scholarly journals Dental Caries Diagnosis and Detection Using Neural Networks: A Systematic Review

2020 ◽  
Vol 9 (11) ◽  
pp. 3579
Author(s):  
María Prados-Privado ◽  
Javier García Villalón ◽  
Carlos Hugo Martínez-Martínez ◽  
Carlos Ivorra ◽  
Juan Carlos Prados-Frutos

Dental caries is the most prevalent dental disease worldwide, and neural networks and artificial intelligence are increasingly being used in the field of dentistry. This systematic review aims to identify the state of the art of neural networks in caries detection and diagnosis. A search was conducted in PubMed, Institute of Electrical and Electronics Engineers (IEEE) Xplore, and ScienceDirect. Data extraction was performed independently by two reviewers. The quality of the selected studies was assessed using the Cochrane Handbook tool. Thirteen studies were included. Most of the included studies employed periapical, near-infrared light transillumination, and bitewing radiography. The image databases ranged from 87 to 3000 images, with a mean of 669 images. Seven of the included studies labeled the dental caries in each image by experienced dentists. Not all of the studies detailed how caries was defined, and not all detailed the type of carious lesion detected. Each study included in this review used a different neural network and different outcome metrics. All this variability complicates the conclusions that can be made about the reliability or not of a neural network to detect and diagnose caries. A comparison between neural network and dentist results is also necessary.

2020 ◽  
Author(s):  
Esther Setién-Suero ◽  
Nancy Murillo-García ◽  
Manuel Sevilla-Ramos ◽  
Georgelina Abreu-Fernández ◽  
Diego Remón-Gallo ◽  
...  

Abstract Background:Due to demographic evolution and the progressive aging of the population, the incidence of dementia has increased worldwide. Many questions about this syndrome have not been resolved yet, such as the relationship between dementia and deficits on social cognition.Therefore, the present review aims to explore this relationship and to establish the possible differential patterns of social cognition deficits in diverse types of neurodegenerative dementias.Methods:The literature searchwas conducted in several electronic databases, including MEDLINE database via Pubmed, Cochrane Library, Lilacs, Web of Science (WoS) and PsycINFO.In order to avoid possible bias during the data extraction, all citations, abstracts information and full-text articles will be independently screen by two reviewers. Themethodological quality of thestudies will be appraised using the Joanna Briggs Institute Critical Evaluation Checklists. All studies published in English or Spanish between October 2009 and October 2019 will be taken into account.Discussion: This systematic review will summarize the evidence provided during the last 10 years regarding the relationship between neurodegenerative dementia and social cognition deficits. This could provide a useful reference to clinicians, since properly defining social cognition profile of each type of neurodegenerative dementia would improve detection and diagnosis, which would undoubtedly guarantee better interventions.Systematic review registration: PROSPERO, ID: 152562


Sensors ◽  
2022 ◽  
Vol 22 (2) ◽  
pp. 496
Author(s):  
Dan Popescu ◽  
Mohamed El-Khatib ◽  
Hassan El-Khatib ◽  
Loretta Ichim

Due to its increasing incidence, skin cancer, and especially melanoma, is a serious health disease today. The high mortality rate associated with melanoma makes it necessary to detect the early stages to be treated urgently and properly. This is the reason why many researchers in this domain wanted to obtain accurate computer-aided diagnosis systems to assist in the early detection and diagnosis of such diseases. The paper presents a systematic review of recent advances in an area of increased interest for cancer prediction, with a focus on a comparative perspective of melanoma detection using artificial intelligence, especially neural network-based systems. Such structures can be considered intelligent support systems for dermatologists. Theoretical and applied contributions were investigated in the new development trends of multiple neural network architecture, based on decision fusion. The most representative articles covering the area of melanoma detection based on neural networks, published in journals and impact conferences, were investigated between 2015 and 2021, focusing on the interval 2018–2021 as new trends. Additionally presented are the main databases and trends in their use in teaching neural networks to detect melanomas. Finally, a research agenda was highlighted to advance the field towards the new trends.


Author(s):  
Antonio Jose Martin-Perez ◽  
María Fernández-González ◽  
Paula Postigo-Martin ◽  
Marc Sampedro Pilegaard ◽  
Carolina Fernández-Lao ◽  
...  

