Technology and Health Care最新文献

{"title":"The role of 3D transesophageal echocardiography in native mitral valve endocarditis - a case report and review of the literature.","authors":"Zorica Mladenovic, Gordana Milic, Predrag Djuric, Zoran Jovic, Vesna Begovic, Edin Begic","doi":"10.1177/09287329241296813","DOIUrl":"https://doi.org/10.1177/09287329241296813","url":null,"abstract":"<p><p>The aim of this paper is to present a case of infective endocarditis (IE) caused by <i>Staphylococcus aureus (S. aureus),</i> focusing on diagnostic and therapeutic approaches. The paper highlights the importance of 2D transesophageal echocardiography (TOE) and discusses the capabilities and advances of appliance of the 3D TOE in patient evaluation, better understanding of the diagnosis, and timely treatment. The use of this advance echocardiographic modality allows clear visualization of complex and destructive tissue lesions, such as the perforation observed and presented in this case.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":" ","pages":"9287329241296813"},"PeriodicalIF":1.4,"publicationDate":"2025-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143460187","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"ADET MODEL: Real time autism detection via eye tracking model using retinal scan images.","authors":"Jesu Mariyan Beno Ranjana, Rajendran Muthukkumar","doi":"10.1177/09287329241301678","DOIUrl":"https://doi.org/10.1177/09287329241301678","url":null,"abstract":"<p><strong>Background: </strong>Deficits in concentration with social stimuli are more common in children affected by autism spectrum disorder (ASD). Developing visual attention is one of the most vital elements for detecting autism. Eye tracking technology is a potential method to identify an early autism biomarker based on children's abnormal visual patterns.</p><p><strong>Objective: </strong>Eye tracking retinal scan path images can be generated by eyeball movement during the time of watching the screen and capture the eye projection sequences, which helps to analyze the behavior of the children. The Shi-Tomasi corner detection methodology uses open CV to identify the corners of the eye gaze movement in the images.</p><p><strong>Methods: </strong>In the proposed ADET model, the corner detection-based vision transformer (CD-ViT) technique is utilized to diagnose autism at an early stage. Generally, the transformer model divides the input images into patches, which can be fed into the transformer encoder process. The vision transformer is fine-tuned to resolve binary classification issues once the features are extracted via remora optimization. Specifically, the vision transformer model acts as the cornerstone of the proposed work with the help of the corner detection technique. This study uses a dataset with 547 eye-tracking retinal scan path images for both autism and non-autistic children.</p><p><strong>Results: </strong>Experimental results show that the suggested ADET frameworkachieves a better classification accuracy of 38.31%, 23.71%, 13.01%, 1.56%, 18.26%, and 44.56% than RM3ASD, MLP, SVM, CNN, SVM, and our proposed ADET methods.</p><p><strong>Conclusions: </strong>This screening method strongly suggests that it be used to assist medical professionals in providing efficient and accurate autism detection.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":" ","pages":"9287329241301678"},"PeriodicalIF":1.4,"publicationDate":"2025-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143460409","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Diabetic foot ulcer classification assessment employing an improved machine learning algorithm.","authors":"Raj Kumar Gudivaka, Rajya Lakshmi Gudivaka, Basava Ramanjaneyulu Gudivaka, Dinesh Kumar Reddy Basani, Sri Harsha Grandhi, Faheem Khan","doi":"10.1177/09287329241296417","DOIUrl":"https://doi.org/10.1177/09287329241296417","url":null,"abstract":"<p><strong>Background: </strong>Diabetic foot ulcers (DFU) are a severe consequence of diabetes that, if left untreated, can lead to amputation, blindness, renal failure, and other serious complications. The high treatment expense and length of treatment for this therapeutic technique are both disadvantages. Despite the effectiveness of this strategy, a distant, cost-effective, and comfortable DFU diagnostic therapy is necessary.</p><p><strong>Objective: </strong>This study proposed the Advanced Machine Learning Practical Method for Diabetic Foot Ulcer Classification.</p><p><strong>Methods: </strong>This unique and cost-effective healthcare solution uses Practical Methodologies with the reinforcement learning algorithm for DFU imaging. The categorization was based on constant technological advancements, and the benefits of Machine Learning (ML) for use in DFU treatment are numerous, including enhanced clinical decision-making based on Ulcer classification and healing progress. The ML greatly impacted DFU data analysis, with categorization and risk assessment among the findings.</p><p><strong>Results: </strong>The machine-learning technique can potentially create a paradigm shift by providing a 92.5% classification accuracy evaluation in the diabetic foot Ulcer problem. According to Clustering Scenario Analysis of Diabetic Foot Ulcer, when compared to Mild To Moderate Localized Cellulitis (Cluster 1 produces classification efficiency from 71% to 88%), Moderate To Severe Cellulitis (Cluster 2 delivers classification efficiency from 85% to 97%), Moderate To Severe Cellulitis With Ischemia (Cluster 3 produces classification efficiency from 90% to 98%), and Life-Or Limb-Threatening Infection (Cluster 4), the results were promising (Cluster 4 makes classification efficiency from 93.5% to 98.2%). The efficiency of this is Cluster 78.45 percent higher than the existing procedure.