{"title":"医疗保健领域的人工智能:游戏规则改变者","authors":"M. Krishnatreya","doi":"10.4103/digm.digm_8_19","DOIUrl":null,"url":null,"abstract":"46 field of mental health, AI has been explored for predicting successful antidepressant medication,[4] characterizing depression,[5] predicting suicide, and predicting bouts of psychosis in schizophrenics,[6] to name a few. Similarly, smartphone examinations with AI are being considered for a variety of medical diagnostic purposes, such as skin lesions and rashes, ear infections, headaches, and retinal diseases such as diabetic retinopathy and age-related macular degeneration.[7]","PeriodicalId":72818,"journal":{"name":"Digital medicine","volume":"5 1","pages":"46 - 47"},"PeriodicalIF":0.0000,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Artificial intelligence in health care: A game changer\",\"authors\":\"M. Krishnatreya\",\"doi\":\"10.4103/digm.digm_8_19\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"46 field of mental health, AI has been explored for predicting successful antidepressant medication,[4] characterizing depression,[5] predicting suicide, and predicting bouts of psychosis in schizophrenics,[6] to name a few. Similarly, smartphone examinations with AI are being considered for a variety of medical diagnostic purposes, such as skin lesions and rashes, ear infections, headaches, and retinal diseases such as diabetic retinopathy and age-related macular degeneration.[7]\",\"PeriodicalId\":72818,\"journal\":{\"name\":\"Digital medicine\",\"volume\":\"5 1\",\"pages\":\"46 - 47\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Digital medicine\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4103/digm.digm_8_19\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Digital medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4103/digm.digm_8_19","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Artificial intelligence in health care: A game changer
46 field of mental health, AI has been explored for predicting successful antidepressant medication,[4] characterizing depression,[5] predicting suicide, and predicting bouts of psychosis in schizophrenics,[6] to name a few. Similarly, smartphone examinations with AI are being considered for a variety of medical diagnostic purposes, such as skin lesions and rashes, ear infections, headaches, and retinal diseases such as diabetic retinopathy and age-related macular degeneration.[7]
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