Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Víctor Díaz-Flores García"'
Autor:
Yolanda Freire, Margarita Gómez Sánchez, Ana Suárez, Gerardo Joves, Marlen Nowak, Víctor Díaz-Flores García
Publikováno v:
BMC Oral Health, Vol 23, Iss 1, Pp 1-8 (2023)
Abstract Background Recent years have seen an increase in the use of social media, by the healthcare sector, including dentistry. Indeed, social media may now be important communication tools for dental practices and patients. This work analyzes the
Externí odkaz:
https://doaj.org/article/b0933574291441ffa7af2ec7d0f70f6e
Autor:
Yolanda Freire, Margarita Gómez Sánchez, Julia Sánchez Ituarte, Manuel Frías Senande, Victor Díaz-Flores García, Ana Suárez
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-8 (2024)
Abstract This study investigated the influence of social media on patients regarding aesthetic dental treatments according to sex, type of treatment, and time since their last treatment. A cross-sectional study was conducted using a web-based survey.
Externí odkaz:
https://doaj.org/article/7a24bf6d3565410c8d427f79e584f677
Publikováno v:
International Journal of Environmental Research and Public Health; Volume 19; Issue 14; Pages: 8735
ABACUS. Repositorio de Producción Científica
Universidad Europea (UEM)
ABACUS. Repositorio de Producción Científica
Universidad Europea (UEM)
Knowing how to diagnose effectively and efficiently is a fundamental skill that a good dental professional should acquire. If students perform a greater number of clinical cases, they will improve their performance with patients. In this sense, virtu
The Role and Applications of Artificial Intelligence in Dental Implant Planning: A Systematic Review
Autor:
Monica Macrì, Vincenzo D’Albis, Giuseppe D’Albis, Marta Forte, Saverio Capodiferro, Gianfranco Favia, Abdulrahman Omar Alrashadah, Victor Diaz-Flores García, Felice Festa
Publikováno v:
Bioengineering, Vol 11, Iss 8, p 778 (2024)
Artificial intelligence (AI) is revolutionizing dentistry, offering new opportunities to improve the precision and efficiency of implantology. This literature review aims to evaluate the current evidence on the use of AI in implant planning assessmen
Externí odkaz:
https://doaj.org/article/fbf0e80df2a745dfb31df6b06435bf1e
Autor:
Victor Díaz-Flores García, Yolanda Freire, Marta Tortosa, Beatriz Tejedor, Roberto Estevez, Ana Suárez
Publikováno v:
Applied Sciences, Vol 14, Iss 15, p 6390 (2024)
(1) Background: Large language models (LLMs) are revolutionising various scientific fields by providing advanced support tools. However, the effectiveness of these applications depends on extensive, up-to-date databases to ensure certainty and predic
Externí odkaz:
https://doaj.org/article/159a1af71da24b6399f252ff85830427