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  1. Zaujan NAM, Ali A, Osman M, Chee HY, Ithnin NR, Misni N, et al.
    PMID: 34639593 DOI: 10.3390/ijerph181910294
    (1) Background: Lack of food safety awareness and preventive behaviour when dining out increases the risk of food poisoning. Furthermore, food poisoning cases among rural communities have been rising in recent years. However, the health-related mobile application is a promising tool in improving food poisoning prevention knowledge, attitude, practice, and perception (KAP2) among consumers. Therefore, the current study developed a novel smartphone app, MyWarung©, and determined its efficacy in increasing awareness, attitude, practice, and perception of food poisoning and its prevention when dining out, especially among rural consumers. (2) Methods: A quasi-experimental pre-and post-intervention study with a control and intervention group were performed on 100 consumers in Terengganu. (3) Results: The intervention's inter-group outcomes were analysed using the Mann-Whitney test, while the within-group effects were ascertained using the Wilcoxon sign rank test via the SPSS software. It was found that the control group had higher median scores in knowledge (30.0, IQR 7.0), attitude (46.0, IQR 5.0), and practice (34.0, IQR 3.0) than the intervention group before intervention. After the intervention programme, the intervention group showed significant improvement in food poisoning knowledge (p = 0.000), attitude (p = 0.001), and practice (p = 0.000). However, the intervention group's perceived barriers (p = 0.129) and susceptibility (p = 0.069) and the control group's perceived barriers (p = 0.422) did not show any significant improvement. (4) Conclusion: The findings indicated that the MyWarung© mobile app usage enhanced the food poisoning knowledge, preventive attitude, and practice among consumers when dining out.
    Matched MeSH terms: Humans
  2. Soffian SSS, Nawi AM, Hod R, Chan HK, Hassan MRA
    PMID: 34639786 DOI: 10.3390/ijerph181910486
    The increasing pattern of colorectal cancer (CRC) in specific geographic region, compounded by interaction of multifactorial determinants, showed the tendency to cluster. The review aimed to identify and synthesize available evidence on clustering patterns of CRC incidence, specifically related to the associated determinants. Articles were systematically searched from four databases, Scopus, Web of Science, PubMed, and EBSCOHost. The approach for identification of the final articles follows PRISMA guidelines. Selected full-text articles were published between 2016 and 2021 of English language and spatial studies focusing on CRC cluster identification. Articles of systematic reviews, conference proceedings, book chapters, and reports were excluded. Of the final 12 articles, data on the spatial statistics used and associated factors were extracted. Identified factors linked with CRC cluster were further classified into ecology (health care accessibility, urbanicity, dirty streets, tree coverage), biology (age, sex, ethnicity, overweight and obesity, daily consumption of milk and fruit), and social determinants (median income level, smoking status, health cost, employment status, housing violations, and domestic violence). Future spatial studies that incorporate physical environment related to CRC cluster and the potential interaction between the ecology, biology and social determinants are warranted to provide more insights to the complex mechanism of CRC cluster pattern.
    Matched MeSH terms: Humans
  3. Dong AN, Tan BH, Pan Y, Ong CE
    J Pharm Pharm Sci, 2021;24:94-112.
    PMID: 33626316 DOI: 10.18433/jpps31305
    Since the discovery of its role in vitamin D metabolism, significant progress has been made in the understanding of gene organisation, protein structure, catalytic function, and genetic polymorphism of cytochrome P450 2R1 (CYP2R1). Located on chromosome 11p15.2, CYP2R1 possesses five exons, unlike most other CYP isoforms that carry nine exons. CYP2R1 crystal structure displays a fold pattern typical of a CYP protein, with 12 a-helices as its structural core, and b-sheets mostly arranged on one side, and the heme buried in the interior part of the protein. Overall, CYP2R1 structure adopts a closed conformation with the B' helix serving as a gate covering the substrate access channel, with the substrate vitamin D3 occupying a position with the side chain pointing toward the heme group. In liver, CYP2R1 25-hydroxylates vitamin D and serves as an important determinant of 25(OH)D level in the tissue and in circulation. While substrate profile has been well studied, inhibitor specificity for CYP2R1 requires further investigation. Both exonic and non-exonic single nucleotide polymorphisms (SNPs) have been reported in CYP2R1, including the CYP2R1*2 carrying Leu99Pro exchange, and a number of non-exonic SNPs with variable functional consequences in gene regulation. A non-exonic SNP, rs10741657, has its causal relationship with diseases established, including that of rickets, ovarian cancer, and multiple sclerosis. The role of other CYP2R1 SNPs in vitamin D deficiency and their causal link to other traits however remain uncertain currently and more studies are warranted to help identify possible physiological mechanisms underlying those complex traits.
    Matched MeSH terms: Humans
  4. Dewey RS, Hall DA, Plack CJ, Francis ST
    Magn Reson Med, 2021 11;86(5):2577-2588.
    PMID: 34196020 DOI: 10.1002/mrm.28902
    PURPOSE: Detecting sound-related activity using functional MRI requires the auditory stimulus to be more salient than the intense background scanner acoustic noise. Various strategies can reduce the impact of scanner acoustic noise, including "sparse" temporal sampling with single/clustered acquisitions providing intervals without any background scanner acoustic noise, or active noise cancelation (ANC) during "continuous" temporal sampling, which generates an acoustic signal that adds destructively to the scanner acoustic noise, substantially reducing the acoustic energy at the participant's eardrum. Furthermore, multiband functional MRI allows multiple slices to be collected simultaneously, thereby reducing scanner acoustic noise in a given sampling period.

