Imaging technologies in dentistry play an important role in evaluating many conditions related to oral and dental health. Developments in artificial intelligence, on the other hand, bring new methods for analysing data obtained from radiological images to the research agenda. BAU Dental Campus incorporates deep learning, machine learning and neural network models into its technology-oriented research ecosystem that combines digital dentistry with advanced artificial intelligence applications. These studies extend to different areas such as the analysis of clinical data, imaging technologies, treatment planning and predictive models regarding the course of disease.

One of the prominent topics of this structure is deep learning and CNN-based imaging models. Known as convolutional neural networks, CNN models enable computer systems to analyse specific patterns in images. BAU Dental Campus lists radiological diagnostic support, lesion detection and oral cancer prediction among the areas of use for CNN-based imaging studies. Thus, imaging technologies and artificial intelligence applications are addressed together within the scope of research aimed at supporting dental diagnostic processes.

Scientific studies on the use of artificial intelligence in dental radiology also demonstrate the development of this field. Current academic literature shows that CNN-based systems are being researched for tasks such as identifying anatomical structures like teeth and bones, as well as detecting caries and certain lesions. However, since the performance of these systems depends on many factors such as the quality of the dataset used, the imaging method and the model developed, it is crucial to evaluate artificial intelligence results alongside clinical expertise.

Research combining imaging and artificial intelligence is also being conducted in the field of oral cancer. Scientific studies show that AI-assisted image analysis is a research area that could contribute to the evaluation of suspicious tissues and lesions. Nevertheless, evaluating the clinical performance of these technologies and validating them on different datasets are among the topics emphasised by scientific studies.

BAU Dental Campus's approach to technology is not limited to image analysis. On the official website, AI-based clinical decision support systems, personalised treatment planning, treatment success and disease progression predictions with machine learning, and AI-assisted CAD/CAM systems are among the research and technology topics. These studies focus on how artificial intelligence can be used in different stages, from the analysis of dental images to treatment planning.

The combination of artificial intelligence and imaging technologies at BAU Dental Campus constitutes one of the research areas for the development of data-driven studies in dentistry. Studies ranging from radiological diagnostic support to lesion detection, oral cancer prediction to clinical decision support systems open up different potential uses of artificial intelligence in the field of dentistry for research. These technologies stand out as part of efforts to develop new tools that can support diagnostic and treatment processes, evaluated alongside clinical expertise.