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人工智能和云基平台，用于从冠状动脉造影术实现完全自动的 PCI 指导-研究方案。

Artificial intelligence and cloud based platform for fully automated PCI guidance from coronary angiography-study protocol.

机构信息

Department of Cardiology, Emergency Clinical Hospital, Bucharest, Romania.

Department Cardio-Thoracic 4, University of Medicine and Pharmacy "Carol Davila", Bucharest, Romania.

出版信息

PLoS One. 2022 Sep 9;17(9):e0274296. doi: 10.1371/journal.pone.0274296. eCollection 2022.

DOI:10.1371/journal.pone.0274296
PMID:36084034
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9462679/
Abstract

Ischemic heart disease represent a heavy burden for the medical systems irrespective of the methods used for diagnosis and treatment of such patients in the daily medical routine. The present paper depicts the protocol of a study whose main aim is to develop, implement and test an artificial intelligence algorithm and cloud based platform for fully automated PCI guidance using coronary angiography images. We propose the utilisation of multiple artificial intelligence based models to produce three-dimensional coronary anatomy reconstruction and assess function- post-PCI FFR computation- for developing an extensive report describing and motivating the optimal PCI strategy selection. All the relevant artificial intelligence model outputs (anatomical and functional assessment-pre- and post-PCI) are presented to the clinician via a cloud platform, who can then take the utmost treatment decision. The physician will be provided with multiple scenarios and treatment possibilities for the same case allowing a real-time evaluation of the most appropriate PCI strategy planning and follow-up. The artificial intelligence algorithms and cloud based PCI selection workflow will be verified and validated in a pilot clinical study including subjects prospectively to compare the artificial intelligence services and results against annotations and invasive measurements.

摘要

无论在日常医疗实践中采用何种方法来诊断和治疗此类患者，缺血性心脏病都给医疗系统带来了沉重的负担。本文描述了一项研究的方案，该研究的主要目的是开发、实施和测试一种人工智能算法和基于云的平台，以实现使用冠状动脉造影图像的完全自动化 PCI 指导。我们建议利用多种基于人工智能的模型来生成三维冠状动脉解剖重建，并评估功能 - PCI 后的 FFR 计算 - 以开发一份详尽的报告，描述和证明最佳 PCI 策略选择的合理性。所有相关的人工智能模型输出（解剖和功能评估 - PCI 前后）都通过云平台呈现给临床医生，然后临床医生可以做出最佳的治疗决策。医生将获得同一病例的多种治疗方案和可能性，从而可以实时评估最合适的 PCI 策略规划和随访。人工智能算法和基于云的 PCI 选择工作流程将在一项包括前瞻性受试者的试点临床研究中进行验证和验证，以将人工智能服务和结果与注释和侵入性测量进行比较。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20ef/9462679/ea2520c84e92/pone.0274296.g006.jpg
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