Clinical eHealth最新文献

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Development of digital intervention through a mobile phone application as an adjunctive treatment for bipolar disorder: MyBee project 通过移动电话应用程序开发数字干预作为双相情感障碍的辅助治疗:MyBee项目
Clinical eHealth Pub Date : 2022-12-01 DOI: 10.1016/j.ceh.2022.09.001
Caroline Encinas Audibert , Adna de Moura Fereli Reis , Robson Zazula , Regina Célia Bueno Rezende Machado , Suzana Maria Menezes Guariente , Sandra Odebrecht Vargas Nunes
{"title":"Development of digital intervention through a mobile phone application as an adjunctive treatment for bipolar disorder: MyBee project","authors":"Caroline Encinas Audibert ,&nbsp;Adna de Moura Fereli Reis ,&nbsp;Robson Zazula ,&nbsp;Regina Célia Bueno Rezende Machado ,&nbsp;Suzana Maria Menezes Guariente ,&nbsp;Sandra Odebrecht Vargas Nunes","doi":"10.1016/j.ceh.2022.09.001","DOIUrl":"https://doi.org/10.1016/j.ceh.2022.09.001","url":null,"abstract":"<div><p>Bipolar disorder (BD) is a complex and severe mental illness with high mortality and relapse rates. Psychoeducational interventions based on scientific evidence could increase treatment adherence rates through a better comprehension of the illness. The aim of this study is to investigate the efficacy of a digital intervention using a mobile phone application as adjunctive treatment for BD. The study has been conducted since March 2019 and is divided in three phases: (1) mobile application development process and assessment, (2) pilot trial, and (3) evaluation and controlled trial. During the first phase <em>MyBee</em> app was developed with the following axes: general information about BD and its course, BD comorbidities and available treatments, lifestyle, sleep quality, diet, suicide and stigma, stress management, and relaxation exercises based on mindfulness techniques. The second phase was the 12-week long pilot trial, which used a quasi-experimental design and aimed to evaluate both the content of the digital intervention and the functionality of the <em>MyBee</em> app. Following, the controlled trial was conducted to compare the digital intervention through a mobile phone application as adjunctive treatment for BD, with a control group without intervention over a period of 12 weeks. Online-based strategies through mobile applications have been an important strategy to monitor symptoms, offer self-management, improve treatment adherence, and prevent relapse among BD patients.</p></div>","PeriodicalId":100268,"journal":{"name":"Clinical eHealth","volume":"5 ","pages":"Pages 72-78"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S258891412200020X/pdfft?md5=77537fc1d819f42d2fcf97c5db46ad27&pid=1-s2.0-S258891412200020X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90015473","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}
引用次数: 0
Artificial intelligence assisted discrimination between pulmonary tuberculous nodules and solid lung cancer nodules 人工智能辅助鉴别肺结核结节与实性肺癌结节
Clinical eHealth Pub Date : 2022-12-01 DOI: 10.1016/j.ceh.2022.12.001
Shihan Zeng , Junhao Mu , Haiyun Dai , Mingyu Peng, Weiyi Li, Min Ao, Jing Huang, Li Yang
{"title":"Artificial intelligence assisted discrimination between pulmonary tuberculous nodules and solid lung cancer nodules","authors":"Shihan Zeng ,&nbsp;Junhao Mu ,&nbsp;Haiyun Dai ,&nbsp;Mingyu Peng,&nbsp;Weiyi Li,&nbsp;Min Ao,&nbsp;Jing Huang,&nbsp;Li Yang","doi":"10.1016/j.ceh.2022.12.001","DOIUrl":"10.1016/j.ceh.2022.12.001","url":null,"abstract":"<div><p>The differential diagnosis between pulmonary tuberculous nodules and solid lung cancer nodules is difficult and easy to be misdiagnosed in clinic. The data of clinic and image features of Chest CT with 70 cases of non-calcified pulmonary tuberculous nodules and 198 cases of solid lung cancer nodules confirmed by pathology in the Department of Thoracic Surgery or Respiratory and Critical Care Medicine, the First Affiliated Hospital of Chongqing Medical University from January to September 2020 were collected retrospectively. The characteristics of clinical and chest CT were compared between pulmonary tuberculous nodules and solid lung cancer nodules. The sensitivity, specificity, accuracy and negative predictive value in the two groups were compared between Artificial Intelligence assisted diagnosis system and manual image reading. The results found that the mean age, past tumor history, family history of tumor, CT image features of nodules includes mean diameter, short