There is no systematic review that has identified existing studies evaluating the pharmacological and non-pharmacological intervention for pain management in patients with bone metastasis. To fill this gap in the literature, this systematic review with meta-analysis aims to evaluate the effectiveness of different antalgic therapies (pharmacological and non-pharmacological) in the improvement of pain of these patients. To this end, this protocol has been written according to the Preferred Reporting Items for Systematic review and Meta-Analysis Protocols (PRISMA-P) and registered in PROSPERO (CRD42020135762). A systematic search will be carried out in four international databases: Medline (Via PubMed), Web of Science, Cochrane Library and SCOPUS, to select the randomized controlled clinical trials. The Risk of Bias Tool developed by Cochrane will be used to assess the risk of bias and the quality of the identified studies. A narrative synthesis will be used to describe and compare the studies, and after the data extraction, random effects model and a subgroup analyses will be performed according to the type of intervention, if possible. This protocol aims to generate a systematic review that compiles and synthesizes the best and most recent evidence on the treatment of pain derived from vertebral metastasis.


Author(s):  
Serena Vi ◽  
Damon Pham ◽  
Yu Yian Marina Du ◽  
Himanshu Arora ◽  
Santosh Kumar Tadakamadla

Purpose: Mini-dental implants (MDIs) have been used to support and retain overdentures, providing patients with a less invasive placement procedure. Although lucrative, the use of MDIs to retain a maxillary overdenture is still not an established treatment modality. This systematic review aims to answer the question: Do mini-implant-retained maxillary overdentures provide a satisfactory treatment outcome for complete edentulism? Methods: A systematic search for relevant articles was conducted to include articles published until April 2021 in the following electronic databases: CINAHL, Cochrane, EMBASE, PubMed, and Web of Science. All empirical studies evaluating the biological, survival, or patient-reported outcomes after placing mini-implant-retained overdentures in maxilla were considered for inclusion. The risk of bias was assessed by utilizing the Joanna Briggs Institute critical appraisal checklist. Study screening and data extraction were conducted by three reviewers independently. Results: The electronic search retrieved 1276 titles after omitting duplicates. Twenty articles were considered for full-text review, of which six studies were included in this systematic review. The included studies evaluated a total of 173 participants with a mean age of 66.3 years. The overall mini-implant survival rate was 77.1% (95% CI: 64.7–89.5%) with a mean follow-up time of 1.79 years (range: 6 months to 3 years). Implant survival differed significantly when comparing complete and partial palatal coverage overdentures. Those with complete palatal coverage exhibited less bone loss overall compared to partial coverage overdentures. Participants of all studies reported an increase in the quality of life and in satisfaction after rehabilitation treatment with MDIs. Conclusions: The survival rate of mini-implants retaining an overdenture in the maxilla was observed to be lower than the values reported for traditional implants in the literature. Improvements were observed in all aspects in terms of patient satisfaction, quality of life, oromyofunction, and articulation after the treatment.


BMJ Open ◽  
2017 ◽  
Vol 7 (9) ◽  
pp. e017567
Author(s):  
Shimels Hussien Mohammed ◽  
Mulugeta Molla Birhanu ◽  
Tesfamichael Awoke Sissay ◽  
Tesfa Dejenie Habtewold ◽  
Balewgizie Sileshi Tegegn ◽  
...  

IntroductionIndividuals living in poor neighbourhoods are at a higher risk of overweight/obesity. There is no systematic review and meta-analysis study on the association of neighbourhood socioeconomic status (NSES) with overweight/obesity. We aimed to systematically review and meta-analyse the existing evidence on the association of NSES with overweight/obesity.Methods and analysisCross-sectional, case–control and cohort studies published in English from inception to 15 May 2017 will be systematically searched using the following databases: PubMed, EMBASE, Web of Sciences and Google Scholar. Selection, screening, reviewing and data extraction will be done by two reviewers, independently and in duplicate. The Newcastle–Ottawa Scale (NOS) will be used to assess the quality of evidence. Publication bias will be checked by visual inspection of funnel plots and Egger’s regression test. Heterogeneity will be checked by Higgins’s method (I2statistics). Meta-analysis will be done to estimate the pooled OR. Narrative synthesis will be performed if meta-analysis is not feasible due to high heterogeneity of studies.Ethics and disseminationEthical clearance is not required as we will be using data from published articles. Findings will be communicated through a publication in a peer-reviewed journal and presentations at professional conferences.PROSPERO registration numberCRD42017063889.


Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 2459-2459
Author(s):  
Jorn Gerritsma ◽  
Ilja Oomen ◽  
Sanne Meinderts ◽  
C. Ellen van der Schoot ◽  
Bart J. Biemond ◽  
...  

