Evaluation of the Diagnostic and Prognostic Accuracy of Artificial Intelligence in Endodontic Dentistry: A Comprehensive Review of Literature (original) (raw)
Related papers
The Journal of Contemporary Dental Practice, 2020
Aim: With advancements in science and technology, there has been phenomenal developments in the application of neural networks in dentistry. This systematic review aimed to report on the effectiveness of artificial intelligence (AI) applications designed for endodontic diagnosis, decision-making, and prediction of prognosis. Materials and methods: Studies reporting on AI applications in endodontics were identified from the electronic databases such as PubMed, Medline, Embase, Cochrane, Google Scholar, Scopus, and Web of Science, for original research articles published from January 1, 2000, to June 1, 2020. A total of 10 studies that met our eligibility criteria were further analyzed for qualitative data. QUADAS-2 was applied for synthesis of the quality of the studies included. Results: A wide range of AI applications have been implemented in endodontics. The neural networks employed were mostly based on convolutional neural networks (CNNs) and artificial neural networks (ANNs) in their neural architectures. These AI models have been used for locating apical foramen, retreatment predictions, prediction of periapical pathologies, detection and diagnosis of vertical root fractures, and assessment of root morphologies. Conclusion: These studies suggest that the neural networks performed similar to the experienced professionals in terms of accuracy and precision. In some studies, these models have even outperformed the specialists. Clinical significance: These models can be of greater assistance as an expert opinion for less experienced and nonspecialists.
International Journal of Environmental Research and Public Health, 2022
Background: Artificial intelligence (AI) has taken hold in public health because more and more people are looking to make a diagnosis using technology that allows them to work faster and more accurately, reducing costs and the number of medical errors. Methods: In the present study, 120 panoramic X-rays (OPGs) were randomly selected from the Department of Oral and Maxillofacial Sciences of Sapienza University of Rome, Italy. The OPGs were acquired and analyzed using Apox, which takes a panoramic X-ray and automatically returns the dental formula, the presence of dental implants, prosthetic crowns, fillings and root remnants. A descriptive analysis was performed presenting the categorical variables as absolute and relative frequencies. Results: In total, the number of true positive (TP) values was 2.195 (19.06%); true negative (TN), 8.908 (77.34%); false positive (FP), 132 (1.15%); and false negative (FN), 283 (2.46%). The overall sensitivity was 0.89, while the overall specificity w...
Artificial intelligence in modern dentistry
International journal of health sciences
Advancements in the domain of computer science have made artificial intelligence (AI) almost ubiquitous in everyday life. Dentistry is known to easily adapt to new technologies and hence can easily acclimatize to this nascent field. With AI spreading into dentistry, models are being used to ascertain almost every dental condition, ranging from the routine dental caries to the more complex conditions like oral cancer, maxillofacial cysts, alveolar bone loss, and even appraising the urgency for orthodontic extractions. Artificial intelligence, has untapped potential and shows promising prospects. Multiple studies have been evaluated to highlight the progress made till date and it has been seen that AI based automated systems are exceptional in a limited domain and perform on par to dental specialists on a variety of performance parameters. Better adaptation and utilization of technology will help in better and precise treatment outcomes, while also reducing the work burden of the clin...
Artificial intelligence in dentistry—A review
Frontiers in Dental Medicine
Artificial Intelligence (AI) is the ability of machines to perform tasks that normally require human intelligence. AI is not a new term, the concept of AI can be dated back to 1950. However, it has not become a practical tool until two decades ago. Owing to the rapid development of three cornerstones of current AI technology—big data (coming through digital devices), computational power, and AI algorithm—in the past two decades, AI applications have been started to provide convenience to people's lives. In dentistry, AI has been adopted in all dental disciplines, i.e., operative dentistry, periodontics, orthodontics, oral and maxillofacial surgery, and prosthodontics. The majority of the AI applications in dentistry go to the diagnosis based on radiographic or optical images, while other tasks are not as applicable as image-based tasks mainly due to the constraints of data availability, data uniformity, and computational power for handling 3D data. Evidence-based dentistry (EBD)...
Artificial Intelligence in Dentistry: What We Need To Know?
