was also examined. Methods > The two different disk samples (15.00 x 1.0 mm, n = 90; 15.00 x 2.00, n = 90; diameter and height, respectively) were designed and printed from biocompatible resin with SLA technology. These samples were subjected to various post-curing temperatures and times (60 degrees C and 30 min, 60 degrees C and 90 min, 60 degrees C and 120 min, 60 degrees C and 60 min, 40 degrees C and 60 min, 80 degrees C and 60 min). The values of L, a, and b of the 3D-printed resin samples were evaluated under D65 illumination conditions in the centre of the samples using a spectrophotometer. The same researcher recorded the average values after the measurements were performed three times for each sample. Results > The results indicated significant differences in colour stability (L, a, b values) among samples subjected to different post-curing conditions. Variations in post-curing time and temperature significantly affected the colour of the resins. The study found that certain post-curing conditions could lead to acceptable colour values that are similar to natural teeth. Conclusions > The study concluded that the time and temperature of post-curing significantly affected the colour properties of 3D-printed clear resins used in orthodontic applications. It suggests that a 30-minute post-curing time can yield acceptable colour values, highlighting the importance of selecting appropriate post-curing conditions based on clinical requirements. Additionally, an increase in material thickness was found to correlate with increased yellowness in the samples. Clinical significance > The changes in post-curing temperature and time may impact colour properties. Clinicians should consider this situation when manufacturing with 3D printing.
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    The Place of Artificial Intelligence in Pediatric Dentistry: Traditional Review
    (Selçuk Üniversitesi, 2025) Özalan, Zeynep Esma; Sarı, Makbule Buse Dundar; Aksoy, Merve
    Artificial intelligence, which has developed rapidly in recent years and become the focus of attention in different sectors, is also very popular in the field of health. These applications aim to reduce human expertise, cost and medical error, save time and increase efficiency and accuracy. The main area of interest of artificial intelligence in healthcare is the creation of artificial intelligence programs that can perform clinical diagnosis and make treatment recommendations. The development of artificial intelligence in the field of dentistry is remarkable. However, these attempts started after medical applications and are still in the early stages. Considering the connection between dentistry and technology artificial intelligence applications have the potential of developing in dental practices. The main problem of studies regarding artificial intelligence in dentistry is the difficulties experienced in data organization, processing and editing. Studies usually carried out by making data sets ready for artificial intelligence models, and therefore resulted in high accuracy. There are very few studies on artificial intelligence in the field of pediatric dentistry. However, in recent years, the number of studies reported on the application of artificial intelligence models in this field has been increasing rapidly in parallel with the number of studies in general dentistry. As the availability of data increases, artificial intelligence applications have begun to prove their benefits in various pediatric dental practices. This review aimed to enlighten the use of artificial intelligence mainly in the field of pediatric dentistry and highlight the current developments in this field