乳腺癌诊断和治疗中的人工智能:成像,病理学和个性化护理方面的进展
Petar Uchikov1, Usman Khalid2, Granit Harris Dedaj-Salad2
1Department of Special Surgery, Faculty of Medicine, Medical University of Plovdiv, 4002 Plovdiv, Bulgaria.
Life (Basel, Switzerland)
|November 27, 2024
概括
人工智能 (AI) 通过提高成像准确性和个性化医疗来增强乳腺癌诊断和治疗. 虽然存在挑战,但人工智能集成有望改善患者的治疗结果和瘤学方面的护理.
科学领域:
- 在瘤学瘤学.
- 医疗成像医学成像
- 人工智能的人工智能
背景情况:
- 乳腺癌是全球领先的癌症,在全球范围内发病率不断增加.
- 像BRCA1和BRCA2这样的遗传因素会影响乳腺癌的风险.
- 人工智能的进步为乳腺癌管理提供了新的可能性.
研究的目的:
- 探索人工智能在乳腺癌诊断和治疗中的应用.
- 讨论人工智能如何改善患者护理并解决潜在的缺点.
- 审查AI在诊断非可触摸乳腺质量的作用.
主要方法:
- 非系统的文献综述.
- 在谷歌学者和PubMed.Med上进行的搜索.
- 专注于AI用于诊断和治疗不可触摸的乳腺质量.
主要成果:
- 人工智能改善了乳房影像,MRI和超声波中的癌症检测.
- 人工智能增强了生物标志物评估的病理学 (HER2, Ki67).
- 人工智能有助于个性化医疗,风险分层和治疗反应预测.
结论:
- 人工智能整合显示出改善乳腺癌诊断,预后和治疗的巨大潜力.
- 人工智能可以推进个性化医疗和三阴性乳腺癌管理.
- 挑战包括数据变化,伦理问题和验证,但人工智能提供了巨大的好处.
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