人工智能对乳腺癌病理学的影响:文献综述
Amr Soliman1, Zaibo Li1, Anil V Parwani2
1Department of Pathology, Ohio State University, Columbus, OH, USA.
Diagnostic pathology
|February 22, 2024
概括
人工智能 (AI) 通过提高诊断准确性和效率,显著增强乳腺癌 (BC) 病理学. 人工智能在瘤识别,分级和预测治疗反应方面表现出色,有望改善患者的治疗结果.
科学领域:
- 病理学 病理学 病理学
- 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 (BC) 的诊断和管理在很大程度上依赖于病理学.
- 传统方法在准确性,效率和标准化方面面临挑战.
- 人工智能 (AI) 为这些局限性提供了潜在的解决方案.
研究的目的:
- 审查人工智能对乳腺癌病理学的影响.
- 突出AI在诊断和管理中的应用.
- 讨论AI在提高准确性和效率方面的作用.
主要方法:
- 对人工智能在乳腺癌病理学中的多项研究的综述.
- 对人工智能应用程序的分析,包括图像分析,分级和预测.
- 专注于诸如卷积神经网络和适应性采样等技术.
主要成果:
- 人工智能提高了诊断准确度,并减少了BC病理学的错误.
- 人工智能从整个幻灯片图像中熟练地识别出侵入性瘤和淋巴结转移.
- 人工智能增强了荷尔蒙状况评估,分级,线粒细胞计数和预后预测.
- 人工智能有助于评估瘤透的淋巴细胞和预测化疗反应.
结论:
- 人工智能在提高乳腺癌病理学准确性,效率和标准化方面显示出重大前景.
- 克服预分析变量和注释需求等局限性对于人工智能采用至关重要.
- 持续的研究对于充分实现AI在BC诊断和评估中的变革潜力至关重要.
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