Technology and Health Care最新文献

A mobile hearing screening tool for Turkish: Validation and test-retest reliability of the digit-in-noise test. 土耳其语的移动听力筛选工具：噪声中数字测试的验证和重测可靠性。

IF 1.8 4区医学

Technology and Health Care Pub Date : 2025-10-09 DOI: 10.1177/09287329251384169

Ümit Can Çetinkaya, Elif Bayrak, Polen Kaya

{"title":"A mobile hearing screening tool for Turkish: Validation and test-retest reliability of the digit-in-noise test.","authors":"Ümit Can Çetinkaya, Elif Bayrak, Polen Kaya","doi":"10.1177/09287329251384169","DOIUrl":"https://doi.org/10.1177/09287329251384169","url":null,"abstract":"ObjectiveThe present study aims to establish normative data for the Turkish mobile digit-in-noise test. The main objectives are to provide a reliable hearing screening tool for clinical, educational, and research purposes and to investigate its relationship with socio-demographic factors.MethodsThe study included 353 participants with normal hearing, aged 12 to 60 years. The mobile Turkish Digit-in-Noise (T-DIN) test, developed for the Android operating system, was administered using a Samsung Galaxy S10 smartphone paired with the original earbuds. To assess the reliability of the mobile T-DIN test application, it was re-administered to 172 participants under similar test conditions after a 15-day interval.ResultsThe Spearman correlation analysis yielded a coefficient of 0.754, while the intraclass correlation coefficient was calculated as 0.431. Normalization values for the assay were set at a signal-to-noise ratio of -7.05 ± 0.84. A statistically significant difference in mobile T-DIN SNR values was observed based on the age of the participants.ConclusionThe mobile T-DIN test is a suitable tool for hearing screening in individuals aged 12-60 years and provides a practical and reliable method for assessing auditory function.","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":" ","pages":"9287329251384169"},"PeriodicalIF":1.8,"publicationDate":"2025-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145259394","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}

引用次数: 0

3D Modeling for environmental and public health risk assessment of the Miljacka river. Miljacka河环境和公共健康风险评估的三维建模。

IF 1.8 4区医学

Technology and Health Care Pub Date : 2025-09-29 DOI: 10.1177/09287329251375646

Madžida Hundur, Merima Smajlhodžić-Deljo, Faruk Bećirović, Naida Babić Jordamović, Lejla Gurbeta Pokvić

{"title":"3D Modeling for environmental and public health risk assessment of the Miljacka river.","authors":"Madžida Hundur, Merima Smajlhodžić-Deljo, Faruk Bećirović, Naida Babić Jordamović, Lejla Gurbeta Pokvić","doi":"10.1177/09287329251375646","DOIUrl":"https://doi.org/10.1177/09287329251375646","url":null,"abstract":"BackgroundWater quality is a critical component of environmental and public health, as polluted water bodies can lead to serious health outcomes. The Miljacka river, flowing through Sarajevo, has been significantly impacted by industrial and urban wastewater discharges.ObjectiveThis study aims to develop a 3D digital model of the Miljacka river, built on topographic and satellite data, to support improved pollution assessment and inform water quality management strategies.MethodA 3D model of the river was created using integrated hydrological, topographic and satellite data. Initial 2D schematics were developed in AutoCAD and visualizations were produced in SketchUp, Revit and Twinmotion to simulate river flow dynamics and pollutant dispersion. Areas of interest were identified to assess the spatial distribution of contaminants.ResultsThe model enabled the visualization of pollutant movement and the identification of potentially high-risk zones along the river's course. Analysis of the available data suggests possible impacts of pollution on public health, particularly in relation to chemical contaminants and microbial loads, although further studies are needed for a more precise assessment of health risks.ConclusionThis research highlights the importance of integrating advanced digital technologies in environmental health assessment.","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":" ","pages":"9287329251375646"},"PeriodicalIF":1.8,"publicationDate":"2025-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145193621","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}

引用次数: 0

Instagram videos provide limited information on complications and return to social life regarding total knee arthroplasty: A multilingual analysis. Instagram视频提供了关于全膝关节置换术并发症和重返社会生活的有限信息：一项多语言分析。

IF 1.8 4区医学

Technology and Health Care Pub Date : 2025-09-18 DOI: 10.1177/09287329251367431

Yavuz Sahbat, Mustafa Fatih Dasci, Aziz Emre Nokay, Alicia Maria Ramos Tellez, Luigi Zanna, Abdulaziz Hariri, Serkan Surucu, Mustafa Citak

