导航器:一个区域多式联络成像生物库倡议,由人工智能工具为瘤学精密医学提供动力
Gayane Aghakhanyan1, Andrea Barucci2, Maria Antonietta Pascali3
1Academic Radiology, Department of Translational Research and of New Surgical and Medical Technology, University of Pisa 56126 Pisa, Italy.
European journal of radiology
|July 31, 2025
概括
导航者项目创建了一个意大利的成像生物库和研究平台,整合多式联络数据用于精确瘤学. 这个平台使用人工智能 (AI) 来分析放射学和深度学习,用于癌症研究和临床决策.
科学领域:
- 在瘤学瘤学.
- 医疗成像医学成像
- 生物信息学是一种生物信息学.
- 人工智能的人工智能
背景情况:
- 精密瘤学需要集成的多式联络数据,包括成像,临床和OMIC信息.
- 现有的生物库往往缺乏交互式研究平台和先进的分析能力.
- 需要安全的环境来测试AI算法,并执行癌症研究的分析管道.
研究的目的:
- 建立一个意大利区域成像生物库和互动研究平台 (NAVIGATOR) 准确瘤学.
- 在一个安全的虚拟研究环境 (VRE) 中整合多式成像,临床和omics数据.
- 开发和实施人工智能驱动的放射学和深度学习方法,用于生物标志物提取,疾病分层和预测建模.
主要方法:
- 开发和实施NAVIGATOR基础设施,包括数据治理和道德框架.
- 整合了700多名前列腺癌,直肠癌和胃癌患者的多式成像,临床和omics数据.
- 在VRE中部署AI模型,用于图像分析,特征提取和分类任务.
主要成果:
- 建立了一个意大利区域成像生物库和互动研究平台,支持精确瘤学.
- 收集了700多名患者的成像和临床数据,用于三个瘤学用例.
- 证明了将人工智能方法纳入成像生物库以进行先进的癌症研究的可行性.
结论:
- 导航器提供了一个可扩展的框架,通过集成数据和人工智能来推进瘤研究.
- 该平台解决了数据协调,监管合规,隐私和AI公平性等关键挑战.
- 导航器支持临床决策,使生物标志物发现和预测建模在瘤学.
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