技术
- 分析与建模 - 机器学习
- 网络安全和隐私 - 安全合规
适用行业
- 教育
- 医疗保健和医院
适用功能
- 产品研发
- 质量保证
用例
- 自动化疾病诊断
- 疾病追踪
服务
- 云规划/设计/实施服务
- 测试与认证
关于客户
HeartFlow 是一家医疗技术公司,正在重新定义心脏病的诊断和治疗方式。该公司开发了一种非侵入性技术 HeartFlow FFRct Analysis,该技术利用深度学习创建个性化的心脏 3D 模型。该模型使临床医生能够更好地评估阻塞对血流的影响,并确定患者的最佳治疗方案。 HeartFlow 的技术旨在帮助临床医生诊断和治疗疑似冠状动脉疾病 (CAD) 的患者,冠状动脉疾病是最常见的心脏病类型,也是世界上最主要的死亡原因。该公司的使命是通过提供一种更安全、更有效的替代方案来替代通常用于检测 CAD 的侵入性、昂贵且具有潜在风险的诊断性冠状动脉血管造影,从而改善全球心脏护理。
挑战
HeartFlow 是一家医疗技术公司,正在通过其非侵入性 HeartFlow FFRct 分析彻底改变心脏病的诊断和治疗。该技术利用深度学习创建个性化的心脏 3D 模型,使临床医生能够更好地评估阻塞对血流的影响并确定最佳治疗方案。然而,该公司面临着重大挑战。心血管疾病是世界上最主要的死亡原因,每年夺走超过 1700 万人的生命。最常见的类型是冠状动脉疾病 (CAD),它会减少流向心脏的血液,导致胸痛、心脏病发作和死亡。临床医生需要知道是否存在阻塞、何处存在阻塞,以及它如何影响血流。这些信息对于为患者选择最佳治疗途径至关重要,例如医疗管理、支架置入或搭桥手术。然而,通常用于检测 CAD 的诊断性冠状动脉造影是侵入性的、昂贵的且存在潜在风险。超过一半接受测试的患者没有明显的阻塞,并且该过程可能会导致严重的并发症。
解决方案
HeartFlow 开发了 HeartFlow FFRct 分析,这是一种非侵入性技术,可帮助临床医生诊断和治疗疑似 CAD 患者。它使临床医生能够深入了解 CAD 的程度及其对血流的影响,帮助他们为每位患者设计明确的个性化治疗计划,并减少额外的检查。无创冠状动脉 CT 血管造影的数据从医院安全上传到云端。 HeartFlow 使用深度学习创建患者冠状动脉的个性化数字 3D 模型。 HeartFlow 的认证分析师对模型进行必要的修正。然后,HeartFlow Analysis 使用机器学习和计算流体动力学 (CFD) 算法来求解数百万个有关血流的方程。由此产生的 HeartFlow FFRct 分析显示阻塞如何影响冠状动脉血流,并通过安全的网络界面提供给医疗团队。为了满足及时获得结果所需的大量处理能力,HeartFlow 将其整个基础设施迁移到 Amazon Web Services (AWS)。
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