Role of biodentine in endodontics: a bibliometric and scientometric analysis

EAI Endorsed Transactions on Pervasive Health and Technology, Journal Year: 2023, Volume and Issue: 9

Published: Sept. 7, 2023

Objective. Vital Pulp therapy using Biodentine has advanced, introducing and allowing new procedures treatments, hence medical education should focus on research publication. The aim of the study was to perform a bibliometric scientometric analysis literature role biodentine in endodontics from 2013 2023. Methodology: A quantitative formed basis methodology. Scientific production indicators were generated 87 documents selected Scopus English keywords ("Biodentine", "Endodontic"). Results: Since 2016, number papers published this topic increased (69%), indicating growing interest towards material. Brazil is country with highest scientific (19%), Universidade Estadual Paulista Júlio de Mesquita Filho most publications (n=9). International Endodontic Journal received 344 citations, Tanomaru-Filho M. (n=6) being cited. Conclusion: It concluded that grown not only authorship, but also scope research, incorporating these resources various scenarios clinical settings.

Language: Английский

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Artificial intelligence to reduce misleading publications on social networks

ICST Transactions on Scalable Information Systems, Journal Year: 2023, Volume and Issue: unknown

Published: Sept. 18, 2023

In this paper we investigated about the potential problems occurring worldwide, regarding social networks with misleading advertisements where some authors applied artificial intelligence techniques such as: Neural as mentioned by Guo, Z., et. al, (2021), sentiment analysis, Paschen (2020), Machine learning, Burkov (2019) cited in Kaufman (2020) and, to combat fake news front of publications study were able identify if these allow solve fear that people feel being victims or videos without checking concerning covid-19. conclusion, it was possible detail used did not manage a deep way. These are real-time applications, since each technique is separately, extracting data from information networks, generating diagnoses alerts.

Language: Английский

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Machine learning for the improvement of adaptive learning in university education

Salud Ciencia y Tecnología - Serie de Conferencias, Journal Year: 2023, Volume and Issue: 2, P. 473 - 473

Published: Oct. 10, 2023

AI is increasingly being introduced in the field of education and educational system, with this approach to personalization according needs each student. This review aims analyze impact adaptive learning artificial intelligence machine techniques improving university by identifying main applications, benefits challenges technology. The Scopus database was extensively searched, where 22 125 studies found met inclusion criteria. results showed that classification students their type perception content use written text analysis as a basis for were proposed strategies improve quality education. Likewise, usefulness algorithms based on SVM predict students' final grades detect possible difficulties highlighted. It concluded early detection difficulties, consideration demographic gender variables academic performance provide solid design effective highlight potential ML transform sector.

Language: Английский

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Uso de la Inteligencia Artificial para la traducción de lenguajes de señas: una revisión sistemática de literatura

Salud Ciencia y Tecnología - Serie de Conferencias, Journal Year: 2023, Volume and Issue: 2, P. 446 - 446

Published: Oct. 8, 2023

Introduction: in this systematic literature review, the use of artificial intelligence sign language translation for people with hearing and speech loss was analyzed. This review aims to identify results application translation. Method: 462 articles, original conference papers SCOPUS, until June 2023, relying on a selection process based Preferred Reporting Items Systematic Reviews Meta-Analyses (PRISMA) statement, which 26 studies met exclusion inclusion criteria. Convolutional Neural Network (CNN) most widely implemented machine learning technique selected studies. Results: Many systems were tested various algorithms datasets different continents create new models improve accuracy. An increasing neural networks achieve better efficiency identified, achieving ranging from 90 % 100 Conclusions: The has greatly excelled field Computer Science significantly improved accuracy led lower communication barriers between natural persons disabilities.

Language: Английский

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Machine Learning for predicting climate change in the environment: Review

Salud Ciencia y Tecnología - Serie de Conferencias, Journal Year: 2023, Volume and Issue: 2, P. 465 - 465

Published: Oct. 10, 2023

Climate changes currently occur abruptly and immediately being unpredictable by the population, causing damage material losses, but with support of current technologies, such as artificial intelligence: machine learning, will help us to anticipate these events. Therefore, this review aims analyze effectiveness learning for prediction climate in environment, provide validity its performance improvement. The methodology employed systematic consisted using PICO establish eligibility criteria grouping them into components that were finally reduced PIOC, which following question was established, what extent does Machine Learning improve environment? gave way development keywords creation search equation. Subsequently, PRISMA used discard articles exclusion inclusion, starting a base 2020 after applying all filters, 22 included SLR. results showed superior unraveling complex interactive associations between environment plant diversity, furthermore ELM method generally provided accuracy other methods predicting monthly soil temperatures at various depths. It concluded is an effective stands out among types intelligence showing positive relationship predict temperature according approach presented, most model suits research should be applied obtain better results.

Language: Английский

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