人工智能在细胞癌的基因病理学:当前的应用和未来的前景
Alfredo Distante1,2, Laura Marandino3, Riccardo Bertolo4
1Department of Urology, Catholic University of the Sacred Heart, 00168 Roma, Italy.
Diagnostics (Basel, Switzerland)
|July 14, 2023
概括
人工智能 (AI) 在提高细胞癌 (RCC) 病理分析的准确性和效率方面表现有前途. 虽然人工智能有助于诊断和预后,但对于病理学家来说,标准化和临床整合仍然存在挑战.
科学领域:
- 病理学 病理学 病理学
- 人工智能的人工智能
- 在瘤学瘤学.
背景情况:
- 细胞癌 (RCC) 由于其多样化的基因病理特征,提出了诊断和预后挑战.
- 对RCC的病理分析是劳动密集型的,并且受观察者之间的变化影响.
研究的目的:
- 审查人工智能 (AI) 对细胞癌 (RCC) 病理学的最新进展.
- 评估AI在提高RCC分析中的诊断精度,效率和客观性的潜力.
- 在RCC病理学中确定AI实施的挑战和未来方向.
主要方法:
- 对人工智能在细胞癌病理学中的应用进行了全面的文献综述.
- 对基于人工智能的方法进行分析,用于对病原体特征的识别和分类.
主要成果:
- 人工智能在识别和分类RCC组织病理特征方面表现出有效性.
- 人工智能有助于对细胞癌进行准确的诊断,分级和预后预测.
- 人工智能方法显示出降低成本和观察者间变异性的潜力.
结论:
- 人工智能对改善细胞癌的诊断和预后具有重大前景.
- 标准化,通用化和临床工作流集成是人工智能实施的关键挑战.
- 开发可解释的人工智能和强大的验证工作流程对于临床采用和增强患者护理至关重要.
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