{"title":"人工智能在个性化乳腺癌筛查中的应用前景：我们做到了吗？","authors":"Despina Kontos","doi":"10.1038/s41571-024-00877-z","DOIUrl":null,"url":null,"abstract":"The benefits and potential harms of mammography-based screening for breast cancer are often a matter of debate. Here, I discuss the promises and limitations of a recent study that tested an artificial intelligence-based tool for the detection of breast cancer in digital mammograms in a large, prospective screening setting.","PeriodicalId":19079,"journal":{"name":"Nature Reviews Clinical Oncology","volume":"21 6","pages":"403-404"},"PeriodicalIF":81.1000,"publicationDate":"2024-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The promise of AI in personalized breast cancer screening: are we there yet?\",\"authors\":\"Despina Kontos\",\"doi\":\"10.1038/s41571-024-00877-z\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The benefits and potential harms of mammography-based screening for breast cancer are often a matter of debate. Here, I discuss the promises and limitations of a recent study that tested an artificial intelligence-based tool for the detection of breast cancer in digital mammograms in a large, prospective screening setting.\",\"PeriodicalId\":19079,\"journal\":{\"name\":\"Nature Reviews Clinical Oncology\",\"volume\":\"21 6\",\"pages\":\"403-404\"},\"PeriodicalIF\":81.1000,\"publicationDate\":\"2024-03-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nature Reviews Clinical Oncology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.nature.com/articles/s41571-024-00877-z\",\"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 Clinical Oncology","FirstCategoryId":"3","ListUrlMain":"https://www.nature.com/articles/s41571-024-00877-z","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0
摘要
基于乳腺 X 射线照相术的乳腺癌筛查的益处和潜在危害经常引起争论。在此，我将讨论一项最新研究的前景和局限性，该研究测试了一种基于人工智能的工具，用于在大型前瞻性筛查环境中检测数字乳房X光照片中的乳腺癌。
The promise of AI in personalized breast cancer screening: are we there yet?
The benefits and potential harms of mammography-based screening for breast cancer are often a matter of debate. Here, I discuss the promises and limitations of a recent study that tested an artificial intelligence-based tool for the detection of breast cancer in digital mammograms in a large, prospective screening setting.
期刊介绍：
Nature Reviews publishes clinical content authored by internationally renowned clinical academics and researchers, catering to readers in the medical sciences at postgraduate levels and beyond. Although targeted at practicing doctors, researchers, and academics within specific specialties, the aim is to ensure accessibility for readers across various medical disciplines. The journal features in-depth Reviews offering authoritative and current information, contextualizing topics within the history and development of a field. Perspectives, News & Views articles, and the Research Highlights section provide topical discussions, opinions, and filtered primary research from diverse medical journals.
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