{"title":"在癌症护理中使用通用人工智能的指导原则","authors":"Stephen Gilbert, Jakob Nikolas Kather","doi":"10.1038/s41568-024-00685-8","DOIUrl":null,"url":null,"abstract":"Artificial narrow intelligence models, trained for specific intended purposes, have gained approval and recommendation for cancer treatment. Generalist medicial artificial intelligence (GMAI) models are now being developed for cancer treatment. Policy makers have a stark choice: radically adapt frameworks, block generalist approaches or force them onto narrower tracks. Generalist medical artificial intelligence (GMAI) models are gaining momentum in their applications for cancer treatment. In this Comment, Gilbert and Kather advocate for novel regulation of GMAI approaches to ensure patient safety and adequate physician support.","PeriodicalId":19055,"journal":{"name":"Nature Reviews Cancer","volume":"24 6","pages":"357-358"},"PeriodicalIF":72.5000,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Guardrails for the use of generalist AI in cancer care\",\"authors\":\"Stephen Gilbert, Jakob Nikolas Kather\",\"doi\":\"10.1038/s41568-024-00685-8\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Artificial narrow intelligence models, trained for specific intended purposes, have gained approval and recommendation for cancer treatment. Generalist medicial artificial intelligence (GMAI) models are now being developed for cancer treatment. Policy makers have a stark choice: radically adapt frameworks, block generalist approaches or force them onto narrower tracks. Generalist medical artificial intelligence (GMAI) models are gaining momentum in their applications for cancer treatment. In this Comment, Gilbert and Kather advocate for novel regulation of GMAI approaches to ensure patient safety and adequate physician support.\",\"PeriodicalId\":19055,\"journal\":{\"name\":\"Nature Reviews Cancer\",\"volume\":\"24 6\",\"pages\":\"357-358\"},\"PeriodicalIF\":72.5000,\"publicationDate\":\"2024-04-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nature Reviews Cancer\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.nature.com/articles/s41568-024-00685-8\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ONCOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature Reviews Cancer","FirstCategoryId":"3","ListUrlMain":"https://www.nature.com/articles/s41568-024-00685-8","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ONCOLOGY","Score":null,"Total":0}
Guardrails for the use of generalist AI in cancer care
Artificial narrow intelligence models, trained for specific intended purposes, have gained approval and recommendation for cancer treatment. Generalist medicial artificial intelligence (GMAI) models are now being developed for cancer treatment. Policy makers have a stark choice: radically adapt frameworks, block generalist approaches or force them onto narrower tracks. Generalist medical artificial intelligence (GMAI) models are gaining momentum in their applications for cancer treatment. In this Comment, Gilbert and Kather advocate for novel regulation of GMAI approaches to ensure patient safety and adequate physician support.
期刊介绍：
Nature Reviews Cancer, a part of the Nature Reviews portfolio of journals, aims to be the premier source of reviews and commentaries for the scientific communities it serves. The correct abbreviation for abstracting and indexing purposes is Nat. Rev. Cancer. The international standard serial numbers (ISSN) for Nature Reviews Cancer are 1474-175X (print) and 1474-1768 (online). Unlike other journals, Nature Reviews Cancer does not have an external editorial board. Instead, all editorial decisions are made by a team of full-time professional editors who are PhD-level scientists. The journal publishes Research Highlights, Comments, Reviews, and Perspectives relevant to cancer researchers, ensuring that the articles reach the widest possible audience due to their broad scope.
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