CV
Dr. Ibrahim Sevki Bayrakdar was born on 13.09.1988 in Erzurum and completed his undergraduate and doctoral education at Atatürk University. He became a specialist in Oral and Maxillofacial Radiology in 2015. In 2016, he started his academic career as a faculty at Eskişehir Osmangazi University (ESOGU) School of Dentistry. Dr. Bayrakdar received the title of Associate Professor in 2019 and is still working at the same university. He established a dental Artificial Intelligence laboratory in the ESOGU School of Dentistry in 2020 and has focused on artificial intelligence research in dentistry. Also, Dr. Bayrakdar conducted research in the field of artificial intelligence at the University of Mississippi Medical Center School of Dentistry between 2022 and 2023. He has more than 100 articles, 67 of which are international. Bayrakdar is the Deputy Director of ESOGU Computer-Aided Diagnosis and Treatment Application and an active member of the Turkish Association of Oral Diagnosis and Maxillofacial Radiology, the European Academy of Dento-Maxillofacial Radiology, International Association of Dento-Maxillofacial Radiology. In addition, CranioCatch Inc., which develops artificial intelligence technologies in dentistry within ESOGU Technopolis. He is the founder and chairman of the board of the company.
Dental Implant Planning and Anatomy Using Artificial Intelligence
Treatment planning of dental and maxillofacial pathologies is based on obtaining clinical and radiological information as much as possible. The key of successful treatment planning is to be able to the image area we want to examine with the least radiation dose by using appropriate radiographic techniques following an appropriate clinical examination. In this presentation, all kinds of novel radiological and artificial intelligence applications and may become routine in examination practice in the future will be examined, based on the scientific literature, and for what applications they can be used to improve examination practice. Cases would be examined with HANDS-ON applications using Artificial Intelligence software and a wide variety would be presented compared to conventional techniques.
Learning objectives
- Will have brief information about Dental Volumetric Tomography, Panoramic units, Artificial intelligence and their functioning and will be able to choose the radiology technique according to the case.
- Will be able to recognize anatomical structures and variations on radiography and define radiopaque/radiolucent lesions.
- They will be able to test the contributions of artificial intelligence to dentists in the anatomy, pathology and planning stages of dental radiology with practical applications.
CURRENT USES OF ARTIFICIAL INTELLIGENCE IN DENTISTRY
Artificial Intelligence (AI), defined as computers that mimic human cognitive functions with the capacity to learn, solve problems, and perform tasks that require human intelligence, is increasingly prevalent in the field of Medicine. Particularly, the evaluation of medical images using AI applications based on Deep Learning (DL) algorithms has become a prominent research area. Similarly, in dentistry, there has been a surge in efforts to evaluate digital images and develop algorithms that support dentists through Decision Support Mechanisms. Numerous studies have focused on the evaluation of teeth, restorations, and dental and jaw pathologies such as caries, periodontal disease, and cysts or tumors in 2D and 3D dental radiographs. Additionally, AI applications are being explored in areas such as orthodontics, endodontics, and implantology, offering enhanced diagnostic accuracy and treatment planning. This lecture will discuss the definition and classification of AI, its current applications in dentistry, and offer a future perspective on AI advancements in this field, highlighting the potential for improved patient outcomes and streamlined dental practices.