Coronavirus disease 2019 (COVID-19) pandemic between 2020 to 2022 considerably impacted public health in China. Nail disorders account for the majority of pediatric dermatology. We investigated outpatient nail disease diagnosed at the dermatology clinic to determine the effect of the outbreak of the COVID-19 pandemic on these patients. We gathered information from the outpatient department of the Dermatology clinic at Children’s Hospital of Soochow University from January 2018 to December 2022. We distinguish between pre-epidemic (January 1, 2018 to December 31, 2019) and post-epidemic (January 1, 2020 to December 31, 2022). 8666 outpatients were included in the pre-epidemic group and 13,885 were included in the post-epidemic group. The percentage of outpatient nail disorders in the top 7 slightly differs from 2018 to 2022, while the first place is always Paronychia. The percentage of nail dystrophy, onycholysis, and onychomadesis decreased during the COVID-19 pandemic years and the percentage of paronychia, onychomycosis, longitudinal melanonychia, and psychosomatic nail disorders increased during the COVID-19 pandemic years. Although the impact of the COVID-19 pandemic on outpatients in the dermatology department was minimal, the spectrum of nail disorders was affected. A significant increase in infectious and psychosomatic nail disorders during the COVID-19 pandemic was an important finding in this study. Knowing the pattern of nail diseases may help hospitals to better prepare for future pandemics.
{"title":"A comparison of pediatric nail disorders between the years with and without the COVID-19 pandemic","authors":"Wenting Chen, Xinni Zhong, Qi Sun, Wei Li","doi":"10.1097/dm-2023-00022","DOIUrl":"https://doi.org/10.1097/dm-2023-00022","url":null,"abstract":"\u0000 \u0000 Coronavirus disease 2019 (COVID-19) pandemic between 2020 to 2022 considerably impacted public health in China. Nail disorders account for the majority of pediatric dermatology. We investigated outpatient nail disease diagnosed at the dermatology clinic to determine the effect of the outbreak of the COVID-19 pandemic on these patients.\u0000 \u0000 \u0000 \u0000 We gathered information from the outpatient department of the Dermatology clinic at Children’s Hospital of Soochow University from January 2018 to December 2022. We distinguish between pre-epidemic (January 1, 2018 to December 31, 2019) and post-epidemic (January 1, 2020 to December 31, 2022).\u0000 \u0000 \u0000 \u0000 8666 outpatients were included in the pre-epidemic group and 13,885 were included in the post-epidemic group. The percentage of outpatient nail disorders in the top 7 slightly differs from 2018 to 2022, while the first place is always Paronychia. The percentage of nail dystrophy, onycholysis, and onychomadesis decreased during the COVID-19 pandemic years and the percentage of paronychia, onychomycosis, longitudinal melanonychia, and psychosomatic nail disorders increased during the COVID-19 pandemic years.\u0000 \u0000 \u0000 \u0000 Although the impact of the COVID-19 pandemic on outpatients in the dermatology department was minimal, the spectrum of nail disorders was affected. A significant increase in infectious and psychosomatic nail disorders during the COVID-19 pandemic was an important finding in this study. Knowing the pattern of nail diseases may help hospitals to better prepare for future pandemics.\u0000","PeriodicalId":72818,"journal":{"name":"Digital medicine","volume":"16 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141801216","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}
The human brain atlas has recently become an essential tool for exploring the structure and function of the human brain. It serves as the primary platform for analyzing and processing both structural and functional brain information. The atlas plays a vital role in interpreting computational results, visualizing information, and processing data. Additionally, it is a crucial component of brain research programs. This review provides a brief history of brain atlas development and an overview of the current state-of-the-art in brain atlases. The applications, principles, and benefits of brain atlases are also discussed. Brain atlases can be classified into five types, including: (1) Brain atlases based on sectional specimens. (2) Visual brain atlases based on digital human technology. (3) Probabilistic brain atlases based on in vivo imaging data. (4) Brain atlases at the histological and gene level. (5) Brainnetome atlases. In this review, future directions for the development of brain atlas in developmental neuroscience and their potential clinical applications are proposed.
