Leveraging Large Language Models in the delivery of post-operative dental care: a comparison between an embedded GPT model and ChatGPT.

OBJECTIVE: This study underscores the transformative role of Artificial Intelligence (AI) in healthcare, particularly the promising applications of Large Language Models (LLMs) in the delivery of post-operative dental care. The aim is to evaluate the performance of an embedded GPT model and its comparison with ChatGPT-3.5 turbo. The assessment focuses on aspects like response accuracy, clarity, relevance, and up-to-date knowledge in addressing patient concerns and facilitating informed decision-making. MATERIAL AND METHODS: An embedded GPT model, employing GPT-3.5-16k, was crafted via GPT-trainer to answer postoperative questions in four dental specialties including Operative Dentistry & Endodontics, Periodontics, Oral & Maxillofacial Surgery, and Prosthodontics. The generated responses were validated by thirty-six dental experts, nine from each specialty, employing a Likert scale, providing comprehensive insights into the embedded GPT model's performance and its comparison with GPT3.5 turbo. For content validation, a quantitative Content Validity Index (CVI) was used. The CVI was calculated both at the item level (I-CVI) and scale level (S-CVI/Ave). To adjust I-CVI for chance agreement, a modified kappa statistic (K*) was computed. RESULTS: The overall content validity of responses generated via embedded GPT model and ChatGPT was 65.62% and 61.87% respectively. Moreover, the embedded GPT model revealed a superior performance surpassing ChatGPT with an accuracy of 62.5% and clarity of 72.5%. In contrast, the responses generated via ChatGPT achieved slightly lower scores, with an accuracy of 52.5% and clarity of 67.5%. However, both models performed equally well in terms of relevance and up-to-date knowledge. CONCLUSION: In conclusion, embedded GPT model showed better results as compared to ChatGPT in providing post-operative dental care emphasizing the benefits of embedding and prompt engineering, paving the way for future advancements in healthcare applications.

A bibliometric analysis of scientific literature in digital dentistry from low- and lower-middle income countries.

OBJECTIVE: Bibliometric analysis and citation counts help to acknowledge influence of publications. The aim of this study was to conduct bibliometric and citation analysis of top-cited articles, from low- and lower-middle income countries, on use and application of digital technology in dentistry. METHODOLOGY: A search strategy based on "Digital Dentistry", "Low Income Countries", and "Lower-Middle Income Countries" was used in October 2023 using Scopus database to retrieve articles relevant to digital dentistry, with citation count of 10 or more. From 44 included articles, bibliometric information was analyzed on SPSS version 23. Network analysis based on co-citations, keywords, and number of citations was conducted on VOS software (version 1.6.20). RESULTS: Most relevant articles were published in 2021 (n = 8), with 52.3% original articles, out of which 40.9% were in vitro studies. India had the highest number of articles (n = 24), with most publications in The Journal of Indian Prosthodontic Society (n = 4), and in the domain of General Dentistry (n = 15, 34.1%). Co-authorship network analysis was not significant, but country-wise co-authorship analysis revealed India with the greatest link strength (4.0). Highest occurring keyword was 3D printing (link strength 5.0), and the citation analysis revealed Journal of Prosthetic Dentistry with the most number of published documents (3), having a citation count of 275. Bibliographic coupling for sources revealed Journal of Indian Prosthodontic Society to have the highest link strength of 15.33. CONCLUSION: This analysis uncovers interesting bibliometric and citation based information including key thematic trends, emphasizing crucial role of technologies like 3D printing, CAD/CAM, and CBCT in digital dentistry. The study underscores the imperative for increased original research efforts in low- and lower middle-income countries.

Comparative evaluation of ethanol versus citric acid in removal of oil-based calcium hydroxide from the apical third of root canal system.