    METHODS: Isotropic multiband functional MRI (1.5 mm) with sparse sampling (effective TR = 9000 ms, acquisition duration = 1962 ms) and continuous sampling (TR = 2000 ms) with ANC were compared in 15 normally hearing participants. A sustained broadband noise stimulus was presented to drive activation of both sustained and transient auditory responses within subcortical and cortical auditory regions.

    RESULTS: Robust broadband noise-related activity was detected throughout the auditory pathways. Continuous sampling with ANC was found to give a statistically significant advantage over sparse sampling for the detection of the transient (onset) stimulus responses, particularly in the auditory cortex (P < .001) and inferior colliculus (P < .001), whereas gains provided by sparse over continuous ANC for detecting offset and sustained responses were marginal (p ~ 0.05 in superior olivary complex, inferior colliculus, medial geniculate body, and auditory cortex).

    CONCLUSIONS: Sparse and continuous ANC multiband functional MRI protocols provide differing advantages for observing the transient (onset and offset) and sustained stimulus responses.

    Matched MeSH terms: Humans
  5. Mumin NA, Rahmat K, Hamid MTR, Ng WL, Chan WY, Cheah XY, et al.
    Curr Med Imaging, 2021;17(4):552-558.
    PMID: 33030134 DOI: 10.2174/1573405616666201007161119
    BACKGROUND: Primary breast angiosarcoma is a rare malignancy with non-specific clinical and radiological findings.

    CASE REPORT: A 30-year-old lady presented with left breast pain and lumpiness for over one year. She has had several breast ultrasounds (US) and was treated for acute mastitis and abscess. Subsequently, in view of the rapid growth of the lump and worsening pain, she was re-investigated with US, elastography, digital breast tomosynthesis (DBT) and MRI. MRI raised the suspicion of angiosarcoma. The diagnosis was confirmed after biopsy and she underwent mastectomy.

    DISCUSSION: Literature review on imaging findings of breast angiosarcoma, especially on MRI, is discussed. MRI features showed heterogeneous low signal intensity on T1 and high signal intensity on T2. Dynamic contrast enhancement (DCE) features included either early enhancement with or without washout in the delayed phase, and some reported central areas of non-enhancement.

    CONCLUSION: This case report emphasises on the importance of MRI in clinching the diagnosis of breast angiosarcoma, and hence, should be offered sooner to prevent diagnostic delay.