</p><p><strong>Conclusions: </strong>The proposed Advanced Machine Learning Practical Method demonstrates significant improvements in DFU classification accuracy and efficiency, presenting a cost-effective and effective alternative to traditional diagnostic approaches.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":" ","pages":"9287329241296417"},"PeriodicalIF":1.4,"publicationDate":"2025-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143460074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analysis of clinical indicators and survival prediction in trauma patients.","authors":"Xuwei He, Yingxiao Huang, Danyi Zeng","doi":"10.1177/09287329241296284","DOIUrl":"https://doi.org/10.1177/09287329241296284","url":null,"abstract":"<p><strong>Background: </strong>Accurate prognostic assessment of critically ill trauma patients in emergency departments is crucial for early intervention and improving survival rates. This study investigates the relationship between blood parameters, disease severity, and patient outcomes.</p><p><strong>Objective: </strong>To explore the relationship between blood parameters and the severity and prognosis of critically ill trauma patients in an emergency trauma center. The goal is to facilitate early diagnosis, implement measures to improve survival rates, and enhance patient outcomes.</p><p><strong>Methods: </strong>This retrospective study analyzed the blood parameters of 569 critically ill trauma patients admitted to the trauma center from 2020 to August 2023. The analysis focused on examining the relationship between these parameters and the severity and prognosis of the patients.</p><p><strong>Results: </strong>Compared to the improved and non-recovered groups, the mortality group had longer times from injury to hospital admission, higher ISS and NEWS scores, lower GCS scores, more acidic blood gas analysis, electrolyte imbalances, and poorer liver and kidney function as well as coagulation indicators.</p><p><strong>Conclusion: </strong>Low pH, high PaCO2, high lactate, high potassium, high NLR, high D-Dimer, high ISS, and high NEWS are independent risk factors. Conversely, high PLT, albumin, and GCS scores are independent protective factors. These indicators can effectively predict the prognosis of trauma patients.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":" ","pages":"9287329241296284"},"PeriodicalIF":1.4,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143460454","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An immersive virtual reality serious game set for the clinical assessment of spatial attention impairments: Effects of avatars on perspective?","authors":"Khawla Ajana, Gauthier Everard, Thierry Lejeune, Martin Gareth Edwards","doi":"10.1177/09287329241296380","DOIUrl":"https://doi.org/10.1177/09287329241296380","url":null,"abstract":"<p><strong>Background: </strong>Hemineglect (HN) is a post-stroke condition, frequently defined as an impairment in finding spatial targets within an egocentric frame of reference, where the stimulus is coded relative to the self. However, the egocentric reference frame can change with the presence of another person. Immersive virtual reality (IVR) offers several advantages over paper-and-pencil tests typically used to assess HN, such as a realistic and controlled environment, standardised stimulus presentation, and sensitive response acquisition. We developed a new serious game in IVR to assess HN. Here we investigated (1) the feasibility and user experience of this serious game, and (2) the effect of the presence of an avatar on HN.</p><p><strong>Methods: </strong>We first tested a group of 61 control individuals (CI), followed by a group of post-stroke 11 individuals without HN (SI:HN-), 6 with HN (SI:HN+), and 17 resampled age matched group of control individuals (CI). All participants performed the \"Peach test\", which required them to find and respond to a target presented among distractors, either alone or in the presence of an avatar. We measured response time (RT) and omissions. The SI:HN- and SI:HN + groups also completed a paper-and-pencil test for HN and a user experience questionnaire.</p><p><strong>Results: </strong>The first analysis of results with CI showed no differences in responding to the target when in ipsi- compared to contra-lateral spaces, nor in peri- compared to extra-personal spaces. There were also no differences in responding to the target in the no-avatar condition relative to the two avatars conditions. In the second analysis, SI:HN + were slower than SI:HN- and CI. Although an interaction between group and Laterality was predicted, the results showed that there was no Laterality effect for any of the groups. An interaction between group and proximity, showed that both SI groups were slower in the extra- compared to peri-personal spaces. The user experience was globally positively rated by the SI.</p><p><strong>Conclusion: </strong>We developed a serious game in IVR for the assessment of HN. Although most our findings were inconclusive, the Peach test showed excellent user experience results.Trial registration http://www.clinicaltrials.gov ; Unique identifier: NCT04694833, Date of registration: 11/24/2020.