ObjectiveTo evaluate the quality, status of clinical practice guidelines on stomatology in China and discuss existing problems, so as to provide references for developing evidence-based guidelines. MethodsComprehensive search was conducted up to January 2014 for relevant clinical practice guidelines on stomatology, and the retrieval date was January 30th, 2014. After data extraction from eligibility guidelines, the quality was evaluated using the AGREE Ⅱ instrument and then descriptive analysis was performed. ResultsFinally a total of 18 guidelines were included, of which, 13 were for oral and maxillofacial surgery diseases. Based on the AGREE Ⅱ instrument, the average scores on the six domains were as follows:71.1% for scope and purpose, 40.1% for stakeholder involvement, 28.8% for rigor of development, 71.5% for clarity of presentation, 42.6% for applicability, and 8.6% for editorial independence. ConclusionThe overall quality of clinical practice guidelines on stomatology in China is relatively poor, only a few diseases are concerned, and no evidence-based guideline has been developed so far. However, considered the limitations of this study, the results of this study is only for a reference.
ObjectiveTo analyze the research status and summarize research hotspots and development trends of research on artificial intelligence in stomatology. MethodsData retrieved from the Web of Science Core Collection database from inception to 2021 were analyzed by CiteSpace software. ResultsThe number of publications about artificial intelligence in stomatology was rising. The United States ranked first in terms of publications and cooperation capabilities. Apart from comprehensive stomatology journals, the literature was mainly published by specialist journals of oral and maxillofacial surgery, orthodontic and dental radiology. Oral head and neck tumors were the frontier field of artificial intelligence research in stomatology. Artificial intelligence, including deep learning and neural networks, showed the tremendous potential medical value and economic value in assisting in the diagnosis and treatment decisions of oral diseases. ConclusionThe research of artificial intelligence in stomatology has rapidly increased, which is conducive to the development of stomatology in the direction of digitalization, intelligence, and individuation.