Objectives: To evaluate the effectiveness of ethanol compared to citric acid in the removal of oil-based calcium hydroxide from the apical third of the root canal system using passive ultrasonic irrigation. METHODS: The in vitro study was conducted from September to October 2021 at the dental clinics of the Aga Khan University Hospital, Karachi, and comprised single-rooted teeth that were selected from institutional bank of extracted teeth. They were randomly divided into group A having 70% ethanol + passive ultrasonic irrigation, group B 10% citric acid + passive ultrasonic irrigation, group C positive controls and group D negative controls. The specimens were sectioned at 1mm and 3mm from the apex and examined under a dental operating microscope. A single examiner scored the specimens on two different occasions. Data was analysed using SPSS 25. RESULTS: Of the 90 teeth, there were 40(44.4%) in each of the 2 experimental groups and 5(5.5%) in each of the 2 control groups. At 3mm apical sections, ethanol was significantly more effective in the removal of oil-based calcium hydroxide (p=0.01). However, at 1mm from the apex, there was no significant difference between the experimental groups (p=0.064). Intragroup comparison showed that for groups A and B, residual medicament at 1mm sections was significantly greater than at 3mm sections (p<0.001, p=0.003). CONCLUSIONS: Neither irrigant showed complete removal at 1mm and 3mm from the apex. However, at 3mm apical sections, 70% ethanol was significantly more effective compared to 10% citric acid.

Restoration of endodontically treated teeth: A cost-effectiveness analysis of an endocrown versus a complete crown.

STATEMENT OF PROBLEM: Endocrowns have been proposed as an alternative to post-and-core retained complete crowns for structurally compromised endodontically treated teeth. However, an analysis of their cost-effectiveness is lacking. PURPOSE: The purpose of this simulation study was to assess the cost-effectiveness of an endocrown versus a complete crown as a definitive restoration for structurally compromised endodontically treated teeth. MATERIAL AND METHODS: A Markov simulation model was constructed with endodontically treated permanent molar teeth using TreeAge Pro Healthcare (2023) as a starting point for an 18-year-old patient. Costs were extrapolated from the ADA dental survey based on the United States healthcare, and the probabilities of transition were derived from existing literature. The cost-effectiveness was determined by using Monte Carlo microsimulations. A sensitivity analysis was performed to validate the model internally, whereas an experienced health expert and an endodontist performed the face validation. RESULTS: The complete crown was associated with additional health benefits (1.36 and 0.9 more years over a period of 5 years and lifetime, respectively) but at an increased cost (an additional 1143 USD and 1535 USD over a period of 5 years and lifetime, respectively). Moreover, the endocrown was cost-effective at lower Willingness-To-Pay (WTP) values (92% acceptable at 250 USD for 5 years and 73% acceptable at 250 USD for the lifetime of an individual), whereas at increased WTP threshold values, the complete crown was a cost-effective restoration (98.6% acceptable at 1250 USD for 5 years and 99.5% acceptable at 8000 USD over an individual's lifetime). CONCLUSIONS: The endocrown was a cost-effective restorative option at lower WTP values. However, at an increased WTP threshold, the complete crown became a more cost-effective restoration.

Irreversible pulpitis in mature permanent teeth: a cost-effectiveness analysis of pulpotomy versus root canal treatment.

