Evaluation of root canal filling length on periapical radiograph using artificial intelligence.

Journal: Oral radiology

PMID: 39465425

Abstract

OBJECTIVES: This work proposes a novel method to evaluate root canal filling (RCF) success using artificial intelligence (AI) and image analysis techniques.

Authors

Berrin Çelik

Department of Dentomaxillofacial Radiology, Faculty of Dentistry, Ankara Yıldırım Beyazıt University, Ankara, Turkey.
Mehmet Zahid Genç

Department of Electrical Electronics Engineering, Gazi University, Ankara, Turkey.
Mahmut Emin Çelik

Electrical Electronics Engineering Department, Faculty of Engineering, Gazi University, Ankara, Turkey.

Keywords

Artificial Intelligence Deep Learning Humans Neural Networks, Computer Radiography, Dental Root Canal Obturation

External Resources

View on PubMed Access via DOI PubMed (39465425)

Evaluation of root canal filling length on periapical radiograph using artificial intelligence.

Abstract

Authors

Keywords

External Resources

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