Assist. Prof. Dr. Nevra Karamüftüoğlu | Artificial Neural Networks | Research Excellence Award
Assistant Professor | Gülhane Faculty of Dentistry, University of Health Sciences | Turkey
Assist. Prof. Dr. Nevra Karamüftüoğlu is an accomplished academic and researcher whose work integrates pediatric dentistry with advanced Artificial Neural Networks to address contemporary clinical and societal challenges. Her expertise centers on Artificial Neural Networks driven decision support systems, diagnostic modeling, and data interpretation in dental sciences, where Artificial Neural Networks are applied to radiographic analysis, preventive strategies, and patient education. Through interdisciplinary collaborations, Artificial Neural Networks have been utilized to enhance biomaterials research, sustainability practices, and intelligent clinical workflows. Her scholarly output includes peer reviewed publications where Artificial Neural Networks support evidence based methodologies, improve accuracy, and strengthen reproducibility. Artificial Neural Networks also underpin her collaborative research with clinicians and engineers, enabling translational impact from laboratory innovation to patient care. The societal relevance of her work is reflected in the use of Artificial Neural Networks to promote preventive oral health, digital literacy, and equitable healthcare delivery. Overall, Artificial Neural Networks represent a unifying framework across her research, teaching, and service, reinforcing global relevance and scientific rigor. Scopus profile of 26 Citations, 7 Documents, 2 h- index.
26
7
2
Citations
Documents
h-index
Featured Publications
Green-Synthesized TiO₂ Nanoparticles Improve Mechanical Performance of Glass Ionomer Cements
Journal of Dentistry, 2026
Article
Artificial Intelligence in Pediatric Dentistry: A Systematic Review and Meta-Analysis
International Journal of Paediatric Dentistry, 2026
Article
Association Between Parental Oral Health Literacy and Child Oral Health Using the TOHLAT-P Scale
BMC Oral Health, 2025
Full-Text Article