    Matched MeSH terms: Humans
  6. Cheo SW, Low QJ
    QJM, 2021 05 19;114(3):219-220.
    PMID: 32539138 DOI: 10.1093/qjmed/hcaa196
    Matched MeSH terms: Humans
  7. Khalil A, Rahimi A, Luthfi A, Azizan MM, Satapathy SC, Hasikin K, et al.
    Front Public Health, 2021;9:752509.
    PMID: 34621723 DOI: 10.3389/fpubh.2021.752509
    A process that involves the registration of two brain Magnetic Resonance Imaging (MRI) acquisitions is proposed for the subtraction between previous and current images at two different follow-up (FU) time points. Brain tumours can be non-cancerous (benign) or cancerous (malignant). Treatment choices for these conditions rely on the type of brain tumour as well as its size and location. Brain cancer is a fast-spreading tumour that must be treated in time. MRI is commonly used in the detection of early signs of abnormality in the brain area because it provides clear details. Abnormalities include the presence of cysts, haematomas or tumour cells. A sequence of images can be used to detect the progression of such abnormalities. A previous study on conventional (CONV) visual reading reported low accuracy and speed in the early detection of abnormalities, specifically in brain images. It can affect the proper diagnosis and treatment of the patient. A digital subtraction technique that involves two images acquired at two interval time points and their subtraction for the detection of the progression of abnormalities in the brain image was proposed in this study. MRI datasets of five patients, including a series of brain images, were retrieved retrospectively in this study. All methods were carried out using the MATLAB programming platform. ROI volume and diameter for both regions were recorded to analyse progression details, location, shape variations and size alteration of tumours. This study promotes the use of digital subtraction techniques on brain MRIs to track any abnormality and achieve early diagnosis and accuracy whilst reducing reading time. Thus, improving the diagnostic information for physicians can enhance the treatment plan for patients.
    Matched MeSH terms: Humans
  8. Mat Ruzlin AN, Chen XW, Yunus RM, Samsudin EZ, Selamat MI, Ismail Z
    Front Public Health, 2021;9:747953.
    PMID: 34692630 DOI: 10.3389/fpubh.2021.747953
    Background: The COVID-19 pandemic has had monumental effects on the mental health of populations worldwide. Previous research indicated that programs and interventions using social networks can play a positive role in promoting mental health. Nevertheless, current evidence is largely derived from high-income regions, reflecting an urgent need for more studies in low- and middle-income settings. Objectives: This paper aims to (a) describe the potential value of a hybrid health carnival in promoting mental health and increasing access to screening services; (b) assess the level of community engagement with the digital platform. Methods: A mental health carnival was conducted with the theme of "Mind Your Mental Health" (Cakna Kesihatan Mental) in conjunction with the World Mental Health Day in Malaysia. This was a hybrid carnival that combined elements of face-to-face interactions and virtual learning. Free online therapy sessions were offered to high-risk groups identified during the screening process. Social media metrics were utilized to report the levels of community engagement and participants completed pre-and post-assessments to measure the program's impact on their knowledge. Results: The carnival was attended by 515 participants (78.8% virtual participants). Social media metrics reported more than 5,585 reaches on Facebook for all the activities held throughout the event. Results from pre-and post-assessments showed significant improvement in the mean knowledge scores (p < 0.05). Conclusion: This digital approach will continue to evolve by releasing new features and tools as a new frontier for high-risk populations and all individuals seeking mental health support and treatment.
    Matched MeSH terms: Humans
  9. Kamal AA, Zulkifli AF
    Movement Health & Exercise, 2019;8(1):145-156.
    MyJurnal
