Applications of Artificial Intelligence in Dentomaxillofacial imaging: A systematic Review

Background and aim: Artificial intelligence (AI) technology has been increasingly developed inoral and maxillofacial imaging. The aim of this systematic review was to assess the applicationsand performance of the developed algorithms in different dentomaxillofacial imaging modalities.Methods and material: A systematic search of PubMed and Scopus databases was performed.The search strategy was set as the combinations of the following keywords: “Artificial Intelligence”,“Machine Learning”, “Deep Learning”, “Neural Network”, “Head and Neck Imaging”,and “Maxillofacial Imaging”. Rayann reference management software was used for initial screening.Full-text screening and data extraction were independently conducted by ۲ reviewers. Therisk of bias was assessed by one reviewer and validated by another.Results: The search returned a total of ۳۳۹۲ articles. After careful evaluation of the titles andabstracts, ۲۸۹۱ were excluded, whereas ۲۴۸ papers were excluded after the full-text examination.An additional manual search was done and eligible articles were added, taking the number of finalincluded articles to ۲۱۱. Most studies focused on AI applications for tooth and implant classificationand identification, ۳D cephalometric landmark detection, lesion detection (periapical, jaws,and bone), and osteoporosis detection.Conclusion: Broad clinical applications were displayed in dentomaxillofacial radiology inthe included papers. These advancements show that AI has a promising prospect in head andneck imaging.

کلیدواژه ها:

Artificial intelligence ، Machine learning ، deep learning ، neural network ، Head and neck imaging ، maxillofacial imaging