Artificial Intelligence for Detection of External Cervical Resorption Using Label- Efficient Self-Supervised Learning Method
CE Hours: 1.0
Description: The aim of this study was to leverage label-efficient self-supervised learning (SSL) to train a model that can detect ECR and differentiate it from caries.
At the conclusion of this article, the reader will be able to:
- Describe the value and importance of self-supervised learning methods in the field of artificial intelligence (AI).
- Describe the function of AI models in detecting external cervical resorption (ECR) and differentiating it from root/tooth caries.
- Describe the value of introducing AI to the field of Endodontics for detecting ECR.
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Hossein Mohammad-Rahimi, DDS
Omid Dianat, DDS, MS, MDS
Omid Dianat earned his 2nd Endodontics Certificate and Master of Science in Biomedical Sciences from the University of Maryland School of Dentistry in June 2020. He obtained his Doctorate in Dental Surgery with honors in 2005 from Shahid Beheshti University of Medical Sciences, Dental School, Tehran. After graduation, he immediately commenced an Endodontic Postgraduate Program at Isfahan University of Medical Sciences, earning his 1st Endodontics Certificate and Master's degree in 2008.
Before relocating to the United States in 2015, Dr. Dianat served for seven years as a full-time faculty member in the Endodontic Department at Shahid Beheshti University, where he was teaching to both predoctoral and postgraduate students. His extensive research portfolio includes numerous systematic reviews, clinical trials, animal studies, and in-vitro investigations, culminating in over 75 publications in national and international PubMed-indexed dental journals.
Dr. Dianat's current and past research interests span pain mechanisms and management, advances in technology and biomaterials, Dynamic Navigation in endodontics, and the integration of Artificial Intelligence in dental practices.
He is currently a full-time practitioner at Irvine Endodontics and serves as dean's faculty at the University of Maryland School of Dentistry.
Disclosure(s): No financial relationships to disclose
Reza Abbasi, MSc
Samira Zahedrozegar, DDS
Ali Ashkan, DDS
Saeed Reza Motamedian, DDS, MS
Mohammad Hossein Rohban, MHR
Ali Nosrat, DDS, MS, MDS
Dr. Ali Nosrat is currently a part-time Clinical Assistant Professor at the School of Dentistry, University of Maryland in Baltimore. Dr. Nosrat received his specialty degree in Endodontics and Masters of Oral Biology in June 2015. He became a Diplomate of the American Board of Endodontics in June 2016. Dr. Nosrat maintains a full-time private practice limited to Endodontics in Northern Virginia.
Dr. Nosrat holds a Doctor of Dental Surgery (DDS, 2002) and Master of Science (MS) and a specialty degree in Endodontics from Tehran Dental School, Iran (2002). He received his Board Certification from Iranian Association of Endodontist in 2007.
Dr. Nosrat currently serves on the Research and Scientific Affairs Committee at the AAE. He is a member of the Scientific Advisory Board for the Journal of Endodontics and a scientific reviewer for International Endodontic Journal and Dental Traumatology. He has published more than 50 articles in the fields of pain, vital pulp therapy in immature teeth, regenerative endodontics, root canal anatomy, management of resorptions, and the impacts of COVID-19 pandemic on endodontic patients.