    Nowadays, people have realized that physical activity plays a critical role in determining the health and wellness of an individual. This is proven by the extensive research on this area, which indicates that people have started to emphasize this matter. In addition, it is also well known that motivation is one of the main factors that determine whether people will participate in performing physical activity or not. Both extrinsic and intrinsic motivators play a major role in determining levels of physical activity. Therefore, this study is made to investigate the relationship between extrinsic motivation and physical activity level. The researcher randomly selected 195 students from SMK Alam Megah 2, Seksyen 28, Shah Alam, Selangor as respondents for this study. The method of this study includes a questionnaire adapted from International Physical Activity Questionnaire (IPAQ) and Exercise Motivation Inventory (EMI), which was edited to fulfil the requirements of this study. The results from this study show that there is a positive and significant relationship between extrinsic motivation and physical activity.
    Matched MeSH terms: Humans
  10. Murtaza G, Abdul Wahab AW, Raza G, Shuib L
    Comput Med Imaging Graph, 2021 04;89:101870.
    PMID: 33545489 DOI: 10.1016/j.compmedimag.2021.101870
    Worldwide, the burden of cancer is drastically increasing over the past few years. Among all types of cancers in women, breast cancer (BrC) is the main cause of unnatural deaths. For early diagnosis, histopathology (Hp) imaging is a gold standard for positive and detailed (at tissue level) diagnosis of breast tumor (BrT) compared to mammogram images. A large number of studies used BrT Hp images to solve binary or multiclassification problems using high computational resources. However, classification models' performance may be compromised due to the high correlation among various types of BrT in Hp images, which raises the misclassification rate. Thus, this paper aims to develop a tree-based BrT multiclassification model via deep learning (DL) to extract discriminative features to solve the multiclassification problem with better performance using less computational resources. The main contributions of this work are to create an ensemble, tree-based DL model that is pre-trained on the BreakHis dataset, and implementation of a misclassification reduction algorithm. The ensemble, tree-based DL model, extracts discriminative BrT features from Hp images. The target dataset (i.e., Bioimaging challenge 2015 breast histology) is small in size; thus, to avoid overfitting of the proposed model, pretraining is performed on the BreakHis dataset. Whereas, misclassification reduction algorithm is implemented to enhance the performance of the classification model. The experimental results show that the proposed model outperformed the existing state-of-the-art baseline studies. The achieved classification accuracy is ranging from 87.50 % to 100 % for four subtypes of BrT. Thus, the proposed model can assist doctors as the second opinion in any healthcare centre.
    Matched MeSH terms: Humans
  11. Idris IB, Azit NA, Abdul Ghani SR, Syed Nor SF, Mohammed Nawi A
    Ind Health, 2021 Aug 17;59(3):146-160.
    PMID: 33551443 DOI: 10.2486/indhealth.2020-0204
    The increasing involvement of women in the paid-labor market has led to multifactorial exposure towards the development of noncommunicable diseases (NCDs). This review aims to identify the prevalence of NCDs and the associated risk factors among working women. A systematic review was performed using PubMed and Scopus databases. Twelve articles published between 2015 and 2019 satisfied the inclusion and exclusion criteria and were selected for qualitative synthesis. Among working women, the prevalence of NCDs was as follows: coronary heart disease, 0.3%-5.9%; metabolic syndrome, 52.0%; diabetes mellitus, 8.9%-16.0%; hypertension, 16.6%-66.4%; non-skin cancer, 3.7%. The prevalence of NCD risk factors was as follows: overweight/obesity, 33.8%-77.0%; low physical activity, 51.0%; unhealthy diet, 44.9%-69.9%; dyslipidemia, 27.8%-44.0%. The factors associated with NCDs were long working hours, double work burden, and stress. NCD is an important burden of working women that will lead to reduced work quality and affect family well-being. Disease prevention approaches, such as the intervention of common workplace risk factors and specific work schedule design, are among the strategies for improving the situation.
    Matched MeSH terms: Humans
  12. Leung AKC, Barankin B, Leong KF
    Curr Pediatr Rev, 2020;16(4):265-276.
    PMID: 32384035 DOI: 10.2174/1573396316666200508104708
    BACKGROUND: Henoch-Schönlein purpura (HSP) is an IgA-mediated systemic smallvessel vasculitis with a predilection for the skin, gastrointestinal tract, joints, and kidneys. It is the most common form of systemic vasculitis in children.