{"title":"The atlas for human brain research","authors":"Chengxin Liu, Yuan Yao, Yuchun Tang","doi":"10.1097/dm-2023-00026","DOIUrl":"https://doi.org/10.1097/dm-2023-00026","url":null,"abstract":"The human brain atlas has recently become an essential tool for exploring the structure and function of the human brain. It serves as the primary platform for analyzing and processing both structural and functional brain information. The atlas plays a vital role in interpreting computational results, visualizing information, and processing data. Additionally, it is a crucial component of brain research programs. This review provides a brief history of brain atlas development and an overview of the current state-of-the-art in brain atlases. The applications, principles, and benefits of brain atlases are also discussed. Brain atlases can be classified into five types, including: (1) Brain atlases based on sectional specimens. (2) Visual brain atlases based on digital human technology. (3) Probabilistic brain atlases based on in vivo imaging data. (4) Brain atlases at the histological and gene level. (5) Brainnetome atlases. In this review, future directions for the development of brain atlas in developmental neuroscience and their potential clinical applications are proposed.","PeriodicalId":72818,"journal":{"name":"Digital medicine","volume":"9 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141801024","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}
Extended reality (XR) is a collective term for various technologies, including augmented reality (AR), virtual reality (VR), and mixed reality (MR). In recent years, XR has been applied in medical education and training, clinical therapy, and other fields. This scoping review aims to comprehensively summarize the current and potential use of XR in orthodontics. A systematic search was conducted to identify literature on the applications of XR in orthodontic education and training, doctor-patient communication, and orthodontic diagnosis and treatment published from 1999 to 2023. The search was conducted up to August 2023 to identify articles from Embase, PubMed, Web of Science, CNKI, and Google Scholar. A total of 185 studies were screened and 12 articles were reviewed in depth. The applications proposed for XR are educational purposes in 4 studies, and orthodontic diagnosis and treatment in 8 studies. A comparison of studies on different applications indicates that XR technology has varying degrees of positive effects in orthodontic education and treatment. However, XR in orthodontics is still in its early stages of development, and further studies with larger samples and longer clinical trials are needed to confirm the potential positive effects of XR.
{"title":"Progress and prospects in the application of extended reality (XR) in Orthodontics","authors":"Yunyi Xie, Yu Gao, Xue-Peng Chen","doi":"10.1097/dm-2023-00021","DOIUrl":"https://doi.org/10.1097/dm-2023-00021","url":null,"abstract":"Extended reality (XR) is a collective term for various technologies, including augmented reality (AR), virtual reality (VR), and mixed reality (MR). In recent years, XR has been applied in medical education and training, clinical therapy, and other fields. This scoping review aims to comprehensively summarize the current and potential use of XR in orthodontics. A systematic search was conducted to identify literature on the applications of XR in orthodontic education and training, doctor-patient communication, and orthodontic diagnosis and treatment published from 1999 to 2023. The search was conducted up to August 2023 to identify articles from Embase, PubMed, Web of Science, CNKI, and Google Scholar. A total of 185 studies were screened and 12 articles were reviewed in depth. The applications proposed for XR are educational purposes in 4 studies, and orthodontic diagnosis and treatment in 8 studies. A comparison of studies on different applications indicates that XR technology has varying degrees of positive effects in orthodontic education and treatment. However, XR in orthodontics is still in its early stages of development, and further studies with larger samples and longer clinical trials are needed to confirm the potential positive effects of XR.","PeriodicalId":72818,"journal":{"name":"Digital medicine","volume":"46 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141410119","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}
C. Serra, Araceli Jiménez Fuertes, Efraín López Caicedo, Luciano Leandro García Fernández, J. F. Tomás Martínez
{"title":"Telemonitoring with wearables and artificial intelligence for sustainable healthcare","authors":"C. Serra, Araceli Jiménez Fuertes, Efraín López Caicedo, Luciano Leandro García Fernández, J. F. Tomás Martínez","doi":"10.1097/dm-2024-00004","DOIUrl":"https://doi.org/10.1097/dm-2024-00004","url":null,"abstract":"","PeriodicalId":72818,"journal":{"name":"Digital medicine","volume":"14 19","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141415137","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}
