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To assess the effect of 30° phantom inclination on image quality in the presence of an implant using conebeam computed tomography (CBCT). Materials and methodsThree series of eight scans were taken and categorized by a range of 87-90 kVp and 7.1 mA, and 8 mA. For the first CBCT series, the phantom was placed on a flat plane. For the second series, the phantom was inclined at 30° in the axial plane. For the third series, inclined scans were re-oriented and included for statistics. In total, 24 scans were used for statistics. i.e., eight scans at three different planes (flat plane, inclined plane, and re-oriented inclined plane). All the images were analyzed for artifact and contrast-tonoise ratio (CNR) on ImageJ software. ResultsThe inclination of the dry human mandible phantom by 30° reduces the artifact (p <0.05). However, the CNR was not affected by the phantom inclination. ConclusionThe appropriate inclination of the head can significantly reduce the metal artifact in the presence of implants and thus improve the CBCT image quality for post-operative follow-up.

Chat Generative Pre-Trained Transformer (ChatGPT) is an open artificial intelligence (AI)-powered chatbot with various clinical and academic dentistry applications, including oral and maxillofacial radiology (OMFR). The applications can be extended to generating documents such as oral radiology reports if appropriate prompts are given. There are various challenges associated with this task. Like other fields, ChatGPT can be incorporated to generate content and answer oral radiology-related multiple-choice questions. However, its performance is limited to answering image-based questions. ChatGPT can help in scientific writing but can not be designated as an author due to the lack of validity of the content. This editorial outlines the potential applications and limitations of the current version of ChatGPT in OMFR academic settings.