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Nevra Karamüftüoğlu

Biographic Data

ID8260762
NAMENevra Karamüftüoğlu
GIVEN NAMESNevra
FAMILY NAMEKaramüftüoğlu
SIGNATUREKARAMÜFTÜOĞLU N
AFFILIATIONSUniversity of Health Science
ORCID0000-0002-5045-5551
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS0
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2025
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Artificial Intelligence in Pediatric Dentistry

    Open Access•Nevra Karamüftüoğlu, Büşra Yavuz Üçpunar et al.•ARTICLE•Children•2026

    AI technologies exhibit strong potential to improve diagnostic accuracy in pediatric dentistry. However, limited external validation, methodological variability, and the scarcity of prospective real-world studies restrict immediate clinical implementation. Future research should prioritize the development of multicenter pediatric datasets, harmonized annotation workflows, and transparent, explainable AI (XAI) models to support safe and effective …

  • Panoramic Radiograph-Based Deep Learning Models for Diagnosis and Clinical Decision Support of Furcation Lesions in Primary Molars

    Open Access•Nevra Karamüftüoğlu, Ayşe BULUT et al.•ARTICLE•Children•2025

    The proposed models have potential for standardizing diagnostic outcomes, especially in resource-limited settings and mobile clinical environments

No prominent works on this page.

  • Panoramic Radiograph-Based Deep Learning Models for Diagnosis and Clinical Decision Support of Furcation Lesions in Primary Molars

    Open Access•Nevra Karamüftüoğlu, Ayşe BULUT et al.•ARTICLE•Children•2025

    The proposed models have potential for standardizing diagnostic outcomes, especially in resource-limited settings and mobile clinical environments

  • Artificial Intelligence in Pediatric Dentistry

    Open Access•Nevra Karamüftüoğlu, Büşra Yavuz Üçpunar et al.•ARTICLE•Children•2026

    AI technologies exhibit strong potential to improve diagnostic accuracy in pediatric dentistry. However, limited external validation, methodological variability, and the scarcity of prospective real-world studies restrict immediate clinical implementation. Future research should prioritize the development of multicenter pediatric datasets, harmonized annotation workflows, and transparent, explainable AI (XAI) models to support safe and effective …

Dental Radiography and Imaging (2 works) · Dental Research and COVID-19 (2 works) · Applications of artificial intelligence (1 work) · Clinical decision support system (1 work) · Clinical Practice (1 work) · COVID-19 diagnosis using AI (1 work) · Decision support system (1 work) · Deep learning (1 work) · Dental Health and Care Utilization (1 work) · Expert system (1 work)

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