{"title":"Instagram videos provide limited information on complications and return to social life regarding total knee arthroplasty: A multilingual analysis.","authors":"Yavuz Sahbat, Mustafa Fatih Dasci, Aziz Emre Nokay, Alicia Maria Ramos Tellez, Luigi Zanna, Abdulaziz Hariri, Serkan Surucu, Mustafa Citak","doi":"10.1177/09287329251367431","DOIUrl":"https://doi.org/10.1177/09287329251367431","url":null,"abstract":"IntroductionThe purpose of this study was to examine the content quality and potential shortcomings of arthroplasty training videos on Instagram.Materials and MethodsA search on Instagram was performed from November 1, 2023, to April 30, 2024. The hashtags Replacement, Total knee replacement and Knee arthroplasty were translated into 6 different languages and searched on Instagram by 6 observers who are native speakers of those languages. The videos were scored using the DISCERN score and Global Quality Score (GQS). The extent to which the videos addressed the processes about which patients need to be informed was also examined.ResultA total of 126 videos were analyzed in this study. The median DISCERN and GQS scores were 3.0 [1.0-5.0] and 3.0 [2.0-5.0], respectively. The most frequently mentioned subheading was arthroplasty procedure and prosthesis technology (74%), followed by treatment options (66%). The least mentioned subheading was complications (19%), followed by return to social life (44%).ConclusionsThe main finding of this study was that knee arthroplasty videos posted on Instagram were lacking in data. Video content largely describes surgical techniques but is insufficient to inform patients about postoperative processes. The video content quality was found to be moderately good according to both video quality scores, and these quality scores were moderately correlated with the mention of subheadings.","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":" ","pages":"9287329251367431"},"PeriodicalIF":1.8,"publicationDate":"2025-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145087905","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}

引用次数: 0

Predicting hypertension using PPG sensor data and demographic factors: A machine learning approach. 利用PPG传感器数据和人口统计学因素预测高血压：一种机器学习方法。

IF 1.8 4区医学

Technology and Health Care Pub Date : 2025-09-17 DOI: 10.1177/09287329251375640

Feng-Qin Liu, Yingxia Mo

引用次数: 0

Expression of concern: "Digital virtual reduction combined with individualized guide plate of lateral tibial condyle osteotomy for the treatment of tibial plateau fracture". 关注表达：“数字虚拟复位联合个体化胫骨外侧髁截骨引导钢板治疗胫骨平台骨折”。

IF 1.8 4区医学

Technology and Health Care Pub Date : 2025-09-03 DOI: 10.1177/09287329251374381

引用次数: 0

Early brain stroke detection using multilayer perceptron of convolutional neural network-based residual network. 基于卷积神经网络残差网络的多层感知器早期脑卒中检测。

IF 1.8 4区医学

Technology and Health Care Pub Date : 2025-09-01 Epub Date: 2025-01-31 DOI: 10.1177/09287329241308465

Usha Sree, Praveen Krishna, Dr Ch Mallikarjuna Rao, Lalitha Parameshwari

{"title":"Early brain stroke detection using multilayer perceptron of convolutional neural network-based residual network.","authors":"Usha Sree, Praveen Krishna, Dr Ch Mallikarjuna Rao, Lalitha Parameshwari","doi":"10.1177/09287329241308465","DOIUrl":"10.1177/09287329241308465","url":null,"abstract":"Background: Stroke, medically known as the brain attack, refers to the stoppage or stoppage of blood from flowing into a particular region of the brain, or even from the breaking of a vessel, causing injury to and death of areas of the brain. It presents a medical emergency, with the potential of severe long-term neurological impairment, disability, and even death; thus, urgent detection and treatment are needed.Objective: The study aims to develop a novel Multilayer Perceptron of Convolutional Neural Network-based Residual Network (MLPCNNbRN) for early brain stroke detection, focusing on improving the accuracy and reliability of detecting subtle stroke patterns in medical images.Methods: The MLPCNNbRN provided resented in the context of residual connections within an architecture designed for deep network training in medical images. This allowed the overall model to learn complex relations very effectively. The system was implemented in the Python framework. Its performance was compared with other methods. The key metrics used in the evaluation were accuracy, precision, recall, and F-score.Results: The MLPCNNbRN model demonstrated superior performance compared to existing methods, achieving higher levels of accuracy in stroke detection. Specifically, the model improved overall accuracy, precision, recall, and F-score, showcasing its robustness in identifying subtle stroke patterns.Conclusion: The proposed MLPCNNbRN system enhances early brain stroke detection by extracting hierarchical features and residual network learning, offering a more accurate and reliable approach than previous methods. This system has the potential to aid medical professionals in timely diagnosis and treatment, ultimately improving patient outcomes.","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":" ","pages":"2069-2082"},"PeriodicalIF":1.8,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143460076","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}

