{"title":"人工智能辅助检测淋巴结转移可安全地降低成本和缩短时间。","authors":"","doi":"10.1038/s43018-024-00795-0","DOIUrl":null,"url":null,"abstract":"Our non-randomized single-center clinical trial demonstrates the safety, cost-saving and time-saving potential of artificial intelligence (AI) assistance in the detection of breast cancer metastases in sentinel lymph nodes. AI assistance shows important benefits for pathologists and the laboratory workflow, which are needed as cancer incidence and diagnostics continue to rise.","PeriodicalId":18885,"journal":{"name":"Nature cancer","volume":"5 8","pages":"1139-1140"},"PeriodicalIF":23.5000,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"AI-assisted detection of lymph node metastases safely reduces costs and time\",\"authors\":\"\",\"doi\":\"10.1038/s43018-024-00795-0\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Our non-randomized single-center clinical trial demonstrates the safety, cost-saving and time-saving potential of artificial intelligence (AI) assistance in the detection of breast cancer metastases in sentinel lymph nodes. AI assistance shows important benefits for pathologists and the laboratory workflow, which are needed as cancer incidence and diagnostics continue to rise.\",\"PeriodicalId\":18885,\"journal\":{\"name\":\"Nature cancer\",\"volume\":\"5 8\",\"pages\":\"1139-1140\"},\"PeriodicalIF\":23.5000,\"publicationDate\":\"2024-07-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nature cancer\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.nature.com/articles/s43018-024-00795-0\",\"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 cancer","FirstCategoryId":"3","ListUrlMain":"https://www.nature.com/articles/s43018-024-00795-0","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ONCOLOGY","Score":null,"Total":0}
AI-assisted detection of lymph node metastases safely reduces costs and time
Our non-randomized single-center clinical trial demonstrates the safety, cost-saving and time-saving potential of artificial intelligence (AI) assistance in the detection of breast cancer metastases in sentinel lymph nodes. AI assistance shows important benefits for pathologists and the laboratory workflow, which are needed as cancer incidence and diagnostics continue to rise.
期刊介绍：
Cancer is a devastating disease responsible for millions of deaths worldwide. However, many of these deaths could be prevented with improved prevention and treatment strategies. To achieve this, it is crucial to focus on accurate diagnosis, effective treatment methods, and understanding the socioeconomic factors that influence cancer rates.
Nature Cancer aims to serve as a unique platform for sharing the latest advancements in cancer research across various scientific fields, encompassing life sciences, physical sciences, applied sciences, and social sciences. The journal is particularly interested in fundamental research that enhances our understanding of tumor development and progression, as well as research that translates this knowledge into clinical applications through innovative diagnostic and therapeutic approaches. Additionally, Nature Cancer welcomes clinical studies that inform cancer diagnosis, treatment, and prevention, along with contributions exploring the societal impact of cancer on a global scale.
In addition to publishing original research, Nature Cancer will feature Comments, Reviews, News & Views, Features, and Correspondence that hold significant value for the diverse field of cancer research.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