Introduction: Blood transfusions are an important treatment modality for patients with either acute or chronic onset anemia such as trauma, sickle cell disease, and hematological malignancies. Transfusion poses a risk for alloimmunization, which may lead to potentially lethal transfusion reactions. A promising strategy to prevent alloimmunization is extensive matching on blood groups, yet this is a costly procedure and should be reserved for patients at highest risk for alloimmunization. Identification of genetic variants that increase the risk for alloimmunization might help to identify high-risk patients and could be used as a screening tool for patients receiving multiple transfusions. Objectives: To summarize all available evidence on genetic risk factors for alloimmunization after blood transfusion. Design: Systematic review with meta-analysis of observational studies. Studies were only included in the meta-analysis if polymorphisms were tested at least 3 times, and if ethnic background of the population and the control populations were comparable between studies. Data sources: The online databases Embase, MEDLINE and the Cochrane Library were search for relevant articles with search terms: 1) transfusion, 2) alloimmunization 3) genetics. The search was last updated March 2018. Eligibility criteria: 1) Primary study that assessed the association of genetic polymorphisms with transfusion related alloimmunization, 2) a human population, 3) studies with at least 50 patients, 4) full text availability. Data extraction: Two reviewers independently screened articles for eligibility, extracted data using a standardized data extraction form. Extracted data included study setting, study population, participant demographics, baseline characteristics, study methodology, comparisons and outcome, and risk of bias. Primary outcome measure: Alloimmunization after one or more blood transfusions. Risk of bias assessment: The quality of the included studies was assessed by the Q-genie tool for genetic association studies. Results: A total of 2045 cases and 24084 controls were derived from 18 genetic case-control studies that were included in this systematic review. Most commonly studied disease group was sickle cell disease (SCD) (8 studies). Three studies included patients with different diseases and seven studies did not report the underlying disease. Eleven studies identified the association of HLA polymorphisms with alloimmunization and 8 studies focused on non-HLA variants. Overall quality of the included studies was moderate (11 studies), 2 studies were of high quality, and 5 studies were ranked as poor. HLA-DRB1*04 (Odds Ratio 7.16, 95%CI 3.87-13.22, P<0.00001) and HLA-DRB1*15 (OR 3.01, 95%CI 1.84-5.53, P<0.0001) were by meta-analysis significantly associated with anti-Fy(a) formation, although there was considerable heterogeneity (I2=78% and 55% respectively). Moreover, HLA-DRB1*10 (OR 2.64, 95%CI 1.41-4.95, P=0.002), HLA*DRB1*11 (OR 2.11, 95%CI 1.34-3.32, P=0.001), and HLA-DRB1*13 (OR 1.71, 95%CI 1.26-2.33, P=0.0006) were overall associated with anti-Kell formation. Heterogeneity was less prominent with an I2 of 0%, 54% and 19% respectively (Figure 1). No other variants were eligible for meta-analysis. Non-HLA variants were tested less extensively, as most variants were reported by only 1 study. Polymorphisms of genes in the immunomodulatory pathways were assessed most frequently. Of these variants, FC-gamma-receptor 2C.nc-ORF was associated with a decreased risk of alloimmunization in SCD (OR 0.26, 95%CI 0.11-0.64, p=0.003). All other associations that were described as significant by the original articles were summarized in Figure 2. Discussion: There is limited evidence supporting the role of genetic risk factors for alloimmunization. The results of our meta-analysis suggest that several HLA polymorphisms potentially influence antigen presentation of the Duffy(a) and Kell antigen. Once confirmed by experimental studies, these polymorphisms could be used as a screening tool for the prevention of alloimmunization among frequently transfused patients. Overall, the effect of genetic variants on alloimmunization has mostly been assessed by small studies, hampering reliable interpretation of the results. Future studies should include large and well-defined cohorts when performing genetic analysis on this complicated subject. Disclosures No relevant conflicts of interest to declare.


10.14311/1121 ◽  
2009 ◽  
Vol 49 (2) ◽  
Author(s):  
M. Chvalina

This article analyses the existing possibilities for using Standard Statistical Methods and Artificial Intelligence Methods for a short-term forecast and simulation of demand in the field of telecommunications. The most widespread methods are based on Time Series Analysis. Nowadays, approaches based on Artificial Intelligence Methods, including Neural Networks, are booming. Separate approaches will be used in the study of Demand Modelling in Telecommunications, and the results of these models will be compared with actual guaranteed values. Then we will examine the quality of Neural Network models. 


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