{"title":"健康人工智能:走向更智能还是更人工医学?","authors":"Soto Romero G","doi":"10.19080/ctbeb.2018.16.555947","DOIUrl":null,"url":null,"abstract":"If we refer to the latest studies on the use of artificial intelligence in health applications [1], we notice that different algorithms and software have been developed and tested in order to compare the results obtained between a human diagnosis and one given by a machine. As an example we can mention the recent competence in China in the diagnosis of brain tumors in which the Biomind system surpassed 87% of correct diagnoses to a group of surgeons, who achieved 66% (out of 225 cases studied, in 15 ‘against 30 ‘respectively)[2].","PeriodicalId":11007,"journal":{"name":"Current Trends in Biomedical Engineering & Biosciences","volume":"89 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2018-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Artificial Intelligence for Health: Towards more intelligence or more artificial medicine?\",\"authors\":\"Soto Romero G\",\"doi\":\"10.19080/ctbeb.2018.16.555947\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"If we refer to the latest studies on the use of artificial intelligence in health applications [1], we notice that different algorithms and software have been developed and tested in order to compare the results obtained between a human diagnosis and one given by a machine. As an example we can mention the recent competence in China in the diagnosis of brain tumors in which the Biomind system surpassed 87% of correct diagnoses to a group of surgeons, who achieved 66% (out of 225 cases studied, in 15 ‘against 30 ‘respectively)[2].\",\"PeriodicalId\":11007,\"journal\":{\"name\":\"Current Trends in Biomedical Engineering & Biosciences\",\"volume\":\"89 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Current Trends in Biomedical Engineering & Biosciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.19080/ctbeb.2018.16.555947\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Trends in Biomedical Engineering & Biosciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.19080/ctbeb.2018.16.555947","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Artificial Intelligence for Health: Towards more intelligence or more artificial medicine?
If we refer to the latest studies on the use of artificial intelligence in health applications [1], we notice that different algorithms and software have been developed and tested in order to compare the results obtained between a human diagnosis and one given by a machine. As an example we can mention the recent competence in China in the diagnosis of brain tumors in which the Biomind system surpassed 87% of correct diagnoses to a group of surgeons, who achieved 66% (out of 225 cases studied, in 15 ‘against 30 ‘respectively)[2].
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