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Periş Çelikel

As seen in: Wiley Online Library, MDPI
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Articles

Evaluating the Accuracy of Large Language Models in Dentistry: A Multi-Model Study Using Clinical Questions From Turkey's Dental Specialty Exams

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By Nihan Acar, Fatih Sengul, Periş Çelikel
| Wiley Online Library Verified
1 Introduction The accelerated development of artificial intelligence (AI) in recent years has led to significant advances in natural language processing (NLP) and generative artificial intelligence (GenAI). Large language models (LLMs), a subset of GenAI systems, are specifically designed to understand and generate human-like text and have become increasingly prominent in educational and healthcare applications [1, 2].
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Diagnostics | Free Full-Text | Correlations between Dental Age, Skeletal Age, and Mandibular Morphologic Index Changes in Turkish Children in Eastern Anatolia and Their Chronological Age during the Pubertal Growth Spurt Period: A Cross-Sectional Study

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By Fatma Saraç, Periş Çelikel, Büşra Baydemir Kılınç, Murat Büyüksefil
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Evaluation of Pediatric Oral Health‐Related Quality of Life score in children with traumatic dental avulsion injury: A Questionnaire‐Based Cross‐Sectional survey

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By Periş Çelikel, Fatih Sengul, Nilay Ozturk, Aybike Bas
| Wiley Online Library Verified
DATA AVAILABILITY STATEMENT The data that support the findings of this study are available from the corresponding author upon reasonable request.
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