Artificial Intelligence for Detection of External Cervical Resorption Using Label- Efficient Self-Supervised Learning Method

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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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Artificial Intelligence for Detection of External Cervical Resorption Using Label- Efficient Self-Supervised Learning Method
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Hossein Mohammad-Rahimi, DDS

Omid Dianat, DDS, MS, MDS

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.