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":" ","pages":"9287329241296380"},"PeriodicalIF":1.4,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143460332","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"DABiG: Breath pattern classification using the hybrid deep learning with optimal feature selection.","authors":"P Kaleeswari, R Ramalakshmi, T Arun Prasath, A Muthukumar, R Kottaimalai, M Thanga Raj","doi":"10.1177/09287329241303368","DOIUrl":"https://doi.org/10.1177/09287329241303368","url":null,"abstract":"<p><strong>Background: </strong>A person's breathing pattern can be a reflection of their emotional and physical well-being because it shows the frequency, intensity, and rhythm of their breathing.</p><p><strong>Objective: </strong>This research article presents a comprehensive approach to breathe pattern classification utilizing gyroscope and accelerometer readings obtained from individuals using two distinct sensors. The study encompasses the acquisition of six diverse breathing patterns, with a focus on data pre-processing through Min-Max normalization.</p><p><strong>Methods: </strong>To select essential features from the normalized data, an innovative optimization algorithm, Adaptive Chimp Optimization (AdCO), is introduced. AdCO integrates an adaptive weighting strategy into the conventional Chimp optimization algorithm, enhancing convergence rates and enabling global optimal feature selection. Furthermore, the article introduces the application of the selected features in breath pattern classification using a hybrid deep learning mechanism, DABiG. DABiG leverages the Bidirectional Gated Recurrent Unit (BiGRU), a neural network architecture capable of processing sequential data bi-directionally.</p><p><strong>Results: </strong>Spatial and temporal attention mechanisms are incorporated into DABiG to enhance its ability to focus on relevant spatial regions and time steps within the breath pattern data.</p><p><strong>Conclusion: </strong>Spatial attention assigns weights to spatial regions, while temporal attention assigns weights to time steps, improving feature extraction and classification accuracy.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":" ","pages":"9287329241303368"},"PeriodicalIF":1.4,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143460111","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A systematic meta-analysis of the prevalence of diabetic retinopathy.","authors":"Guang Li, Ledan Wang, Feifei Feng","doi":"10.1177/09287329241295877","DOIUrl":"https://doi.org/10.1177/09287329241295877","url":null,"abstract":"<p><strong>Background: </strong>Diabetic retinopathy (DR), the primary retinal vascular consequence of diabetes mellitus (DM) among people of working age worldwide, is the primary cause of vision impairment and blindness. Despite increasing understanding of the prevalence of DM as a significant public health concern in China, the world's most populous developing nation, there is much to discover about the epidemiology of DR.</p><p><strong>Objective: </strong>This work uses a systematic review and meta-analysis to determine the total prevalence of diabetic retinopathy (DR) in China.</p><p><strong>Methods: </strong>Using common keywords, we looked up published research on the prevalence of DR in diabetic patients using Google Scholar, PubMed, and Scopus from their founding until 2023. Using random effects models, pooled estimates of DR prevalence and the associated 95% confidence intervals (CI) were computed. Fifteen articles covering 4837 patients with different forms of diabetes were analyzed. The Egger tests refuted the publication bias assumption for the prevalence of DR (P = 0.825, P = 0.057, respectively). Significant heterogeneity was seen in the prevalence of DR (P < 0.01, I2 = 92% and τ2 = 0.0082), PDR (P < 0.01, I2 = 97% and τ2 = 0.0072), and NPDR (P < 0.01, I2 = 84% and τ2 = 0.0039), according to the results of I2 and τ2 statistics.</p><p><strong>Results: </strong>The combined prevalence of PDR was 24% (95% CI: 19-28), NPDR was 31% (95% CI: 27-35), and DR was 55% (95% CI: 63-71).</p><p><strong>Conclusions: </strong>In summary, DR's prevalence appears slightly higher than that of other studies, with a greater incidence of NPDR. This study emphasises the need for DR screening and treatment in individuals with diabetes.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":" ","pages":"9287329241295877"},"PeriodicalIF":1.4,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143460350","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Investigation of <i>Clostridium butyricum</i> on atopic dermatitis based on gut microbiota and TLR4/MyD88/ NF-κB signaling pathway.","authors":"Xiaojing Yang, Qian Zhao, Xing Wang, Yiming Zhang, Jingyue Ma, Yuanjun Liu, Huiping Wang","doi":"10.1177/09287329241301680","DOIUrl":"https://doi.org/10.1177/09287329241301680","url":null,"abstract":"<p><strong>Background: </strong>Probiotics, as common regulators of the gut microbiota, have been used in research to alleviate clinical symptoms of atopic dermatitis (AD).</p><p><strong>Objective: </strong>Our research team has previously identified a potential relieving effect of <i>Clostridium butyricum</i> on the treatment of AD, but the specific mechanism of how <i>Clostridium butyricum</i> alleviates AD has not yet been confirmed.</p><p><strong>Methods: </strong>In this study, we explored the relieving effect of <i>Clostridium butyricum</i> on AD through <i>in vivo</i> and <i>in vitro</i> experiments. AD mice induced by 2,4-dinitrofluorobenzene (DNFB) were orally administered with 1 × 10⁸ CFU of <i>Clostridium butyricum</i> for three consecutive weeks.