Student Researchers' Society Topics

Student Researchers' Society Topics

Artificial intelligence-based image analysis is playing an increasingly important role in medical imaging and diagnostic radiology. The aim of this project is to investigate the potential applications of artificial intelligence in the diagnosis of maxillofacial trauma, with particular emphasis on the detection and localization of midfacial and jaw fractures. The project may involve AI-assisted analysis of CT and other imaging examinations and comparison of algorithm-generated results with routine radiological reports and image assessment performed by maxillofacial surgeons. Diagnostic accuracy, sensitivity and specificity, as well as differences in the detection of various fracture types and anatomical locations, may be evaluated. Students may participate in retrospective clinical data collection, assessment of imaging examinations, data processing, and statistical analysis. The project provides an opportunity to explore the clinical applicability, advantages, and limitations of artificial intelligence in maxillofacial trauma diagnostics.

Platelet-rich fibrin (PRF) is an autologous blood-derived product increasingly used in dentoalveolar and maxillofacial surgery. The aim of the project is to investigate the potential clinical applications of PRF, with particular emphasis on wound healing, bone regeneration, post-extraction healing, and outcomes of maxillofacial surgical procedures. Depending on the selected research question, students may participate in literature-based research, retrospective clinical data collection, or prospective clinical studies. The project also provides an opportunity to gain experience in scientific data collection, statistical analysis, and the preparation and presentation of scientific results.

The increase of human’s time of life increases the need for biomaterials replacing parts of human body or organs. The study of the biointegration of alloplastic materials and development of biocompatible materials is one of the most important research fields of biomedical sciences. Biomaterials or alloplastic materials are synthetic materials used to make devices to replace part of a living system or to function in intimate contact with living tissue. They cannot trigger any toxic and unwanted reaction in the host system.

During the science student circle we plan to investigate the biointegration of dental implants. These implants are artificial replacements of a missing tooth which is made of Titanium (Ti) and are one of the most common medical implants. During biointegration the biomaterial gets in direct contact with the living tissues, it has to be functional for a long time and cannot be harmful for its biological environment (Park, 2000).

The successful biointegration of implants depend from many factors: bulk and surface characteristics, construction (design) and the biocompatibility of the material. Beside this the applied surgical technique, general health condition and life-quality of the patient are also decisive. Biocompatibility is the acceptance of a synthetic material or an artificial implant by the surrounding tissues and by the body as a whole (Park, 2000). The proposed research topic will focus on the surface aspects and biocompatibility of these implants.

 

Park, J.B. (2000). Biomaterials, In: The Biomedical Engineering Handbook, 2nd ed., Vol. I, Bronzino, J.D., (Ed.), IV-1-IV-5, CRC Press and IEEE Press, ISBN 0-8493-0461-X, Boca Raton, Florida, USA

In orthodontics, knowledge of mandibular growth is highly beneficial in diagnosis and treatment planning and is critical in the development of balanced dentofacial structures.

The purpose of this study was to determine whether symphysis morphology could be used as a predictor of the direction of mandibular growth and to assess growth changes of the symphysis.

Co-supervisor: Dr. KATONA, Krisztián

Assessing the reliability of the midpalatal suture maturation stages using CBCT imaging among orthodontists.