引用次数: 0

Ultrasound guided stellate ganglion block for the treatment of tinnitus. 超声引导下的星状神经节阻滞治疗耳鸣。

IF 1.8 4区医学

Technology and Health Care Pub Date : 2025-09-01 Epub Date: 2025-03-28 DOI: 10.1177/09287329251324068

Xiaolan Qian, Liqing Zhao, Qiying Wang, Dingguo Liu, Gaigai Ma

{"title":"Ultrasound guided stellate ganglion block for the treatment of tinnitus.","authors":"Xiaolan Qian, Liqing Zhao, Qiying Wang, Dingguo Liu, Gaigai Ma","doi":"10.1177/09287329251324068","DOIUrl":"10.1177/09287329251324068","url":null,"abstract":"BackgroundTinnitus, a common auditory disorder, significantly impacts patient quality of life and lacks universally effective treatments. The integration of advanced imaging technology like ultrasound in therapeutic interventions offers new possibilities in healthcare.ObjectiveThis study evaluated the efficacy of ultrasound-guided stellate ganglion block as an innovative approach to managing tinnitus.MethodsEighty patients with tinnitus were randomly assigned to either a control group receiving standard drug therapy or an observation group treated with ultrasound-guided stellate ganglion block in addition to standard therapy. Key metrics, including clinical effectiveness rates, anxiety scores, and tinnitus disability index scores, were assessed pre- and post-treatment.ResultsPost-treatment outcomes revealed that the observation group exhibited significantly improved anxiety scores (38.74 ± 4.05 vs. 50.45 ± 4.86; P < 0.05) and tinnitus disability index scores (37.8 ± 17.56 vs. 50.4 ± 21.26; P < 0.05) compared to the control group. Additionally, the observation group achieved a 100% clinical efficacy rate, outperforming the control group's 84% (P < 0.05).ConclusionUltrasound-guided stellate ganglion block demonstrates superior efficacy in managing tinnitus compared to conventional drug therapy. This study underscores the potential of integrating advanced ultrasound technology into healthcare to optimize treatment outcomes for auditory disorders.","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":" ","pages":"2083-2089"},"PeriodicalIF":1.8,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143732709","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}

引用次数: 0

Deep learning-based decision support system for cervical cancer identification in liquid-based cytology pap smears. 基于深度学习的宫颈细胞学涂片宫颈癌识别决策支持系统。

IF 1.8 4区医学

Technology and Health Care Pub Date : 2025-09-01 Epub Date: 2025-04-30 DOI: 10.1177/09287329251330081

Ghada Atteia, Maali Alabdulhafith, Hanaa A Abdallah, Nagwan Abdel Samee, Walaa Alayed

{"title":"Deep learning-based decision support system for cervical cancer identification in liquid-based cytology pap smears.","authors":"Ghada Atteia, Maali Alabdulhafith, Hanaa A Abdallah, Nagwan Abdel Samee, Walaa Alayed","doi":"10.1177/09287329251330081","DOIUrl":"10.1177/09287329251330081","url":null,"abstract":"BackgroundCervical cancer is the fourth most common cause of women cancer deaths worldwide. The primary etiology of cervical cancer is the persistent infection of specific high-risk strains of the human papillomavirus. Liquid-based cytology is the established method for early detection of cervical cancer. The evaluation of cellular abnormalities at a microscopic level allows for the identification of malignant or precancerous features in liquid-based cytology pap smears. This technique is characterized by its time-consuming nature and susceptibility to both inter- and intra-observer variability. Hence, the utilization of Artificial Intelligence in computer-assisted diagnosis can reduce the duration needed for diagnosing this ailment, thereby eliminating delayed diagnosis and facilitating the implementation of an efficient treatment.ObjectiveThis research presents a new deep learning-based cervical cancer identification decision support system in liquid-based cytology smear images.MethodsThe proposed diagnosis support system incorporates a novel hybrid feature reduction and optimization module, which integrates a sparse Autoencoder with the Binary Harris Hawk metaheuristic optimization algorithm to select the most informative features from a supplemented feature set of the input images. The supplemented feature set is retrieved by three pretrained Convolutional Neural Networks. The module utilizes an improved feature set to conduct a Bayesian-optimized K Nearest Neighbors machine learning classification of cervical cancer in input Pap smears.ResultsThe introduced approach achieves a classification accuracy of 99.9% and demonstrates an improved ability to detect the stages of cervical cancer, with a sensitivity of 99.8%. In addition, the system has the ability to identify the lack of cervical cancer stages with a specificity rate of 99.9%.ConclusionThe proposed system outpaces recent deep learning-based cervical cancer identification systems.","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":" ","pages":"2194-2210"},"PeriodicalIF":1.8,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144002783","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}