    OBJECTIVE: The study aimed to familiarize physicians with the etiopathogenesis, clinical manifestations, evaluation, and management of children with Henoch-Schönlein purpura.

    METHODS: A PubMed search was conducted in January 2020 in Clinical Queries using the key terms "Henoch-Schönlein purpura" OR "IgA vasculitis" OR "anaphylactoid purpura". The search strategy included meta-analyses, randomized controlled trials, clinical trials, observational studies, and reviews published within the past 10 years. Only papers published in the English literature were included in this review. This paper is based on, but not limited to, the search results.

    RESULTS: Globally, the incidence of HSP is 10 to 20 cases per 100, 000 children per year. Approximately 90% of cases occur in children between 2 and 10 years of age, with a peak incidence at 4 to 7 years. The diagnosis should be based on the finding of palpable purpura in the presence of at least one of the following criteria, namely, diffuse abdominal pain, arthritis or arthralgia, renal involvement (hematuria and/or proteinuria), and a biopsy showing predominant IgA deposition. Most cases are self-limited. The average duration of the disease is 4 weeks. Long-term complications are rare and include persistent hypertension and end-stage kidney disease. Therapy consists of general and supportive measures as well as treatment of the sequelae of the vasculitis. Current evidence does not support the universal treatment of HSP patients with corticosteroids. Oral corticosteroids may be considered for HSP patients with severe gastrointestinal pain and gastrointestinal hemorrhage.

    CONCLUSION: Most cases of HSP have an excellent outcome, with renal involvement being the most important prognostic factor in determining morbidity and mortality. Unfortunately, early steroid treatment does not reduce the incidence and severity of nephropathy in children with HSP. In HSP children who have severe nephritis or renal involvement with proteinuria of greater than 3 months, an angiotensin-converting enzyme inhibitor or angiotensin receptor blocker should be considered in addition to corticosteroids to prevent and/or limit secondary glomerular injury.

    Matched MeSH terms: Humans
  13. Md-Lasim A, Mohd-Taib FS, Abdul-Halim M, Mohd-Ngesom AM, Nathan S, Md-Nor S
    PMID: 34502012 DOI: 10.3390/ijerph18179411
    Pathogenic Leptospira is the causative agent of leptospirosis, an emerging zoonotic disease affecting animals and humans worldwide. The risk of host infection following interaction with environmental sources depends on the ability of Leptospira to persist, survive, and infect the new host to continue the transmission chain. Leptospira may coexist with other pathogens, thus providing a suitable condition for the development of other pathogens, resulting in multi-pathogen infection in humans. Therefore, it is important to better understand the dynamics of transmission by these pathogens. We conducted Boolean searches of several databases, including Google Scholar, PubMed, SciELO, and ScienceDirect, to identify relevant published data on Leptospira and coinfection with other pathogenic bacteria. We review the role of the host-microbiota in determining the synanthropic interaction of Leptospira sp. with other bacteria, thus creating a suitable condition for the leptospira to survive and persist successfully. We also discuss the biotic and abiotic factors that amplify the viability of Leptospira in the environment. The coinfection of leptospira with pathogenic bacteria has rarely been reported, potentially contributing to a lack of awareness. Therefore, the occurrence of leptospirosis coinfection may complicate diagnosis, long-lasting examination, and mistreatment that could lead to mortality. Identifying the presence of leptospirosis with other bacteria through metagenomic analysis could reveal possible coinfection. In conclusion, the occurrence of leptospirosis with other diseases should be of concern and may depend on the success of the transmission and severity of individual infections. Medical practitioners may misdiagnose the presence of multiple infections and should be made aware of and receive adequate training on appropriate treatment for leptospirosis patients. Physicians could undertake a more targeted approach for leptospirosis diagnosis by considering other symptoms caused by the coinfected bacteria; thus, more specific treatment could be given.
    Matched MeSH terms: Humans
  14. Rajhans V, Mohammed CA, Ve RS, Prabhu A
    Educ Health (Abingdon), 2021 7 3;34(1):22-28.
    PMID: 34213440 DOI: 10.4103/efh.EfH_69_20
    Background: Current trends in health professions education are aligned to meet the needs of the millennial learner. The aim of this study was to identify learners' perceptions of an ongoing journal club (JC) activity in the optometry curriculum and evaluate the utility and efficiency of this method in promoting student learning.

    Methods: A qualitative approach with a phenomenological research design was adopted. The perceptions of undergraduate and postgraduate optometry students about JCs were captured using focus group discussions. A narrative thematic analysis was done using the verbatim transcripts and moderator's notes. Results are reported using "consolidated criteria for reporting qualitative research" guidelines.

    Results: A total of 33 optometry students participated in the study. Data analysis revealed three major themes related to (i) The ongoing practice of JC, (ii) student perceptions of JC and its relevance in facilitating student learning, and (iii) suggestions for modification of JC for achieving optimal educational outcomes.

