Nursezen Kavasoğlu
Biographic Data
| ID | 4411721 |
|---|---|
| NAME | Nursezen Kavasoğlu |
| GIVEN NAMES | Nursezen |
| FAMILY NAME | Kavasoğlu |
| SIGNATURE | KAVASOĞLU N |
| AFFILIATIONS | Batman University |
| ORCID | 0009-0008-7293-6461 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Artificial Intelligence-Based Evaluation of Permanent First Molar Extraction Indications in Children Using Panoramic Radiographs
Background: The aim of this study was to develop an artificial intelligence (AI)-based decision support model for evaluating the extraction indication of permanent first molars in pediatric patients using panoramic radiographs, and to investigate the potential contribution of this model to the clinical decision-making process. Methods: This retrospective observational study analyzed 1000 panoramic radiographs obtained from children aged 8-10 year…
Effect of Earthquake‐Related Trauma on Pubertal Maturation
The devastating earthquakes centered in Kahramanmaras on February 6, 2023, caused significant psychosocial stress among children, which may have influenced the timing of pubertal onset. Since early puberty is associated with adverse physical and psychological outcomes, understanding the potential of environmental factors—such as natural disasters—to accelerate pubertal development is of great importance. In this retrospective study, a total of 10…
No prominent works on this page.
Effect of Earthquake‐Related Trauma on Pubertal Maturation
The devastating earthquakes centered in Kahramanmaras on February 6, 2023, caused significant psychosocial stress among children, which may have influenced the timing of pubertal onset. Since early puberty is associated with adverse physical and psychological outcomes, understanding the potential of environmental factors—such as natural disasters—to accelerate pubertal development is of great importance. In this retrospective study, a total of 10…
Artificial Intelligence-Based Evaluation of Permanent First Molar Extraction Indications in Children Using Panoramic Radiographs
Background: The aim of this study was to develop an artificial intelligence (AI)-based decision support model for evaluating the extraction indication of permanent first molars in pediatric patients using panoramic radiographs, and to investigate the potential contribution of this model to the clinical decision-making process. Methods: This retrospective observational study analyzed 1000 panoramic radiographs obtained from children aged 8-10 year…
Classifier (UML (1 work) · Climate Change and Health Impacts (1 work) · Dental Health and Care Utilization (1 work) · Dental Radiography and Imaging (1 work) · Forensic Anthropology and Bioarchaeology Studies (1 work) · Histogram (1 work) · Molar (1 work) · Radiography (1 work) · Receiver operating characteristic (1 work) · Support vector machine (1 work)