</p><p><strong>Results: </strong>Oral administration of <i>Clostridium butyricum</i> reduced ear swelling, alleviated back skin lesions, decreased mast cell and inflammatory cell infiltration, and regulated the levels of inflammation-related cytokines. <i>Clostridium butyricum</i> activated the intestinal immune system through the TLR4/MyD88/NF-κB signaling pathway, suppressed the expression of inflammatory factors IL-10 and IL-13, and protected the damaged intestinal mucosa.</p><p><strong>Conclusion: </strong><i>Clostridium butyricum</i> administration improved the diversity and abundance of the gut microbiota, enhanced the functionality of the immune system, and protected the epidermal barrier.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":" ","pages":"9287329241301680"},"PeriodicalIF":1.4,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143460025","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Intelligent classification of lung cancer pathology images through comparative morphological feature learning.","authors":"Fangfang Peng, Saihong Li","doi":"10.1177/09287329241303371","DOIUrl":"https://doi.org/10.1177/09287329241303371","url":null,"abstract":"<p><strong>Background: </strong>The accurate classification of lung cancer pathology images is of paramount importance for both diagnostic and therapeutic purposes. However, the development of robust classification models is often hindered by the intricate cellular morphologies and the scarcity of labeled images, which is a critical bottleneck in the field.</p><p><strong>Objectives: </strong>The study is designed to incorporate unlabeled data into the training process, thereby enhancing the classification of lung cancer pathology images through the use of comparative learning techniques.</p><p><strong>Methods: </strong>A methodology is introduced wherein confidently classified unlabeled images are integrated with labeled ones, enriching the training dataset. This approach draws on principles of farthest and nearest neighbor contrastive learning to cultivate a more challenging learning environment and to augment the variability of contrastive samples. To effectively extract key cellular morphological features, an encoder based on the ResNet50 architecture, fortified with deformable and dynamic convolutional techniques, is utilized.</p><p><strong>Results: </strong>Demonstrated by experimental results, the proposed classification strategy achieves a significant improvement in the accuracy of lung cancer image classification, even under conditions characterized by a limited availability of labeled data, thus underscoring the robustness of the method.</p><p><strong>Conclusion: </strong>The integration of comparative learning with both labeled and unlabeled images, complemented by the application of advanced convolutional techniques, is shown to be a promising avenue for enhancing the classification of lung cancer pathology images. This research is presented as a practical solution to the urgent need for accurate and efficient diagnostic tools in the field of oncology.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":" ","pages":"9287329241303371"},"PeriodicalIF":1.4,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143460022","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Research on the realization path of open public health data in China.","authors":"Liyang Zhao","doi":"10.1177/09287329241310379","DOIUrl":"https://doi.org/10.1177/09287329241310379","url":null,"abstract":"<p><strong>Purpose/significance: </strong>Public health data is an important part of China's public data. It can help improve China's public data open system, realize the value that public health data should have, and achieve the goal of \"building a community of shared future for human health\" as soon as possible.</p><p><strong>Method/process: </strong>Using the topic mining model, the bibliographic information related to \"public health data openness\" in the CNKI and WOS is processed to find the influencing factors that affect the realization of public health data openness. Secondly, the mutual influence relationship between these factors is found, and using system dynamics, a causal relationship diagram and a system flow diagram are constructed to simulate and analyze the value realization model of China's public health data openness, and then the value realization path of China's public health data openness is summarized.</p><p><strong>Result: </strong>The causal relationship diagram mainly includes four types of circuits, and 43 equation designed models have been determined through multiple simulation simulations. At the 22nd month, the value of \"public health data\" began to gradually emerge. At the same time, the slope of the line between \"data security\" and \"timely response to data concerns\" is also rapidly increasing. In the fourth month, the value of \"public health data\" remained relatively low and stable.</p><p><strong>Conclusion: </strong>The realization path of China's public health data openness can be carried out from three aspects, namely, the \"safety standards\" on the supply side, the \"quality and quantity of citizens\" on the demand side, and the improvement of the relevant supervision mechanisms that connect the supply and demand sides, so as to effectively tap the potential value of China's public health data.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":" ","pages":"9287329241310379"},"PeriodicalIF":1.4,"publicationDate":"2025-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143460128","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}