{"title":"理解患者对医疗人工智能的感知:一项拟议的定性研究","authors":"Jessica Escobar","doi":"10.1145/3380851.3418616","DOIUrl":null,"url":null,"abstract":"This study requires individual questionnaires to explore how patients perceive medical AI during traditional medical procedures in radiology (thoracic imaging). By determining the factors that contribute to patients’ perception of AI it will benefit patients and can facilitate the implementation of medical AI patient protocols.","PeriodicalId":447848,"journal":{"name":"ACM International Conference on Design of Communication","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Understanding Patient Perception of Medical Artificial Intelligence: A Proposed Qualitative Study\",\"authors\":\"Jessica Escobar\",\"doi\":\"10.1145/3380851.3418616\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study requires individual questionnaires to explore how patients perceive medical AI during traditional medical procedures in radiology (thoracic imaging). By determining the factors that contribute to patients’ perception of AI it will benefit patients and can facilitate the implementation of medical AI patient protocols.\",\"PeriodicalId\":447848,\"journal\":{\"name\":\"ACM International Conference on Design of Communication\",\"volume\":\"33 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-10-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACM International Conference on Design of Communication\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3380851.3418616\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM International Conference on Design of Communication","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3380851.3418616","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Understanding Patient Perception of Medical Artificial Intelligence: A Proposed Qualitative Study
This study requires individual questionnaires to explore how patients perceive medical AI during traditional medical procedures in radiology (thoracic imaging). By determining the factors that contribute to patients’ perception of AI it will benefit patients and can facilitate the implementation of medical AI patient protocols.