Clinical eHealth最新文献

{"title":"The metaverse in current digital medicine","authors":"Mengting Sun ,&nbsp;Linshan Xie ,&nbsp;Yang Liu ,&nbsp;Kecheng Li ,&nbsp;Bin Jiang ,&nbsp;Yeting Lu ,&nbsp;Yuping Yang ,&nbsp;Hai Yu ,&nbsp;Yuanlin Song ,&nbsp;Chunxue Bai ,&nbsp;Dawei Yang","doi":"10.1016/j.ceh.2022.07.002","DOIUrl":"https://doi.org/10.1016/j.ceh.2022.07.002","url":null,"abstract":"<div><p>The metaverse has entered people's horizons through virtual reality, digital twinning, the Internet of Things, blockchain technology, etc. In the current healthcare system, the management of chronic diseases, such as chronic obstructive pulmonary disease (COPD) and obstructive sleep apnea-hypopnea syndrome (OSAHS), still faces challenges, such as uneven distribution of medical resources, and difficulty in follow-up, overburdening of specialists, and so on. However, metaverse medical platforms incorporating advanced AI technologies, such as industrial-scale digital twins, may address these issues. In this article, we discuss the application prospect of these technologies in digital medicine and the future of the medical metaverse.</p></div>","PeriodicalId":100268,"journal":{"name":"Clinical eHealth","volume":"5 ","pages":"Pages 52-57"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S258891412200017X/pdfft?md5=f6aeb9c7be991eca4ebdb28f9cbc016d&pid=1-s2.0-S258891412200017X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91764418","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Chinese Expert Consensus on the application of the Internet of Things as Assistive Technology for the Diagnosis and Treatment of Acute Asthma Exacerbations","authors":"Xue-qin Wu, Zhenju Song, Fang-lei Liu, Chunxue Bai","doi":"10.1016/j.ceh.2022.12.002","DOIUrl":"https://doi.org/10.1016/j.ceh.2022.12.002","url":null,"abstract":"","PeriodicalId":100268,"journal":{"name":"Clinical eHealth","volume":"25 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82585879","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Welcome to the new era of metaverse in medicine","authors":"Niels H. Chavannes ,&nbsp;Chunxue Bai","doi":"10.1016/j.ceh.2022.06.001","DOIUrl":"https://doi.org/10.1016/j.ceh.2022.06.001","url":null,"abstract":"","PeriodicalId":100268,"journal":{"name":"Clinical eHealth","volume":"5 ","pages":"Pages 37-38"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2588914122000144/pdfft?md5=2e44e5957aea3ac9d5506844f24e0764&pid=1-s2.0-S2588914122000144-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91680429","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Stress and the impact of stressful events are lesser among raja yoga meditators – A cross sectional study during COVID-19 pandemic from India","authors":"Shobhika Madhu ,&nbsp;Ramajayam Govindaraj ,&nbsp;Prashant Kumar ,&nbsp;Sushil Chandra","doi":"10.1016/j.ceh.2022.07.001","DOIUrl":"https://doi.org/10.1016/j.ceh.2022.07.001","url":null,"abstract":"<div><p>This research work presents a study on the relationship between stress &amp; related events with meditation practice and other socio-demographic variables during COVID 19 pandemic among healthy adults. In this cross-sectional survey design, healthy adults with and without practice of Raja yoga meditation completed stress, anxiety &amp; depression related questions (Depression Anxiety &amp; stress Scale, DASS 21) and its impact (Impact of Event Scale-Revised, IES-R) along with other socio-demographic including COVID infection or contact related information. Data was assessed for difference in DASS 21 scores and IES-R scores between Raja yoga meditators (n = 802) &amp; non-meditators (n = 357). An analysis was performed to study the predictors of DASS 21 and IES-R scores. We conclude that healthy Raja yoga meditation practitioners differ from non-meditators in terms of stress/anxiety/depression and its impact during COVID 19 pandemic and meditation practice predicts mental health better along with other sociodemographic variables.</p></div>","PeriodicalId":100268,"journal":{"name":"Clinical eHealth","volume":"5 ","pages":"Pages 58-66"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2588914122000168/pdfft?md5=e18348b6a4d991346d6b1fed53481288&pid=1-s2.0-S2588914122000168-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91680435","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Erratum regarding previously published articles","authors":"","doi":"10.1016/j.ceh.2022.11.001","DOIUrl":"https://doi.org/10.1016/j.ceh.2022.11.001","url":null,"abstract":"","PeriodicalId":100268,"journal":{"name":"Clinical eHealth","volume":"5 ","pages":"Page 125"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2588914122000223/pdfft?md5=deb36765ed84fcc273abe195e9aa79b0&pid=1-s2.0-S2588914122000223-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91680436","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A study of viral respiratory tract infections based on new smart terminals","authors":"Linshan Xie ,&nbsp;Man Huang ,&nbsp;Wenye Geng ,&nbsp;Haidong Kan ,&nbsp;Jianwei Xuan ,&nbsp;Yuanlin Song ,&nbsp;Jinghong Li ,&nbsp;Chunxue Bai ,&nbsp;Dawei Yang","doi":"10.1016/j.ceh.2022.05.001","DOIUrl":"https://doi.org/10.1016/j.ceh.2022.05.001","url":null,"abstract":"","PeriodicalId":100268,"journal":{"name":"Clinical eHealth","volume":"5 ","pages":"Pages 35-36"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2588914122000120/pdfft?md5=f54ab183030c662dc375d5c3d456f299&pid=1-s2.0-S2588914122000120-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91764414","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Application