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INTRODUCTION: The utilization of artificial intelligence (AI) and machine learning (ML) models has brought about a significant transformation in the manner in which periodontists gather information, evaluate associated risks, develop diverse treatment alternatives, anticipate and diagnose dental conditions that compromise periodontal health. The principal objective of this prospective study was to examine periodontists' understanding and acceptance of the application of AI in the realm of periodontology. MATERIALS AND METHODS: This observational study was conducted on 275 participants based on questionnaire using Google Forms. These forms were pre-validated and subsequently circulated among periodontists in Maharashtra via various social media platforms. The study, in its entirety, comprised four open-ended questions on participants' demographics and 14 closed-ended questions, all of which were presented to the participants in English. These questions aimed to elicit participants' awareness, knowledge, attitudes, and perspectives regarding emerging applications of AI in the field of periodontology. To analyze the collected data, researchers employed the widely utilized Statistical Package for Social Sciences (SPSS) version 22.0. RESULT: A 75% response rate was achieved and 68% of the respondents were female. 62% periodontists were aware of AI; however, only 24% were aware of its working principles. Most respondents agreed with the use of AI in periodontal diagnosis; however, they disagreed with the use of AI in predicting clinical attachment loss (69%). 80-82% respondents felt that AI should be a part of postgraduate training and should be implemented in clinical practice. However, most periodontists do not use AI for diagnostic or research purposes. 49% periodontists felt that AI does not have better diagnostic accuracy than periodontists, and therefore cannot replace them in the future. CONCLUSION: Most periodontists possessed a reasonable level of understanding regarding the utilization of AI in the domain of periodontology and expressed a desire to incorporate it into their diagnostic and treatment planning processes for periodontal conditions. Additional endeavors must be undertaken to enhance periodontists' awareness concerning the effective implementation of AI within their professional practice, with the aim of facilitating personalized treatment planning for their respective patients. It is postulated that the integration of AI will augment the likelihood of achieving favorable outcomes within the realm of periodontology.
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BACKGROUND: Bacteremia frequently occurs after treatment procedures such as extractions, scaling, root planing, periodontal surgery. There is currently significant interest in the possibility that bacteremia with oral bacteria may play role in pathogenesis of atherosclerosis. There are well-conducted studies that have determined the frequency of passage of periodontal microorganisms to the bloodstream after periodontal treatment. There is scarce information related to the incidence of periodontopathic microorganisms during bacteremia induced by this procedure. AIM: The aim of this study was to establish the frequency of passage of periodontopathic microorganisms in peripheric blood after scaling and root planing in patients with periodontitis. MATERIALS AND METHODS: Forty subjects with chronic periodontitis were included in the study. Blood samples were drawn from each patient at following intervals pre-treatment i.e., before SRP (P1), immediately after SRP (P2), and 30 minutes after SRP (P3). Following SRP, blood samples were analyzed for following microorganisms: Porphyromonasgingivalis, Tannerella. forysthus, Eikenellanella. corrodens, Campylobacter species, Micromonas. micros, and Prevotella. intermedia. STATISTICAL ANALYSIS USED: Chi-square test. RESULTS: Bacteremia was found in 70% (28/40) immediately after SRP and after 30 min, it was reduced to 25% (10/40) and 7.5% (3/40) presented bacteremia before SRP. CONCLUSIONS: It was concluded that bacteremia frequently occurs immediately after SRP with P. gingivalis showing the highest frequency in blood.