Ms. Ekin Çatmabacak | Deep Learning for dentistry | Best Researcher Award
Ekin Çatmabacak, Trakya University, Turkey
Uzm. Ekin Deniz Çatmabacak is a research assistant at Trakya University’s Faculty of Dentistry in Edirne, Turkey. He specializes in Endodontics, focusing on the integration of artificial intelligence in dentistry. With a strong academic foundation, Çatmabacak earned his Master’s degree from Istanbul University’s Faculty of Dentistry in 2019. He is involved in innovative research at the intersection of dental technology and clinical practice, particularly in using deep learning algorithms to enhance diagnostic tools in Endodontics. Ekin’s contributions to scientific literature are significant, with published articles in high-impact journals and involvement in international conferences. He is dedicated to advancing dental research, contributing to the development of more effective, efficient diagnostic methods, and is passionate about applying artificial intelligence to dental science.
Profile
Education
Uzm. Ekin Deniz Çatmabacak completed his Master’s degree at Istanbul University’s Faculty of Dentistry in 2019. His academic journey laid a solid foundation in dentistry, with a particular focus on Endodontics. Currently, he serves as a research assistant at Trakya University’s Faculty of Dentistry, specializing in the application of artificial intelligence (AI) to the field of Endodontics. This unique blend of dental expertise and technological innovation underpins his research, which aims to optimize diagnostic processes and treatment techniques using AI-based solutions. Throughout his education and early career, Ekin has demonstrated a commitment to exploring new methodologies to improve patient care, particularly in complex dental procedures. His academic credentials and ongoing research reflect his dedication to advancing both the scientific and practical aspects of dentistry.
Experience
Uzm. Ekin Deniz Çatmabacak has been a research assistant at Trakya University’s Faculty of Dentistry since June 2021, working in the Endodontics department. In this role, he focuses on the application of advanced technologies such as deep learning algorithms to enhance diagnostic accuracy in dentistry. Ekin has gained significant experience in conducting research projects, publishing articles, and collaborating with international experts in the field. He has contributed to multiple publications in SCI-SSCI journals, with a focus on the detection of fractured endodontic instruments using AI techniques like YOLOv8 and Mask R-CNN. His work has been presented at scientific conferences, demonstrating his ability to communicate complex ideas effectively to both academic peers and practitioners. Ekin’s expertise and experience make him a vital contributor to ongoing research that bridges the gap between traditional dental practices and cutting-edge technological advancements in Endodontics.
Research Focus
Uzm. Ekin Deniz Çatmabacak’s research primarily focuses on leveraging artificial intelligence to improve the diagnostic and therapeutic aspects of Endodontics. His work explores the use of deep learning algorithms to detect fractured instruments in root canals, an issue that often complicates endodontic procedures. By applying AI techniques such as YOLOv8 and Mask R-CNN, Ekin aims to develop more accurate, efficient, and automated diagnostic tools for dentists. He is also researching other clinical applications of AI in dentistry, including trauma management, periapical lesions, and the surgical approach to apical conditions. His research is not only scientifically rigorous but also practically relevant, as it seeks to enhance treatment outcomes for patients and improve operational efficiency for dental practitioners. Through his research, Ekin is working towards integrating AI in routine dental practices, driving the future of dental care towards greater precision and innovation.
Publication Top Notes
- Deep learning algorithms for detecting fractured instruments in root canals (February 2025) 📅🦷
- Detection of Fractured Endodontic Instruments in Periapical Radiographs: A Comparative Study of YOLOv8 and Mask R-CNN (March 2025) 🦷📊
- Kırık Alet Vakalarının Yönetimi: Vaka Serisi (May 2024) 🦷📘
- Travma Sonucu Etkilenen Üst Keser Dişlerin Klinik Yönetimi : Vaka Serileri (May 2024) 🦷🦷
- Periapikal Lezyonlu Dişlerde Apikal Cerrahi Yaklaşımı: Bir Olgu Sunumu (May 2022) 🦷⚕️
- Endodonti ve Yapay Zeka (October 2024) 📚🤖