Evaluating the Accuracy of Deep Learning Models and Dental Postgraduate Students in Measuring Working Length on Intraoral Periapical X-rays: An In vitro Study.

The Transformative Role of Artificial Intelligence in Dentistry: A Comprehensive Overview Part 2: The Promise and Perils, and the International Dental Federation Communique.

Background and purpose The most widely used social media platform for video content is YouTubeTM. The present study evaluated the quality of information on YouTubeTM on artificial intelligence (AI) in dentistry. Methods This cross-sectional study used YouTubeTM (https://www.youtube.com) for searching videos. The terms used for the search were "artificial intelligence in dentistry," "machine learning in dental care," and "deep learning in dentistry." The accuracy and reliability of the information source were assessed using the DISCERN score. The quality of the videos was evaluated using the modified Global Quality Score (mGQS) and the Journal of the American Medical Association (JAMA) score. Results The analysis of 91 YouTube™ videos on AI in dentistry revealed insights into video characteristics, content, and quality. On average, videos were 22.45 minutes and received 1715.58 views and 23.79 likes. The topics were mainly centered on general dentistry (66%), with radiology (18%), orthodontics (9%), prosthodontics (4%), and implants (3%). DISCERN and mGQS scores were higher for videos uploaded by healthcare professionals and educational content videos(P<0.05). DISCERN exhibited a strong correlation (0.75) with the video source and with JAMA (0.77). The correlation of the video’s content and mGQS, was 0.66 indicated moderate correlation. Conclusion YouTube™ has informative and moderately reliable videos on AI in dentistry. Dental students, dentists and patients can use these videos to learn and educate about artificial intelligence in dentistry. Professionals should upload more videos to enhance the reliability of the content.

ObjectiveThe purpose of this study is to explore the perspectives, familiarity, and readiness of dental faculty members regarding the integration and application of artificial intelligence (AI) in dentistry, with a focus on the possible effects on dental education and clinical practice.MethodologyIn a mix-method cross-sectional quantitative and quantitative study conducted between June 1st and August 30th, 2023, the perspectives of faculty members from a public sector dental college in Pakistan regarding the function of AI were explored. This study used qualitative as well as quantitative techniques to analyse faculty’s viewpoints on the subject. The sample size was comprised of twenty-three faculty members. The quantitative data was analysed using descriptive statistics, while the qualitative data was analysed using theme analysis.ResultsPosition-specific differences in faculty familiarity underscore the value of individualized instruction. Surprisingly few had ever come across AI concepts in their professional lives. Nevertheless, many acknowledged that AI had the potential to improve patient outcomes. The majority thought AI would improve dentistry education. Participants suggested a few dental specialties where AI could be useful.ConclusionThe study emphasizes the significance of addressing in dental professionals’ knowledge gaps about AI. The promise of AI in dentistry calls for specialized training and teamwork between academic institutions and AI developers. Graduates of dentistry programs who use AI are better prepared to navigate shifting environments. The study highlights the positive effects of AI and the value of faculty involvement in maximizing its potential for better dental education and practice.

For clinical application of artificial intelligence (AI) in dentistry, collaboration with computer scientists is necessary. This study aims to evaluate the knowledge of dentists and computer scientists regarding the utilization of AI in dentistry, especially in dentomaxillofacial radiology. 610 participants (374 dentists and 236computer scientists) took part in a survey about AI in dentistry and radiographic imaging. Response options contained Likert scale of agreement/disagreement. Descriptive analyses of agreement scores were performed using quartiles (minimum value, first quartile, median, third quartile, and maximum value). Non-parametric Mann-Whitney test was used to compare response scores between two categories (α = 5%). Dentists academics had higher agreement scores for the questions: "knowing the applications of AI in dentistry", "dentists taking the lead in AI research", "AI education should be part of teaching", "AI can increase the price of dental services", "AI can lead to errors in radiographic diagnosis", "AI can negatively interfere with the choice of Radiology specialty", "AI can cause a reduction in the employment of radiologists", "patient data can be hacked using AI" (p < 0.05). Computer scientists had higher concordance scores for the questions "having knowledge in AI" and "AI's potential to speed up and improve radiographic diagnosis". Although dentists acknowledge the potential benefits of AI in dentistry, they remain skeptical about its use and consider it important to integrate the topic of AI into dental education curriculum. On the other hand, computer scientists confirm technical expertise in AI and recognize its potential in dentomaxillofacial radiology.

