Artificial intelligence in oral radiology

Abstract

To develop and present a checklist proposed to assist in planning, conducting, and reporting artificial intelligence (AI) studies in dentomaxillofacial radiology (CAIDMR - Checklist for AI in Dentomaxillofacial Radiology). To prepare the CAIDMR, a review was performed with searches in the PubMed, Embase, Scopus, and Web of Science databases with the descriptors of “Artificial Intelligence,” “Deep learning,” “Machine learning,” “Checklist,” “Dental,” and “Radiology,” using the PICOT strategy. In addition, pre-existing guidance documents and the AI management and ethical principles manual provided by the WHO were evaluated. After searching, 81 manuscripts were recruited: 27 from PubMed, 34 from Embase, 10 from Scopus, and 10 from Web of Science. Duplicate articles were removed. The studies were selected by reading the titles and abstracts and finally, the full article, resulting in six manuscripts for the full reading. The checklist was developed with the topic of planning and conducting research and 27 structured items for verification divided into the title, abstract, introduction, method, result, discussion, and other information. The CAIDMR is a guideline with a checklist for reports and studies on the application of AI in oral radiology.

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