{"title":"在发展中国家,使用智能手机拍摄眼部图像用于疾病诊断","authors":"Daniel Diethei, Johannes Schöning","doi":"10.1145/3283458.3283521","DOIUrl":null,"url":null,"abstract":"Mobile health applications can increase access to healthcare in low and middle-income countries, where the penetration of smartphones is rapidly increasing. However, despite a large amount of clinical trials of mobile health applications, there is little proof of beneficial clinical outcomes. Recent studies suggest that one of the reasons is user experience issues. The aim of our work is to improve the user experience of acquiring medical eye images with a smartphone camera. We present EyeGuide, a mobile application that assists people in taking eye images. Possible application areas are the algorithmic detection of diseases and the support of clinicians during tele-medicine examinations.","PeriodicalId":186364,"journal":{"name":"Proceedings of the Second African Conference for Human Computer Interaction: Thriving Communities","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Using smartphones to take eye images for disease diagnosis in developing countries\",\"authors\":\"Daniel Diethei, Johannes Schöning\",\"doi\":\"10.1145/3283458.3283521\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Mobile health applications can increase access to healthcare in low and middle-income countries, where the penetration of smartphones is rapidly increasing. However, despite a large amount of clinical trials of mobile health applications, there is little proof of beneficial clinical outcomes. Recent studies suggest that one of the reasons is user experience issues. The aim of our work is to improve the user experience of acquiring medical eye images with a smartphone camera. We present EyeGuide, a mobile application that assists people in taking eye images. Possible application areas are the algorithmic detection of diseases and the support of clinicians during tele-medicine examinations.\",\"PeriodicalId\":186364,\"journal\":{\"name\":\"Proceedings of the Second African Conference for Human Computer Interaction: Thriving Communities\",\"volume\":\"39 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-12-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Second African Conference for Human Computer Interaction: Thriving Communities\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3283458.3283521\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Second African Conference for Human Computer Interaction: Thriving Communities","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3283458.3283521","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Using smartphones to take eye images for disease diagnosis in developing countries
Mobile health applications can increase access to healthcare in low and middle-income countries, where the penetration of smartphones is rapidly increasing. However, despite a large amount of clinical trials of mobile health applications, there is little proof of beneficial clinical outcomes. Recent studies suggest that one of the reasons is user experience issues. The aim of our work is to improve the user experience of acquiring medical eye images with a smartphone camera. We present EyeGuide, a mobile application that assists people in taking eye images. Possible application areas are the algorithmic detection of diseases and the support of clinicians during tele-medicine examinations.