3 research outputs found
Applications of artificial intelligence in dentistry: A comprehensive review
This work was funded by the Spanish Ministry of Sciences, Innovation and Universities under Projects RTI2018-101674-B-I00 and PGC2018-101904-A-100, University of Granada project A.TEP. 280.UGR18, I+D+I Junta de Andalucia 2020 project P20-00200, and Fapergs/Capes do Brasil grant 19/25510000928-3. Funding for open-access charge: Universidad de Granada/CBUAObjective: 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.
Materials and methods: 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.
Results: 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.
Conclusions: 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.
Clinical significance: 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.Spanish Ministry of Sciences, Innovation and Universities RTI2018-101674-B-I00
PGC2018-101904-A-100University of Granada project A.TEP. 280.UGR18Junta de Andalucia P20-00200Fapergs/Capes do Brasil grant 19/25510000928-3Universidad de Granada/CBU
Indoor air Quality and Its Effects on Health in Urban Houses of Indonesia: A case study of Surabaya
There is a possibility that the sick building syndrome has already spread widely among the newly
constructed apartments in major cities of Indonesia. This study investigates the current conditions of indoor air
quality, focusing especially on formaldehyde and TVOC, and their effects on health among occupants in the urban
houses located in the city of Surabaya. A total of 471 respondents were interviewed and 82 rooms were measured
from September 2017 to January 2018. The results indicated that around 50% of the respondents in the
apartments showed some degrees of chemical sensitivity risk. More than 60% of the measured formaldehyde
levels in the apartments exceeded the WHO standard, 0.08 ppm. The respondents living in rooms with higher mean
formaldehyde values tended to have higher multiple chemical sensitivity risk scores.
KEYWORDS: Indoor air quality, Sick building syndrome, QEESI, Formaldehyde, Developing countrie