Irem Okumuş

Dr. Irem Okumuş


Research Focus & Metrics

Academic Career Length

3Years (2024-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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13 April 2026 in Diagnostics
Verified
Journal Article
Open access
PDF file
KBKader BİÇENGİL
Kader BİÇENGİL
AKAyça Kurt
Ayça Kurt
MNMuhammed Enes NARALAN
Muhammed Enes NARALAN
IOIrem Okumuş
Irem Okumuş
Objectives: To evaluate the diagnostic performance of a YOLOv8x-based deep learning model for detecting approximal, occlusal and buccal caries on paediatric panoramic radiographs and to compare its performance with human observers with different levels of clinical experience. Methods: A total of 1526 panoramic radiographs obtained from children aged 5–12 years were retrospectively analysed. Approximal, occlusal, and buccal caries in primary molars were annotated and used to train a YOLOv8x object-detection model. Model performance was evaluated on an independent test set and compared with three human observers: an intern dentist (ID), a novice specialist student (NSS), and an experienced specialist student (ESS). Diagnostic performance was assessed using precision, sensitivity, F1 score, and true positive counts. Results: The YOLOv8x model demonstrated moderate performance in detecting approximal caries (F1 score: 0.576) but showed limited performance for occlusal caries (F1 score: 0.24) and failed to detect buccal caries. The AI model showed lesion-dependent performance. For approximal caries, it performed comparably to ESS observers (p > 0.05) and better than ID (p < 0.001). Performance was poor for buccal caries (p < 0.001), and intermediate for occlusal caries, with no difference from NSS or ESS (p > 0.05) but lower than ID (p < 0.001). Overall, performance was comparable to experienced observers (p > 0.05) and superior to less experienced observers (p < 0.001). Conclusions: The YOLOv8x model achieved diagnostic performance comparable to less experienced clinicians in detecting dental caries on paediatric panoramic radiographs but did not reach expert-level accuracy. These findings suggest that deep learning models may serve as supportive tools in panoramic caries assessment rather than replacements for expert interpretation.

31 August 2024 in MIDDLE BLACK SEA JOURNAL OF HEALTH SCIENCE
Verified
Journal Article
Closed access
SASemih Ercan Akgün
Semih Ercan Akgün
IOIrem Okumuş
Irem Okumuş
Objective: This study aimed to evaluate the quality and readability of information provided by the websites of the Department of Pedodontics in the Dentistry Faculties of State Universities (SU) and Foundation Based Universities (FBU) in Turkey for pediatric patients. Method: All dentistry faculties in Turkey were identified through the Council of Higher Education database and classified as public and FBU. The websites of the faculties were accessed via the Google search engine, and the information pages of the Department of Pediatric Dentistry prepared for the patients were evaluated according to the Quality Criteria for Consumer Health Information (DISCERN), Journal of American Medical Association (JAMA), and Atesman Readability Formula. Results: No significant differences were observed among universities in terms of DISCERN scores (p>0.05), except in Section 1 (p=0.041). In Section 1, SU demonstrated higher DISCERN scores than FBU. None of the Faculties of Dentistry had an 'excellent' score. However, no significant differences were identified between universities in relation to Atesman scores (p>0.05), and no significant differences were found between universities on the JAMA benchmark scale (p>0.05). Conclusion: Within the limitations of this study, it was determined that the quality and readability of information on websites prepared by the Faculty of Dentistry in Turkey for parents of pediatric patients are low. It is recommended that information on university websites, which are official institutions that closely follow scientific developments and are preferred by parents of patients for information purposes, should be checked with appropriate evaluation tools in terms of quality and readability.