burr, blood vessel crossing in the pulmonary tuberculous nodules group were lower than those in the solid lung cancer group (p &lt; 0.05). In 35 cases of pulmonary tuberculous nodules group and 63 cases of solid lung cancer nodules group with Dicom format thin-slice chest CT, the sensitivity of AI-assisted diagnosis was 98.98 %. The diagnosis specificity, accuracy and negative predictive value in the AI group (80.61 %, 92.06 %, 60.00 %) were much higher than these in the intermediate respiratory physicians (62.24 %, 76.19 %, 37.14 %, p = 0.004, 0.015, 0.044) respectively, and there was no significant difference between AI and senior radiologists. There are many similarities in clinical and CT image features between pulmonary tuberculous nodules and solid lung cancer nodules. The ability of AI-assisted diagnosis system is better than that of intermediate physicians, reaching the diagnostic level of senior physicians, which is conducive to homogenization and improvement of the differential diagnosis ability of physicians.</p></div>","PeriodicalId":100268,"journal":{"name":"Clinical eHealth","volume":"5 ","pages":"Pages 100-105"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2588914122000259/pdfft?md5=c6f5c68a0e16cefde93f2811cd911b66&pid=1-s2.0-S2588914122000259-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90042015","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}
引用次数: 1
MIoT integrates health, MM benefits humans 工联网融合健康,MM造福人类
Clinical eHealth Pub Date : 2022-12-01 DOI: 10.1016/j.ceh.2022.03.001
Yeting Lu , Dawei Yang , Yuping Yang , Chunxue Bai
{"title":"MIoT integrates health, MM benefits humans","authors":"Yeting Lu ,&nbsp;Dawei Yang ,&nbsp;Yuping Yang ,&nbsp;Chunxue Bai","doi":"10.1016/j.ceh.2022.03.001","DOIUrl":"https://doi.org/10.1016/j.ceh.2022.03.001","url":null,"abstract":"","PeriodicalId":100268,"journal":{"name":"Clinical eHealth","volume":"5 ","pages":"Pages 17-18"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2588914122000107/pdfft?md5=9e33478b05b9526e0f8989edca662556&pid=1-s2.0-S2588914122000107-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91764415","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}
引用次数: 5
The metaverse in current digital medicine 当前数字医学中的虚拟世界
Clinical eHealth Pub Date : 2022-12-01 DOI: 10.1016/j.ceh.2022.07.002
Mengting Sun , Linshan Xie , Yang Liu , Kecheng Li , Bin Jiang , Yeting Lu , Yuping Yang , Hai Yu , Yuanlin Song , Chunxue Bai , Dawei Yang
{"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}
引用次数: 29
Chinese Expert Consensus on the application of the Internet of Things as Assistive Technology for the Diagnosis and Treatment of Acute Asthma Exacerbations 《应用物联网辅助技术治疗急性哮喘加重》中国专家共识
Clinical eHealth Pub Date : 2022-12-01 DOI: 10.1016/j.ceh.2022.12.002
Xue-qin Wu, Zhenju Song, Fang-lei Liu, Chunxue Bai
{"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}
引用次数: 0
A study of viral respiratory tract infections based on new smart terminals 基于新型智能终端的病毒性呼吸道感染研究
Clinical eHealth Pub Date : 2022-12-01 DOI: 10.1016/j.ceh.2022.05.001
Linshan Xie , Man Huang , Wenye Geng , Haidong Kan , Jianwei Xuan , Yuanlin Song , Jinghong Li , Chunxue Bai , Dawei Yang
{"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}
引用次数: 0
Application of Internet of Things in Chronic Respiratory Disease Prevention, Diagnosis, Treatment and Management 物联网在慢性呼吸系统疾病预防、诊断、治疗和管理中的应用
Clinical eHealth Pub Date : 2022-12-01 DOI: 10.1016/j.ceh.2021.08.001
Dawei Yang , Kecheng Li , Danny Mingwei Chua , Yuanlin Song , Chunxue Bai , Charles A. Powell
{"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}
引用次数: 6
Welcome to the new era of metaverse in medicine 欢迎来到医学的超宇宙新时代
Clinical eHealth Pub Date : 2022-12-01 DOI: 10.1016/j.ceh.2022.06.001
Niels H. Chavannes , Chunxue Bai
{"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}
引用次数: 1
Stress and the impact of stressful events are lesser among raja yoga meditators – A cross sectional study during COVID-19 pandemic from India 拉贾瑜伽冥想者的压力和压力事件的影响较小——一项来自印度的2019冠状病毒病大流行期间的横断面研究
Clinical eHealth Pub Date : 2022-12-01 DOI: 10.1016/j.ceh.2022.07.001
Shobhika Madhu , Ramajayam Govindaraj , Prashant Kumar , Sushil Chandra
{"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}
引用次数: 0
Erratum regarding previously published articles 关于以前发表的文章的勘误
Clinical eHealth Pub Date : 2022-12-01 DOI: 10.1016/j.ceh.2022.11.001
{"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}
引用次数: 0
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