Omid Dianat

Papers

Total Citations

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About

Omid Dianat is a leading researcher at the intersection of artificial intelligence and endodontics, whose work is reshaping both clinical practice and dental education. His primary research areas include AI-driven diagnostic tools, machine learning applications in root canal treatment, and the integration of technology into endodontic curricula. His most-cited paper, "Artificial Intelligence in Endodontic Education" (2024), has garnered 46 citations, highlighting its immediate impact on how educators and practitioners approach training and decision-making. Dianat’s contributions are notable for bridging the gap between advanced computational methods and practical endodontic challenges, such as improving accuracy in detecting periapical lesions and predicting treatment outcomes. His work not only advances clinical efficiency but also sets a foundation for future AI-enhanced learning environments in dentistry. As a researcher, Dianat is recognized for translating complex AI concepts into accessible tools for students and clinicians, making him a pivotal figure in the digital transformation of endodontics. His ongoing projects continue to explore how machine learning can personalize patient care, ensuring his influence will extend well beyond his current citation record.