of Internet of Things in Chronic Respiratory Disease Prevention, Diagnosis, Treatment and Management","authors":"Dawei Yang ,&nbsp;Kecheng Li ,&nbsp;Danny Mingwei Chua ,&nbsp;Yuanlin Song ,&nbsp;Chunxue Bai ,&nbsp;Charles A. Powell","doi":"10.1016/j.ceh.2021.08.001","DOIUrl":"https://doi.org/10.1016/j.ceh.2021.08.001","url":null,"abstract":"<div><p>Chronic respiratory diseases are staggering health burdens affecting the lives of hundreds of millions of people around the world, contributing substantially to mortality and morbidity globally, including in the United States, China and Europe. Chronic obstructive pulmonary disease (COPD), lung cancer, pneumonia, interstitial lung disease (ILD) and asthma are among the leading diseases that urges the development of effective prevention, diagnosis, treatment and management of these diseases. Medical Internet-of-Things (MIOT) is fast becoming one of the most promising approaches to achieve this largely due to its cost effectiveness, non-invasive deployments and automation capabilities. Coupled together with strategically leveraging artificial intelligence, continuous data collection and real time monitoring and response systems, MIOT shows potential to be an effective and efficient solution.</p></div>","PeriodicalId":100268,"journal":{"name":"Clinical eHealth","volume":"5 ","pages":"Pages 10-16"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2588914122000028/pdfft?md5=22466b18db5d1aa958d89eddd00aca61&pid=1-s2.0-S2588914122000028-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91764419","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Diagnostic value of tumor associated autoantibody panel in early detection of lung cancer in Chinese population: Protocol for a prospective, observational, and multicenter clinical trial","authors":"Lin Tong ,&nbsp;Jiayuan Sun ,&nbsp;Xiaoju Zhang ,&nbsp;Di Ge ,&nbsp;Yimin Yang ,&nbsp;Jian Zhou ,&nbsp;Dong Wang ,&nbsp;Xin Hu ,&nbsp;Hao Liu ,&nbsp;Chunxue Bai","doi":"10.1016/j.ceh.2022.07.003","DOIUrl":"https://doi.org/10.1016/j.ceh.2022.07.003","url":null,"abstract":"<div><p>Lung cancer is the leading cause of cancer deaths. Although targeted therapies and programmed cell death protein 1 (PD-1) blockade have offered great advances, five-year survival rates remained low. Diagnosis of lung cancer at an earlier stage is the most efficient approach to improve survival. Tumor associated autoantibodies (TAAb) have been proven a promising innovative biomarker of lung cancer. We aimed to comprehensively evaluate the sensitivity, specificity, and accuracy of TAAbs in lung cancer detection, especially in early-stage patients, through a multicenter prospective observational clinical trial, and to screen out the novel combination of TAAbs with the best detection value for Chinese population. We aimed to enroll 1,400 participants from three clinical centers and divide into two cohorts. One cohort is participants with newly pathologically confirmed lung cancer as the case cohort, and the other is participants with benign nodules, matched healthy controls and other benign lung diseases as the control cohort. Cases and controls were randomly distributed into training or validation set. The level of 14 autoantibody candidates in their plasma were detected. A Monte-Carlo Simulated Annealing method was implemented to develop a composite panel of autoantibodies to distinguish between matched lung cancer cases and controls in the training set. The newly developed autoantibody panel was tested in the validation set for sensitivity, specificity and accuracy. This is the first and largest clinical trial designed to develop a novel autoantibody panel for lung cancer detection specifically for Chinese people. We performed a multicenter, prospective, observational study to find a novel panel of autoantibody markers that can help the diagnosis of lung cancer and the characterization of pulmonary nodules in Chinese population. The results may help to provide evidence-based recommendations to clinicians for lung cancer early detection and pulmonary nodule management. This study is registered in the <span>ClinicalTrials.gov</span><svg><path></path></svg> (NCT04216511).</p></div>","PeriodicalId":100268,"journal":{"name":"Clinical eHealth","volume":"5 ","pages":"Pages 67-71"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2588914122000181/pdfft?md5=318b40ac1071081a95c02c6659ff83ef&pid=1-s2.0-S2588914122000181-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91764412","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Introduction Special Issue Clinical ehealth ‘Disease monitoring and eHealth’","authors":"Esther Talboom-Kamp","doi":"10.1016/j.ceh.2021.09.001","DOIUrl":"https://doi.org/10.1016/j.ceh.2021.09.001","url":null,"abstract":"","PeriodicalId":100268,"journal":{"name":"Clinical eHealth","volume":"5 ","pages":"Pages 123-124"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2588914121000058/pdfft?md5=d6b06bf387511ee16e9fdc3696b94156&pid=1-s2.0-S2588914121000058-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90028201","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A 68-year-old female with pulmonary nodules harboring 341 circulating abnormal cells","authors":"Lu Wang, Dawei Yang, L. Tong, Yuanlin Song, Chunxue Bai","doi":"10.1016/j.ceh.2022.11.002","DOIUrl":"https://doi.org/10.1016/j.ceh.2022.11.002","url":null,"abstract":"","PeriodicalId":100268,"journal":{"name":"Clinical eHealth","volume":"16 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80481009","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}