乳腺癌查模式的演变:平衡有效性,个性化和公平性
Filippo Pesapane1, Anna Rotili1, Sara Raimondi2
1Breast Imaging Division, IEO European Institute of Oncology IRCCS, Milan, Italy.
European journal of radiology
|January 20, 2024
概括
乳腺癌查 乳腺癌查
科学领域:
- 在瘤学瘤学.
- 放射学 放射学是一门学科.
- 公共卫生 公共卫生
背景情况:
- 全球乳腺癌发病率正在上升,这对健康构成重大挑战.
- 由于潜在的过度诊断和过度治疗,目前乳腺癌查的有效性受到争议.
- 偏见因素使查计划有效性的准确评估变得复杂.
研究的目的:
- 评估乳腺癌查的不断变化的格局.
- 探索人工智能在提高查准确性和效率方面的作用.
- 解决差异并促进个性化查方法.
主要方法:
- 关于乳腺癌查疗效和偏差的当前文献的综述.
- 对乳腺癌图像分析新兴人工智能技术的分析.
- 对个性化查策略和公平获取的审查.
主要成果:
- 人工智能驱动的图像分析显示,在保持准确性,同时减少放射科医生的工作量方面具有前景.
- 人工智能在不同人群中发现的普遍性仍然是研究的关键领域.
- 个性化查和公平获取对于缓解差距至关重要.
结论:
- 乳腺癌查模式正在向风险分层和个性化方法转变.
- 减少过度诊断和过度治疗是未来查策略的一个关键目标.
- 以患者为中心的护理和公平获得先进技术至关重要.
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