INTRODUCTION: Evidence-based dentistry suggests pulpotomy as a potential alternative to root canal treatment in mature permanent teeth with irreversible pulpitis. However, the evidence surrounding the cost-valuation and cost-efficacy of this treatment modality is not yet established. In this context, we adopted an economic modeling approach to assess the cost-effectiveness of pulpotomy versus root canal treatment, as this could aid in effective clinical decision-making. METHODS: A Markov model was constructed following a mature permanent tooth with irreversible pulpitis in an 18-year-old patient over a lifetime using TreeAge Pro Healthcare 2022. Transition probabilities were estimated based on existing literature. Costs were estimated based on the United States healthcare following a private-payer perspective and parameter uncertainties were addressed using Monte-Carlo simulations. The model was validated internally by sensitivity analyses, and face validation was performed by an experienced endodontist and health economist. RESULTS: In the base case scenario, root canal treatment was associated with additional health benefit but at an increased cost (1.08 more years with an incremental cost of 311.20 USD) over a period of an individual's lifetime. The probabilistic sensitivity analysis revealed pulpotomy to be cost-effective at lower Willingness-To-Pay (WTP) values (99.9% acceptable at 50 USD) whereas increasing the values of WTP threshold root canal treatment was a cost-effective treatment (99.9% acceptable at 550 USD). CONCLUSION: Based on current evidence, pulpotomy was a cost-effective treatment option at lower WTP values for the management of irreversible pulpitis in mature permanent teeth. However, by increasing the WTP threshold, root canal treatment became a more cost-effective treatment option over a period of lifetime of an individual.

Cochrane systematic reviews in dentistry: an Altmetric and network analysis.

Introduction Cochrane systematic reviews (CSRs) play an important role in evidence-based decision-making. Therefore, the present study aimed to determine the social impact of CSRs in dentistry and the inclusivity and diversity of researchers contributing to one of the largest databases in health care research.Methodology The Altmetric and bibliometric data for CSRs in dentistry were obtained through Altmetric Explorer and the Dimensions database and were analysed to determine the trends. Furthermore, the correlation between the number of citations and the Altmetric Attention Score (AAS) was identified using Spearman's correlation co-efficient.Results Mendeley was found to be the most active Altmetric resource, followed by Twitter. The tweets were more popular among the members of the public (65.5%) and had a diverse geographic spread. The co-authorship network analysis revealed an overall dense network of researchers. In the co-citation network analysis, the Journal of Community Dentistry had the greatest influence. Moreover, a weaker correlation was noticed between the citation counts and AAS (rs=0.325; p <0.01).Conclusion CSRs had a modest social impact in terms of AAS; however, the social network of contributing researchers was diverse and the researchers affiliated with the University of Manchester, UK were found to have the strongest link.

Oral mycotic infection caused by a rare Verticillium species - a case report.

BACKGROUND: Deep-seated fungal infections of the oral cavity present a diagnostic challenge as the clinical presentation is usually aggressive leading to misdiagnosis of malignancy. Nevertheless, the species of fungi responsible for such diseases in immunocompromised individuals are varied thus, further complicating the diagnosis. CASE PRESENTATION: Presented below is a case regarding the diagnosis and management of deep mycotic infection of the oral cavity caused by a fungus that very rarely causes disease in humans, the Verticillium species. CONCLUSIONS: The case highlights the fact that rare pathogens should also be considered in the differential diagnosis, especially in patients with debilitating conditions like uncontrolled diabetes. Likewise, histopathological evaluation and microbiological investigations are of paramount importance and remain the gold standard to reach a definitive diagnosis.

Navigating through our history in research: An altmetric analysis for publications by the full-time operative dentistry faculty at the Aga Khan University Hospital in the past decade.

OBJECTIVE: To analyse the social dissemination of publications by fulltime faculty at a tertiary care facility. METHODS: The retrospective study was conducted at the Aga Khan University Hospital, Karachi, and comprised publication records of the fulltime Operative Dentistry faculty members between July 2011 till July 2021. The search was done on Google Scholar, Altmetric Explorer and PubMed electronic databases. After final screening, all the publications in PubMed-indexed journals, including in vitro studies, randomised controlled trials, original research articles, case reports and letters to the editor, for which the Altmetric Attention Score was available were included. RESULTS: Of the 225 publications identified, 34 (15%) formed the final sample. The cumulative citation count for the publications was 617 and Altmetric Attention Score was 158. There were 16 Facebook mentions and 163 tweets. CONCLUSION: The social impact of publications by the Operative Dentistry faculty over a decade was not convincing in terms of Altmetric Attention Score.