Associate Professor Eleftherios G. Kaklamanos DDS, MSc, MA, Cert, Cert, PhD
Eleftherios G. Kaklamanos is an Associate Professor and academic educator in the Aristotle University of Thessaloniki in Greece, the Mohammed Bin Rashid University of Medicine and Health Sciences in the UAE and the European University Cyprus in Cyprus.
He is also Consultant in Orthodontics, Vice-President of the European Federation of Orthodontics, President of the Greek Orthodontic Society and Editor- in-Chief of the Hellenic Orthodontic Review.
He graduated from the University of Thessaloniki and subsequently pursued postgraduate studies in Preventive/Community Dentistry.
He defended his PhD thesis on the topic of hypoxia effects on the development of the mandibular condyle.
Dr. Kaklamanos undertook orthodontic training leading to a Certificate of specialization and a Master of Science in Orthodontics degree and he possesses an MA in Healthcare Management.
Dr. Kaklamanos has over 80 peer-reviewed articles and scientific publications, has given numerous lectures/courses internationally and in his country and has supervised theses and dissertations for 30 students.
Dr. Kaklamanos was awarded as the valedictorian in his graduating class and has received honoraria, scholarships, distinctions and awards from the American Association of Orthodontists, the Alexander S. Onassis Foundation, as well as various governmental, academic, professional and scientific organizations.
In 2020 Dr. Kaklamanos received the Riyad Bayoumi Research Excellence Award and in 2021 was appointed as an American Association of Orthodontists Ambassador.
Topic: Revolutionizing orthodontic education and clinical practice: harnessing the power of large
language models
The field of orthodontics stands at the threshold of a transformative era, driven by the integration of cutting-edge technology and innovative pedagogy. Large Language Models, such as GPT-3 and GPT-4, represent the latest developments in natural language understanding and generation, having been trained on vast textual datasets. The objective of this presentation is to draw attention to the utilization of Large Language Models in
orthodontic education and clinical practice and initiate a discussion regarding their responsible adoption to advance the field of orthodontics.