    Discussion: Student feedback indicates that an instructional redesigning of JC is necessary, considering the characteristics and expectations of the current generation of learners and the rapid strides made in the field of educational technology. The recommendations provided are likely to resurrect an age-old approach that still has educational relevance if blended with collaborative learning formats and appropriate technology.

    Matched MeSH terms: Humans
  15. Ayinla AY, Othman WAM, Rabiu M
    Acta Biotheor, 2021 Sep;69(3):225-255.
    PMID: 33877474 DOI: 10.1007/s10441-020-09406-8
    Tuberculosis has continued to retain its title as "the captain among these men of death". This is evident as it is the leading cause of death globally from a single infectious agent. TB as it is fondly called has become a major threat to the achievement of the sustainable development goals (SDG) and hence require inputs from different research disciplines. This work presents a mathematical model of tuberculosis. A compartmental model of seven classes was used in the model formulation comprising of the susceptible S, vaccinated V, exposed E, undiagnosed infectious I1, diagnosed infectious I2, treated T and recovered R. The stability analysis of the model was established as well as the condition for the model to undergo backward bifurcation. With the existence of backward bifurcation, keeping the basic reproduction number less than unity [Formula: see text] is no more sufficient to keep TB out of the community. Hence, it is shown by the analysis that vaccination program, diagnosis and treatment helps to control the TB dynamics. In furtherance to that, it is shown that preference should be given to diagnosis over treatment as diagnosis precedes treatment. It is as well shown that at lower vaccination rate (0-20%), TB would still be endemic in the population. As such, high vaccination rate is required to send TB out of the community.
    Matched MeSH terms: Humans
  16. Mehta M, Paudel KR, Shukla SD, Allam VSRR, Kannaujiya VK, Panth N, et al.
    J Control Release, 2021 09 10;337:629-644.
    PMID: 34375688 DOI: 10.1016/j.jconrel.2021.08.010
    Nuclear factor κB (NFκB) is a unique protein complex that plays a major role in lung inflammation and respiratory dysfunction. The NFκB signaling pathway, therefore becomes an avenue for the development of potential pharmacological interventions, especially in situations where chronic inflammation is often constitutively active and plays a key role in the pathogenesis and progression of the disease. NFκB decoy oligodeoxynucleotides (ODNs) are double-stranded and carry NFκB binding sequences. They prevent the formation of NFκB-mediated inflammatory cytokines and thus have been employed in the treatment of a variety of chronic inflammatory diseases. However, the systemic administration of naked decoy ODNs restricts their therapeutic effectiveness because of their poor pharmacokinetic profile, instability, degradation by cellular enzymes and their low cellular uptake. Both structural modification and nanotechnology have shown promising results in enhancing the pharmacokinetic profiles of potent therapeutic substances and have also shown great potential in the treatment of respiratory diseases such as asthma, chronic obstructive pulmonary disease and cystic fibrosis. In this review, we examine the contribution of NFκB activation in respiratory diseases and recent advancements in the therapeutic use of decoy ODNs. In addition, we also highlight the limitations and challenges in use of decoy ODNs as therapeutic molecules, cellular uptake of decoy ODNs, and the current need for novel delivery systems to provide efficient delivery of decoy ODNs. Furthermore, this review provides a common platform for discussion on the existence of decoy ODNs, as well as outlining perspectives on the latest generation of delivery systems that encapsulate decoy ODNs and target NFκB in respiratory diseases.
    Matched MeSH terms: Humans
  17. Saeed AQ, Sheikh Abdullah SNH, Che-Hamzah J, Abdul Ghani AT
    J Med Internet Res, 2021 09 21;23(9):e27414.
    PMID: 34236992 DOI: 10.2196/27414
    BACKGROUND: Glaucoma leads to irreversible blindness. Globally, it is the second most common retinal disease that leads to blindness, slightly less common than cataracts. Therefore, there is a great need to avoid the silent growth of this disease using recently developed generative adversarial networks (GANs).

    OBJECTIVE: This paper aims to introduce a GAN technology for the diagnosis of eye disorders, particularly glaucoma. This paper illustrates deep adversarial learning as a potential diagnostic tool and the challenges involved in its implementation. This study describes and analyzes many of the pitfalls and problems that researchers will need to overcome to implement this kind of technology.

