{"title":"[病理学人工智能--如何、在哪里、为什么？］","authors":"Peter Schüffler, Katja Steiger, Carolin Mogler","doi":"10.1007/s00292-024-01314-9","DOIUrl":null,"url":null,"abstract":"<p><p>Artificial intelligence promises many innovations and simplifications in pathology, but also raises just as many questions and uncertainties. In this article, we provide a brief overview of the current status, the goals already achieved by existing algorithms, and the remaining challenges.</p>","PeriodicalId":74402,"journal":{"name":"Pathologie (Heidelberg, Germany)","volume":" ","pages":"198-202"},"PeriodicalIF":0.0000,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11045628/pdf/","citationCount":"0","resultStr":"{\"title\":\"[Artificial intelligence for pathology-how, where, and why?]\",\"authors\":\"Peter Schüffler, Katja Steiger, Carolin Mogler\",\"doi\":\"10.1007/s00292-024-01314-9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Artificial intelligence promises many innovations and simplifications in pathology, but also raises just as many questions and uncertainties. In this article, we provide a brief overview of the current status, the goals already achieved by existing algorithms, and the remaining challenges.</p>\",\"PeriodicalId\":74402,\"journal\":{\"name\":\"Pathologie (Heidelberg, Germany)\",\"volume\":\" \",\"pages\":\"198-202\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11045628/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Pathologie (Heidelberg, Germany)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/s00292-024-01314-9\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/3/12 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Pathologie (Heidelberg, Germany)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s00292-024-01314-9","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/3/12 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
[Artificial intelligence for pathology-how, where, and why?]
Artificial intelligence promises many innovations and simplifications in pathology, but also raises just as many questions and uncertainties. In this article, we provide a brief overview of the current status, the goals already achieved by existing algorithms, and the remaining challenges.
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