Artificial intelligence in dentistry: Exploring emerging applications and future prospects.

Artificial intelligence (AI) is an emerging tool in modern medicine and the digital world. AI can help dentists diagnose oral diseases, design treatment plans, monitor patient progress and automate administrative tasks. The aim of this study is to evaluate the perception and attitude on use of artificial intelligence in dentistry for diagnosis and treatment planning among dentists and non-dentists’ population of south Tamil Nadu region in India. Materials and Methods: A cross sectional online survey conducted using 20 close ended questionnaire google forms which were circulated among the dentists and non -dentists population of south Tamil Nadu region in India. The data collected from 264 participants (dentists -158, non-dentists -106) within a limited time frame were subjected to descriptive statistical analysis. Results: 70.9% of dentists are aware of artificial intelligence in dentistry. 40.5% participants were not aware of AI in caries detection but aware of its use in interpretation of radiographs (43.9%) and in planning of orthognathic surgery (42.4%) which are statistically significant P &lt; 0.05.44.7% support clinical experience of a human doctor better than AI diagnosis. Dentists of 54.4% agree to support AI use in dentistry. Conclusion: The study concluded AI use in dentistry knowledge is more with dentists and perception of AI in dentistry is optimistic among dentists than non -dentists, majority of participants support AI in dentistry as an adjunct tool to diagnosis and treatment planning.

Healthcare amelioration is exponential to technological advancement. In the recent era of automation, the consolidation of artificial intelligence (AI) in dentistry has rendered transformation in oral healthcare from a hardware-centric approach to a software-centric approach, leading to enhanced efficiency and improved educational and clinical outcomes. The aim of this narrative overview is to extend the succinct of the major events and innovations that led to the creation of modern-day AI and dentistry and the applicability of the former in dentistry. This article also prompts oral healthcare workers to endeavor a liable and optimal approach for effective incorporation of AI technology into their practice to promote oral health by exploring the potentials, constraints, and ethical considerations of AI in dentistry. A comprehensive approach for searching the white and grey literature was carried out to collect and assess the data on AI, its use in dentistry, and the associated challenges and ethical concerns. AI in dentistry is still in its evolving phase with paramount applicabilities relevant to risk prediction, diagnosis, decision-making, prognosis, tailored treatment plans, patient management, and academia as well as the associated challenges and ethical concerns in its implementation. The upsurging advancements in AI have resulted in transformations and promising outcomes across all domains of dentistry. In futurity, AI may be capable of executing a multitude of tasks in the domain of oral healthcare, at the level of or surpassing the ability of mankind. However, AI could be of significant benefit to oral health only if it is utilized under responsibility, ethicality and universality.