    METHODS: To organize this review comprehensively, articles and reviews were collected using the following keywords: ("Glaucoma," "optic disc," "blood vessels") and ("receptive field," "loss function," "GAN," "Generative Adversarial Network," "Deep learning," "CNN," "convolutional neural network" OR encoder). The records were identified from 5 highly reputed databases: IEEE Xplore, Web of Science, Scopus, ScienceDirect, and PubMed. These libraries broadly cover the technical and medical literature. Publications within the last 5 years, specifically 2015-2020, were included because the target GAN technique was invented only in 2014 and the publishing date of the collected papers was not earlier than 2016. Duplicate records were removed, and irrelevant titles and abstracts were excluded. In addition, we excluded papers that used optical coherence tomography and visual field images, except for those with 2D images. A large-scale systematic analysis was performed, and then a summarized taxonomy was generated. Furthermore, the results of the collected articles were summarized and a visual representation of the results was presented on a T-shaped matrix diagram. This study was conducted between March 2020 and November 2020.

    RESULTS: We found 59 articles after conducting a comprehensive survey of the literature. Among the 59 articles, 30 present actual attempts to synthesize images and provide accurate segmentation/classification using single/multiple landmarks or share certain experiences. The other 29 articles discuss the recent advances in GANs, do practical experiments, and contain analytical studies of retinal disease.

    CONCLUSIONS: Recent deep learning techniques, namely GANs, have shown encouraging performance in retinal disease detection. Although this methodology involves an extensive computing budget and optimization process, it saturates the greedy nature of deep learning techniques by synthesizing images and solves major medical issues. This paper contributes to this research field by offering a thorough analysis of existing works, highlighting current limitations, and suggesting alternatives to support other researchers and participants in further improving and strengthening future work. Finally, new directions for this research have been identified.

    Matched MeSH terms: Humans
  18. Gharaei N, Ismail W, Grosan C, Hendradi R
    Artif Intell Med, 2021 10;120:102151.
    PMID: 34629147 DOI: 10.1016/j.artmed.2021.102151
    Tele-rehabilitation is an alternative to the conventional rehabilitation service that helps patients in remote areas to access a service that is practical in terms of logistics and cost, in a controlled environment. It includes the usage of mobile phones or other wireless devices that are applied to rehabilitation exercises. Such applications or software include exercises in the form of virtual games, treatment monitoring based on the rehabilitation progress and data analysis. However, nowadays, physiotherapists use a default profiling setting for patients carrying out rehabilitation, due to lack of information. Medical Interactive Rehabilitation Assistant (MIRA) is a computer-based (virtual reality) rehabilitation platform. The profile setting includes: a level of difficulty, percentage of tolerance and maximum range. To the best of our knowledge, there is a lack of optimization in the parameter values setting of MIRA exergames that could enhance patients' performance. Generally, non-optimal profile setting leads to reduced effectiveness. Therefore, this study aims to develop a method that optimizes the profile setting of each patient according to the estimated (desired) optimal results. The proposed method is developed using unsupervised and supervised machine learning techniques. We use Self-Organizing Map (SOM) to cluster patient records into several distinct clusters. K-fold cross validation is applied to construct the prediction models. Classification And Regression Tree (CART) is utilized to predict the patient's optimal input setting for playing the MIRA games. The combination of these techniques seems to improve the efficiency of the standard (default) way in predicting the optimal settings for exergames. To evaluate the proposed method, we conduct an experiment with data collected from a rehabilitation center. We use three metrics to quantify the quality of the results: R-squared (R2), Mean Absolute Error (MAE) and Root Mean Square Error (RMSE). The results of experimental analysis demonstrate that the proposed method is effective in predicting the adequate parameter setting in MIRA platform. The method has potential to be implemented as an intelligent system for MIRA prediction in healthcare. Moreover, the method could be extended to similar platforms for which data is available to train our method on.
    Matched MeSH terms: Humans
  19. Abu MA, Tajuddin SA, Abdul Karim AK, Ahmad MF, Mohd Razi ZR, Omar MH
    Minerva Ginecol, 2020 10;72(5):351-354.
    PMID: 32720800 DOI: 10.23736/S0026-4784.20.04573-6
    Matched MeSH terms: Humans
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