引用次数: 0

Brain tumor detection using hybrid transfer learning and patch antenna-enhanced microwave imaging. 混合迁移学习和贴片天线增强微波成像的脑肿瘤检测。

IF 1.8 4区医学

Technology and Health Care Pub Date : 2025-09-01 Epub Date: 2025-04-10 DOI: 10.1177/09287329251325740

Deebu Usha Sudhakaran, Sreeja Thanka Swami Kanaka Bai

{"title":"Brain tumor detection using hybrid transfer learning and patch antenna-enhanced microwave imaging.","authors":"Deebu Usha Sudhakaran, Sreeja Thanka Swami Kanaka Bai","doi":"10.1177/09287329251325740","DOIUrl":"10.1177/09287329251325740","url":null,"abstract":"BackgroundBrain tumors pose a significant healthcare challenge, necessitating early detection and precise monitoring to ensure effective treatment.ObjectivesThe study proposes an innovative technique with the integration of hybrid transfer learning with improved microwave imaging. The integration of special feature extraction abilities of pre-trained deep learning methods along with the high-resolution imaging capabilities of the patch antenna.MethodsIt was primarily composed of two phases. The initial stage involves the development of a patch antenna and head phantom model, which are then subjected to SAR analysis to extract pertinent features from transmitted signals. In the second stage, an AI-based detection model that utilizes MobileNet V2 is implemented. The images acquired by the patch antenna system are fed into MobileNet V2, which extracts high-level features by employing depth-wise separable convolutions and inverted residual blocks. The fully connected layer is used to classify brain tumors in an effective manner by passing these extracted features.ResultsThe results of the simulation indicate that the model performs exceptionally well, with an accuracy of 98.44%, precision of 98.03%, recall of 99.00%, F1-score of 98.52%, and specificity of 97.82%.ConclusionThis method offers a promising solution for the non-invasive and real-time detection of brain tumors, taking advantage of the electromagnetic properties of brain tissue and the capabilities of AI to address the limitations of current diagnostic methods, such as MRI and CT scans.","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":" ","pages":"2090-2113"},"PeriodicalIF":1.8,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144046817","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}

引用次数: 0

Experience with a team-based gamification health app for behavior change adapted to people with diabetes: A pilot study. 基于团队的游戏化健康应用程序的经验，用于糖尿病患者的行为改变：一项试点研究。

IF 1.8 4区医学

Technology and Health Care Pub Date : 2025-09-01 Epub Date: 2025-04-30 DOI: 10.1177/09287329251332454

Satoshi Inagaki, Kenji Kato, Tomokazu Matsuda, Kozue Abe, Shogo Kurebayashi, Masatomo Mihara, Daisuke Azuma, Michinori Takabe, Yasuhisa Abe, Hisafumi Yasuda

{"title":"Experience with a team-based gamification health app for behavior change adapted to people with diabetes: A pilot study.","authors":"Satoshi Inagaki, Kenji Kato, Tomokazu Matsuda, Kozue Abe, Shogo Kurebayashi, Masatomo Mihara, Daisuke Azuma, Michinori Takabe, Yasuhisa Abe, Hisafumi Yasuda","doi":"10.1177/09287329251332454","DOIUrl":"10.1177/09287329251332454","url":null,"abstract":"BackgroundHealth apps offer promising support for people with diabetes; however, the retention rates are low. Team-based apps and gamification can increase engagement and contribute to sustained use.ObjectiveThis pilot study explored how a team-based gamification app can support diabetes self-care.MethodsIndividuals with diabetes were introduced to a team-based gamification app that encourages the development of new habits. After 6 weeks of use, participants completed a questionnaire on system satisfaction, ease of use, enjoyment, usefulness for self-care, and burden, using a five-point scale. Qualitative data were also collected.ResultsOf the 32 participants, 65% were satisfied, 81% found it useful for lifestyle management, and 71% found it useful for exercise. The team system and challenge-tracking features were the most useful. Participants stated that the app provided emotional support and motivated healthy habits through social comparison; however, they also reported confusion in aligning team and individual needs.ConclusionsThe team-based gamification health app provided emotional support by team members who shared the same goals and motivated healthy lifestyle habits through social comparison.","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":" ","pages":"2220-2231"},"PeriodicalIF":1.8,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144056245","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}

引用次数: 0