通过人工智能和数字病理学加强癌管理:病理学,诊断和预后
Elena Ivanova1,2, Alexey Fayzullin1, Victor Grinin3
1Institute for Regenerative Medicine, Sechenov First Moscow State Medical University (Sechenov University), 8-2 Trubetskaya St., Moscow 119991, Russia.
Biomedicines
|November 25, 2023
概括
数字病理学和人工智能 (AI) 通过提高准确性和可重复性来增强细胞癌的诊断. 这些工具为研究和多式联络特征提供了新的可能性,最终旨在改善患者的治疗结果.
科学领域:
- 在瘤学瘤学.
- 数字病理学数字病理学
- 医疗成像医学成像
背景情况:
- 细胞癌 (RCC) 是一个全球性的健康挑战,需要精确的诊断方法.
- 传统的病理学面临着诸如观察者之间的变性和漫长的分析时间等局限性.
- 数字病理学为克服RCC诊断和管理中的这些挑战提供了一个有希望的途径.
研究的目的:
- 提供数字病理学在细胞癌当前状态和未来潜力的全面审查.
- 探索AI和先进图像分析在RCC诊断中的应用.
- 讨论数字病理学与多式联络性特征的其他模式的整合.
主要方法:
- 审查当前的数字病理学工具和人工智能应用程序RCC.
- 分析图像分析算法用于量化细胞和分子标记物的分析.
- 探索通过数字平台促进的远程协作和数据库创建.
主要成果:
- 人工智能驱动的图像分析提高了RCC诊断的准确性和可重复性.
- 数字病理学平台支持病理学家的协作和研究数据存档.
- 与放射学和基因组学的整合使多式RCC表征成为可能.
结论:
- 数字病理学和人工智能有望显著改善RCC诊断和临床决策.
- 这些技术提供了更高的准确性,可重复性和协作潜力.
- 未来的进展可能会巩固人工智能的作用,改善细胞癌患者的治疗结果.
更多相关视频
07:32Author Spotlight: Investigating Immune Cell Dynamics in the Tumor Microenvironment — Challenges and Innovations in Cancer Prognosis
Published on: April 12, 2024
1.3K
12:22The Use of Reverse Phase Protein Arrays RPPA to Explore Protein Expression Variation within Individual Renal Cell Cancers
Published on: January 22, 2013
33.6K
相关概念视频
Combination Therapies and Personalized Medicine
4.9K
Combining two or more treatment methods increases the life span of cancer patients while reducing damage to vital organs or tissue from the overuse of a single treatment. Combination therapy also targets different cancer-inducing pathways, thus reducing the chances of developing resistance to treatment.
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...
4.9K
Cancer Survival Analysis
356
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
356