16 April 2025
Verified
Book
Open access
PDF file
SASemih Ercan Akgün
Semih Ercan Akgün
HÖHilal Öztürk
Hilal Öztürk
BÇBurak Çarıkçıoğlu
Burak Çarıkçıoğlu
AKAleyna Karaoğlu
Aleyna Karaoğlu
BEBeyza Ecem Alkaç Ekici
Beyza Ecem Alkaç Ekici
ŞPŞenay Polat
Şenay Polat
Erken Çocukluk Çağı Çürüğü Etiyolojisi Risk Faktörleri ve Korunma Yöntemleri Semih Ercan AKGÜN Gümüş Diamin Florürün Etki Mekanizması ve Diş Yapıları Üzerine Etkileri Hilal ÖZTÜRK Burak ÇARIKÇIOĞLU Genç Daimi Dişlerde Rejeneratif Endodontik Tedavi Aleyna KARAOĞLU Beyza Ecem ALKAÇ EKİCİ Çocukluk Döneminin Periodontal Hastalıklarına Güncel Bir Bakış Gizem YILDIZ Molar-Kesici Malformasyonu Hande Elif ÖZÇİFTÇİ Emine KAYA Çocuk Diş Hekimliği ve Sosyal Medya Rümeysa HAMAMCI Aslı SOĞUKPINAR ÖNSÜREN Dental Kök Hücreler ve Süt Dişi Bankacılığı İrem OKUMUŞ Başak Senian BİLGİR Sema AYDINOĞLU Çocuk Diş Hekimliğinde Güncel Biyosilikat Esaslı Biyoaktif Dental Materyaller Merve Gül EREN Emine KAYA Çocuk Diş Hekimliğinde Zirkonyum Kronlar Hakan KARAOĞLAN Neslihan KARAOĞLAN Çocuklarda Diş Renklenmeleri ve Tedavi Seçenekleri Simge POLAT Çocuk Diş Hekimliğinde Uygulanan Yer Tutucularda Konvansiyonel ve Modern Uygulamalar Hazar Baha KARADENİZ Periş ÇELİKEL Sümeyye ZİLAN Sera ŞIMŞEK DERELIOĞLU Pedodontide CAD/CAM Yöntemleri ve Üç Boyutlu Baskı Teknolojileri Merve ULUAKAY Şenay POLAT

16 April 2025
Verified
Book Chapter
Closed access
IOIrem Okumuş
Irem Okumuş
BBBaşak Senian Bilgir
Başak Senian Bilgir
SASema Aydınoğlu
Sema Aydınoğlu

22 December 2025 in Turkish Archives of Pediatrics
Verified
Journal Article
Open access
SASemih Ercan Akgün
Semih Ercan Akgün
DGDerya Guler
Derya Guler
TÇTugba Kontbay Çetin
Tugba Kontbay Çetin
IOIrem Okumuş
Irem Okumuş
MOMuhammet Ali Oruç
Muhammet Ali Oruç
BTBahar Tekin
Bahar Tekin
Objective: To describe oral health status and its relationship with glycemic control in children with type 1 diabetes mellitus (T1DM) using standardized indices. Materials and Methods: A comparative cross-sectional study was conducted with 30 children aged 6-14 years with T1DM and 30 healthy controls. Oral examinations recorded DMFS/ dfs (Decayed, Missing, Filled Surfaces), PUFA/pufa (Pulpal involvement,Ulceration, Fistula, Abscess), Plaque Index (PI), Gingival Index (GI), and Simplified Oral Hygiene Index (OHI-S). Glycated hemoglobin (HbA1c) levels were categorized as ≤7% or >7%. Non-parametric tests, Spearman’s correlation analyses were performed. The level of statistical significance was set at P < .05. Results: The T1DM group had significantly lower DMFS/dfs and PUFA/pufa scores than controls (P < .001 and P = .004, respectively), and no significant differences were found in PI, GI, and OHI-S values. In the T1DM group, correlation analyses between HbA1c levels and oral health indices (DMFS/dfs, PUFA/pufa, PI, GI, and OHI-S) revealed no statistically significant associations (P > .05). No statistically significant correlations were found between HbA1c and any of the oral health indices (P > .05). Conclusion: Children with T1DM showed lower caries experience, possibly due to regular medicalfollow-up, nutritional counseling, and improved oral hygiene. Routine oral health monitoringshould be integrated into pediatric diabetes care.