In recent years, the use of artificial intelligence (AI) has become increasingly popular in dentistry because it facilitates the process of diagnosis and clinical decision-making. However, AI holds multiple prominent drawbacks, which restrict its wide application today. It is necessary for dentists to be aware of AI's pros and cons before its implementation. Therefore, the present study was conducted to comprehensively review various applications of AI in all dental branches along with its advantages and disadvantages. For this review article, a complete query was carried out on PubMed and Google Scholar databases and the studies published during 2010-2022 were collected using the keywords "Artificial Intelligence", "Dentistry," "Machine learning," "Deep learning," and "Diagnostic System." Ultimately, 116 relevant articles focused on artificial intelligence in dentistry were selected and evaluated. In new research AI applications in detecting dental abnormalities and oral malignancies based on radiographic view and histopathological features, designing dental implants and crowns, determining tooth preparation finishing line, analyzing growth patterns, estimating biological age, predicting the viability of dental pulp stem cells, analyzing the gene expression of periapical lesions, forensic dentistry, and predicting the success rate of treatments, have been mentioned. Despite AI's benefits in clinical dentistry, three controversial challenges including ease of use, financial return on investment, and evidence of performance exist and need to be managed. As evidenced by the obtained results, the most crucial progression of AI is in oral malignancies' diagnostic systems. However, AI's newest advancements in various branches of dentistry require further scientific work before being applied to clinical practice. Moreover, the immense use of AI in clinical dentistry is only achievable when its challenges are appropriately managed.

Background The emergence of artificial intelligence (AI) in dentistry offers exciting prospects, alongside notable ethical hurdles. As AI capabilities advance, it is essential to comprehend the implications for dental practices, patient well-being, and the dentist-patient connection. This study aims to explore the ethical considerations and challenges associated with the use of AI in dentistry. Methods A web-based survey was conducted among dentists to gain a deeper understanding of their thoughts, experiences, and concerns regarding the implementation of AI in dental practice. The survey explored various aspects such as the ethical implications of AI, its effects on the relationship between dentists and patients, and the significance of human supervision in AI-assisted decision-making. Results The results of the study underscore the intricate ethical considerations that must be taken into account when incorporating AI technology into dental care. Dental professionals conveyed a preference for AI to serve as a supplement to human expertise, rather than a replacement, underscoring the significance of retaining human oversight and direction. Various concerns were raised regarding the potential for AI to influence clinical judgments, the importance of transparency in AI algorithms, and the necessity of safeguarding patient information. Nevertheless, the participants acknowledged the potential benefits of AI in improving diagnostic precision, treatment planning, and administrative efficacy. Conclusion The utilization of AI in dentistry is undoubtedly advantageous, but its implementation must be handled with care and balance. To achieve this, it is crucial to adhere to ethical standards, maintain a continuous commitment to professional education, and prioritize the preservation of the dentist-patient relationship. AI should be viewed as a tool that complements the dentist's expertise, with human judgment remaining paramount in clinical decision-making.

The significance and use of artificial intelligence (AI) in dentistry and other industries has significantly increased. In the healthcare sector, particularly in endodontics, AI can replicate human intelligence to make complex predictions and decisions. Convolutional neural networks or artificial neural networks have shown promise in endodontics for various applications, including analyzing the anatomy of the root canal system, enhancing the viability of dental pulp stem cells, determining working lengths, identifying periapical lesions and root fractures, and predicting retreatment outcomes. Future applications of this technology, such as prognostic assessment, drug interactions, treatment planning, patient care, and automated endodontic surgery, have been considered. AI has demonstrated precision and accuracy. AI holds potential for improving endodontic treatment and diagnosis, ultimately leading to increased procedure effectiveness. However, before incorporating these models into routine clinical practices, it is essential to validate their usability, reliability, and accessibility. Keywords: Artificial intelligence in dentistry, Digital dentistry, use of AI in dentistry.

