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。

IF 23.5 1区医学 Q1 ONCOLOGY

Nature cancer Pub Date : 2024-07-24 DOI:10.1038/s43018-024-00795-0

引用次数: 0

摘要

我们的非随机单中心临床试验证明了人工智能（AI）辅助检测前哨淋巴结乳腺癌转移的安全性、节约成本和时间的潜力。人工智能辅助技术为病理学家和实验室工作流程带来了重要的益处，随着癌症发病率和诊断率的不断上升，我们需要人工智能辅助技术。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

AI-assisted detection of lymph node metastases safely reduces costs and time

查看原文本刊更多论文

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.

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来源期刊

Nature cancer Medicine-Oncology

CiteScore

31.10

自引率

1.80%

发文量

129

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.