The promise of AI in personalized breast cancer screening: are we there yet?

IF 81.1 1区医学 Q1 ONCOLOGY

Nature Reviews Clinical Oncology Pub Date : 2024-03-12 DOI:10.1038/s41571-024-00877-z

Despina Kontos

引用次数: 0

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.

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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？

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。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Nature Reviews Clinical Oncology 医学-肿瘤学

CiteScore

99.40

自引率

0.40%

发文量

114

审稿时长

6-12 weeks

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.