Multidisciplinary Applications of AI in Dentistry: Bibliometric Review
Source abstract
Abstract
This review explores the impact of Artificial Intelligence (AI) in dentistry, reflecting on its potential to reshape traditional practices and meet the increasing demands for high-quality dental care. The aim of this research is to examine how AI has evolved in dentistry over the past two decades, driven by two pivotal questions: “What are the current emerging trends and developments in AI in dentistry?” and “What implications do these trends have for the future of AI in the dental field?”. Utilizing the Scopus database, a bibliometric analysis of the literature from 2000 to 2023 was conducted to address these inquiries. The findings reveal a significant increase in AI-related publications, especially between 2018 and 2023, underscoring a rapid expansion in AI applications that enhance diagnostic precision and treatment planning. Techniques such as Deep Learning (DL) and Neural Networks (NN) have transformed dental practices by enhancing diagnostic precision and reducing workload. AI technologies, particularly Convolutional Neural Networks (CNNs) and Artificial Neural Networks (ANNs), have improved the accuracy of radiographic analysis, from detecting dental pathologies to automating cephalometric evaluations, thereby optimizing treatment outcomes. This advocacy is underpinned by the need for AI applications in dentistry to be both efficacious and ethically sound, ensuring that they not only improve clinical outcomes but also adhere to the highest standards of patient care.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Dental Radiography and Imaging · Artificial Intelligence in Healthcare and Education · Dental Research and COVID-19
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Egas Moniz School of Health & Science, 2829-511 Almada, Portugal
Centro de Estudos Internacionais (CEI), Instituto Universitário de Lisboa (ISCTE-IUL), 1649-026 Lisbon, Portugal
Department of Periodontology, Faculty of Dentistry, Universidade do Porto, 4200-393 Porto, Portugal
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