scholarly journals The use of artificial intelligence in radiological diagnosis and detection of dental caries: a systematic review

2021 ◽  
Vol 74 (4) ◽  
pp. 262-266
Author(s):  
Karolina Futyma-Gąbka ◽  
Ingrid Różyło-Kalinowska
2020 ◽  
Vol 25 (6) ◽  
pp. 2177-2192 ◽  
Author(s):  
Ilky Pollansky Silva e Farias ◽  
Simone Alves de Sousa ◽  
Leopoldina de Fátima Dantas de Almeida ◽  
Bianca Marques Santiago ◽  
Antonio Carlos Pereira ◽  
...  

Abstract This systematic review compared the oral health status between institutionalized and non-institutionalized elders. The following electronic databases were searched: PubMed (Medline), Scopus, Web of Science, Lilacs and Cochrane Library, in a comprehensive and unrestricted manner. Electronic searches retrieved 1687 articles, which were analyzed with regards to respective eligibility criteria. After reading titles and abstracts, five studies were included and analyzed with respect their methodological quality. Oral status of institutionalized and non-institutionalized elderly was compared through meta-analysis. Included articles involved a cross-sectional design, which investigated 1936 individuals aged 60 years and over, being 999 Institutionalized and 937 non-institutionalized elders. Studies have investigated the prevalence of edentulous individuals, the dental caries experience and the periodontal status. Meta-analysis revealed that institutionalized elderly have greater prevalence of edentulous (OR = 2.28, 95%CI = 1.68-3.07) and higher number of decayed teeth (MD = 0.88, 95%CI = 0.71-1.05) and missed teeth (MD = 4.58, 95%CI = 1.89-7.27). Poor periodontal status did not differ significantly between groups. Compared to non-institutionalized, institutionalized elders have worse dental caries experience.


2019 ◽  
Author(s):  
Albert Annor Antwi ◽  
Ayman Abdulsalam Mohamed Al-Dherasi

2021 ◽  
Vol 11 (7) ◽  
pp. 3253
Author(s):  
Umile Giuseppe Longo ◽  
Sergio De Salvatore ◽  
Vincenzo Candela ◽  
Giuliano Zollo ◽  
Giovanni Calabrese ◽  
...  

Background: The application of virtual and augmented reality technologies to orthopaedic surgery training and practice aims to increase the safety and accuracy of procedures and reducing complications and costs. The purpose of this systematic review is to summarise the present literature on this topic while providing a detailed analysis of current flaws and benefits. Methods: A comprehensive search on the PubMed, Cochrane, CINAHL, and Embase database was conducted from inception to February 2021. The Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines were used to improve the reporting of the review. The Cochrane Risk of Bias Tool and the Methodological Index for Non-Randomized Studies (MINORS) was used to assess the quality and potential bias of the included randomized and non-randomized control trials, respectively. Results: Virtual reality has been proven revolutionary for both resident training and preoperative planning. Thanks to augmented reality, orthopaedic surgeons could carry out procedures faster and more accurately, improving overall safety. Artificial intelligence (AI) is a promising technology with limitless potential, but, nowadays, its use in orthopaedic surgery is limited to preoperative diagnosis. Conclusions: Extended reality technologies have the potential to reform orthopaedic training and practice, providing an opportunity for unidirectional growth towards a patient-centred approach.


2021 ◽  
Vol 144 ◽  
pp. 110969
Author(s):  
Ghezlane Halhoul Merabet ◽  
Mohamed Essaaidi ◽  
Mohamed Ben Haddou ◽  
Basheer Qolomany ◽  
Junaid Qadir ◽  
...  

Author(s):  
Anil Babu Payedimarri ◽  
Diego Concina ◽  
Luigi Portinale ◽  
Massimo Canonico ◽  
Deborah Seys ◽  
...  

Artificial Intelligence (AI) and Machine Learning (ML) have expanded their utilization in different fields of medicine. During the SARS-CoV-2 outbreak, AI and ML were also applied for the evaluation and/or implementation of public health interventions aimed to flatten the epidemiological curve. This systematic review aims to evaluate the effectiveness of the use of AI and ML when applied to public health interventions to contain the spread of SARS-CoV-2. Our findings showed that quarantine should be the best strategy for containing COVID-19. Nationwide lockdown also showed positive impact, whereas social distancing should be considered to be effective only in combination with other interventions including the closure of schools and commercial activities and the limitation of public transportation. Our findings also showed that all the interventions should be initiated early in the pandemic and continued for a sustained period. Despite the study limitation, we concluded that AI and ML could be of help for policy makers to define the strategies for containing the COVID-19 pandemic.


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