Artificial Intelligence (AI) has emerged as a disruptive force in the field of dentistry, reshaping traditional practices and revolutionizing patient care. This abstract explores the transformative power of AI in dentistry, highlighting its potential to enhance diagnostics, treatment planning, and patient outcomes. AI-driven algorithms, powered by deep learning and machine learning techniques, have shown remarkable capabilities in the analysis of dental images, such as radiographs and intraoral scans, leading to more accurate and efficient disease detection. Moreover, AI systems have enabled personalized treatment planning by considering individual patient characteristics and historical data, leading to optimized treatment regimens. This abstract also delves into the role of AI in improving patient engagement and telemedicine services, making dental care more accessible and convenient. Furthermore, the integration of AI in dental practice management has streamlined administrative tasks, allowing dental professionals to focus more on patient care. AI-driven chatbots and virtual assistants have enhanced patient communication and appointment scheduling. However, the adoption of AI in dentistry is not without its challenges, including concerns about data privacy, ethical considerations, and the need for continuous training and education for dental professionals. In conclusion, the transformative power of AI in dentistry is undeniable, offering the potential to improve diagnostics, treatment planning, patient engagement, and practice management. Embracing AI technologies in a responsible and ethical manner has the potential to elevate the quality of dental care, making it more efficient, accurate, and patient-centric. This abstract underscores the need for continued research, regulation, and collaboration among dental professionals, technologists, and policymakers to unlock the full potential of AI in dentistry while addressing its associated challenges.

In recent years, the field of dentistry has witnessed significant advancements through the integration of artificial intelligence (AI). The book Artificial Intelligence in Dentistry, edited by Kaan Orhan and Rohan Jagtap, serves as a comprehensive guide that explores the vast potential of AI in enhancing dental practice. This article summarises key insights from the book, highlighting the transformative impact of AI on dental diagnostics, treatment and education.

To perform a comprehensive review of the use of artificial intelligence (AI) and machine learning (ML) in dentistry, providing the community with a broad insight on the different advances that these technologies and tools have produced, paying special attention to the area of esthetic dentistry and color research. The comprehensive review was conducted in MEDLINE/PubMed, Web of Science, and Scopus databases, for papers published in English language in the last 20 years. Out of 3871 eligible papers, 120 were included for final appraisal. Study methodologies included deep learning (DL; n=76), fuzzy logic (FL; n=12), and other ML techniques (n=32), which were mainly applied to disease identification, image segmentation, image correction, and biomimetic color analysis and modeling. The insight provided by the present work has reported outstanding results in the design of high-performance decision support systems for the aforementioned areas. The future of digital dentistry goes through the design of integrated approaches providing personalized treatments to patients. In addition, esthetic dentistry can benefit from those advances by developing models allowing a complete characterization of tooth color, enhancing the accuracy of dental restorations. The use of AI and ML has an increasing impact on the dental profession and is complementing the development of digital technologies and tools, with a wide application in treatment planning and esthetic dentistry procedures.

Charlotte Wake debates the evolution of artificial intelligence in dentistry. Aim To provide a better understanding of the application of artificial intelligence (AI) in dentistry. Objectives To identify and discuss the utilisation of AI in dental practice. To discuss the recently published white paper on AI in dental practice.

The aim of the study is to identify the prospects and possibilities of using artificial intelligence (AI) and domestic software in the provision of organization dental care in the Russian Federation. An analysis of the actual situation on the use of domestic computer programs using AI for the provision of medical care in the Russian Federation was carried out based on information presented on the official websites of software developers, in scientific sources of information and analytical systems of the Higher Attestation Commission, eLibrary, PubMed, Scopus, Google Scholar. Content analysis and analytical method were used, followed by interpretation of the data and conclusions obtained. To date, information technologies and domestic software aimed at automation, improving safety and quality of medical care are being actively introduced. The requirements for AI-based programs are justified, namely: safety, accessibility for medical professionals and patients, as well as high competitiveness among developers. AI helps to process large amounts of medical data, contributes to the creation of a personalized approach to patient treatment, automates and optimizes administrative processes in healthcare, increases the accuracy of diagnosis, identification of early signs of the disease, predicts the outcome of treatment, neural networks accelerate the development of remote healthcare and telemedicine. However, it is the doctor who should be responsible for the decisions made based on the "tips" and recommendations of artificial intelligence. The use of computer programs using artificial intelligence in dentistry opens up significant prospects for improving the quality of medical care, interaction with patients and improving the level of education of doctors. The most popular programs will be in therapeutic and pediatric dentistry, aimed, among other things, at the prevention of dental diseases.