Weihao Zhou, Ziwei Guo, M. E. El Akkawi, Xiaojuan Qi
{"title":"Application of finite element analysis in maxillofacial surgery biomechanics","authors":"Weihao Zhou, Ziwei Guo, M. E. El Akkawi, Xiaojuan Qi","doi":"10.1097/dm-2023-00006","DOIUrl":"https://doi.org/10.1097/dm-2023-00006","url":null,"abstract":"","PeriodicalId":72818,"journal":{"name":"Digital medicine","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42878669","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}
L. Xie, Xiaoying Yang, Zhihan Xu, Zhongxiao Liu, Hao Wang, Ke Li, Mingming Zhao, Y. Meng, Chunfeng Hu, K. Xu
The aim of this study was to investigate the qualities of advanced image based virtual monoenergetic (Mono+) images using a noise optimized algorithm at different kiloelectron volts (keV) compared with linear blended 120 kilovoltage (kV) images in patients with coronary stents. Thirty two patients who had undergone coronary computed tomography angiography were retrospectively enrolled in the study. Linear blended 120 kV image and 16 Mono+ images were reconstructed. Quantitative assessments included luminal attenuation difference, in stent image noise, in stent signal to noise ratio (SNR) and contrast to noise ratio (CNR). Double blinded and independent qualitative evaluation of image quality was performed by two readers using a five point scale. The luminal attenuation difference value in the 190 keV group was the lowest. The in stent image noise in the 190 keV group was the lowest, in comparison with that in the 90–180 keV groups; however, it showed no significant difference. The 40 keV group had the highest in stent SNR, and there were no differences between the 40 keV group and the 50–100 keV groups. The 60 keV group had the highest in stent CNR, although no significant difference was found between the 60 keV group and the 40–120 keV groups. The highest subjective score was observed in the 80 keV group, with significant differences from the other groups (P < 0.05), except for the 90 keV group. In comparison with computed tomography image with conventional reconstruction, Mono+ reconstructions at 90 keV can significantly reduce the in stent noise and provide better image quality of coronary stents.
{"title":"Impact of an advanced image based monoenergetic reconstruction algorithm on coronary artery stent visualization by dual source dual energy computed tomography: A primary study","authors":"L. Xie, Xiaoying Yang, Zhihan Xu, Zhongxiao Liu, Hao Wang, Ke Li, Mingming Zhao, Y. Meng, Chunfeng Hu, K. Xu","doi":"10.1097/dm-2023-00013","DOIUrl":"https://doi.org/10.1097/dm-2023-00013","url":null,"abstract":"\u0000 \u0000 \u0000 The aim of this study was to investigate the qualities of advanced image based virtual monoenergetic (Mono+) images using a noise optimized algorithm at different kiloelectron volts (keV) compared with linear blended 120 kilovoltage (kV) images in patients with coronary stents.\u0000 \u0000 \u0000 \u0000 Thirty two patients who had undergone coronary computed tomography angiography were retrospectively enrolled in the study. Linear blended 120 kV image and 16 Mono+ images were reconstructed. Quantitative assessments included luminal attenuation difference, in stent image noise, in stent signal to noise ratio (SNR) and contrast to noise ratio (CNR). Double blinded and independent qualitative evaluation of image quality was performed by two readers using a five point scale.\u0000 \u0000 \u0000 \u0000 The luminal attenuation difference value in the 190 keV group was the lowest. The in stent image noise in the 190 keV group was the lowest, in comparison with that in the 90–180 keV groups; however, it showed no significant difference. The 40 keV group had the highest in stent SNR, and there were no differences between the 40 keV group and the 50–100 keV groups. The 60 keV group had the highest in stent CNR, although no significant difference was found between the 60 keV group and the 40–120 keV groups. The highest subjective score was observed in the 80 keV group, with significant differences from the other groups (P < 0.05), except for the 90 keV group.\u0000 \u0000 \u0000 \u0000 In comparison with computed tomography image with conventional reconstruction, Mono+ reconstructions at 90 keV can significantly reduce the in stent noise and provide better image quality of coronary stents.\u0000","PeriodicalId":72818,"journal":{"name":"Digital medicine","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48778153","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":"Machine learning in basic scientific research on oral diseases","authors":"Cheng Yin, Bin Yan","doi":"10.1097/dm-2023-00001","DOIUrl":"https://doi.org/10.1097/dm-2023-00001","url":null,"abstract":"","PeriodicalId":72818,"journal":{"name":"Digital medicine","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44855561","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}
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