Although dated back to 1950, artificial Intelligence (AI) has not become a practical tool until two decades ago. In fact, AI is the capacity of machines to do tasks that normally require human intelligence. AI applications have been started to provide convenience to people's lives due to the rapid development of big data computational power, as well as AI algorithm. Furthermore, AI has been used in every dental specialties. Most of the applications of AI in dentistry are in diagnosis based on X-ray or visual images, whereas other functions are not as operative as image-based functions mainly due to data availability issues, data uniformity and computing power for processing 3D data. AI machine learning (ML) patterns assimilate from human expertise whereas Evidence-based dentistry (EBD) is the high standard for the decision-making of dentists. Thus, ML can be used as a new precious implement to aid dental executives in manifold phases of work. It is a necessity that institutions integrate AI into their theoretical and practical training programs without forgetting the continuous training of former dentists.
A Review: Impact of Artificial Intelligence on Restorative Dentistry in Recent Times
Saudi Journal of Medicine
Artificial intelligence is defined as "the study and improvement of computer systems capable of performing tasks typically requiring cognitive abilities, such as image perception, speech recognition, decision making, and language translation." When a computer imitates analytical traits such as "learning and problem-solving," which humans normally connect with other human brains, the term "AI" is employed. A profusion of studies and papers on the function of AI in restorative dentistry have been published in recent years, with the majority of the efforts focusing on recognising and diagnosing dental disorders such as caries, gum disease, and tooth fractures. The major purpose of this study is to undertake a thorough review of prior research on the impact of artificial intelligence on restorative dentistry. The relevance of the theme tooth reconstruction was prioritised during the search. AI has achieved important improvements in a wide range of medical f...
BioMed Research International, 2021
Objective. The objective of this systematic review was to investigate the quality and outcome of studies into artificial intelligence techniques, analysis, and effect in dentistry. Materials and Methods. Using the MeSH keywords: artificial intelligence (AI), dentistry, AI in dentistry, neural networks and dentistry, machine learning, AI dental imaging, and AI treatment recommendations and dentistry. Two investigators performed an electronic search in 5 databases: PubMed/MEDLINE (National Library of Medicine), Scopus (Elsevier), ScienceDirect databases (Elsevier), Web of Science (Clarivate Analytics), and the Cochrane Collaboration (Wiley). The English language articles reporting on AI in different dental specialties were screened for eligibility. Thirty-two full-text articles were selected and systematically analyzed according to a predefined inclusion criterion. These articles were analyzed as per a specific research question, and the relevant data based on article general characte...
Artificial intelligence in dentistry and its future
2021
Technology is evolving every day and the latest trends in Artificial Intelligence have made dental procedures less time consuming and minimally invasive. With their application the decision making processes have become easier and faster. Patients are more comfortable and dentists are more confident about their work. This advent of technology into medical science has made both practitioners and their patients comfortable and confident about the treatment rendered and received. The use of machine learning has made the decision making process easier by stimulating human intelligence into the machines that are programmed to think like humans and mimic their actions. Artificial Intelligence has proved itself to be a boon in the field of dentistry. In future AI based comprehensive care systems are expected to have high quality patient care and help researchers know and treat more about diseases. Even though misconceptions and certain limitations about Artificial Intelligence prevails, it...
Romanian Journal of Stomatology
Background. Early diagnosis and monitoring the evolution of the patients is required to be able to have effective preventive attitudes. An easy and cost-effective way of diagnosis is needed for this purpose. The aim of the study was to evaluate the AI level of use in dentistry diagnosis and the fields of its applicability especially for early diagnosis purposes. A secondary objective was to point out the measured performances for automated AI diagnosis by comparison with standard diagnosis procedures. Material and methods. A comprehensive electronic search was performed in November 2022 through PubMed, Scopus, and Web of Science databases. The following keywords were used to search the databases: (”Artificial Intelligence” OR ”neural network” OR ”Deep learning” OR “Machine learning”) AND (”Dentistry” OR “Dental medicine”) AND (” periodontal disease” OR ”periodontics” OR ”Carious lesions” OR ”oral cancer” OR ”restorative” or “early diagnosis”). The risk of bias (RoB) of the included ...