Viz LVO auto-detects suspected large vessel occlusions within seconds of image acquisition. 90% of alerts are reviewed by the intended specialist within 5 minutes. Viz LVO improves stroke team coordination and patient outcomes simultaneously.

2022年9月7日 · The Viz.ai artificial intelligence (AI) software module Viz large‐vessel occlusion (LVO) utilizes AI‐powered LVO detection and triage technology to automatically identify suspected LVOs through computed tomographic angiogram imaging and alert on‐call stroke teams.

Viz LVO Overview. The Viz LVO software uses AI algorithms to analyze CTA images of the brain to quickly and accurately detect the presence of suspected large vessel occlusions. This rapid identification can be crucial for stroke patients, as timely …

Viz LVO is a notification-only, parallel workflow tool for use by hospital networks and trained clinicians to identify and communicate images of specific patients to a specialist, independent of standard of care workflow.

Viz LVO (Viz.ai) is a medical product leveraging a convolutional neural network designed to detect LVOs on CTA scans and notify a neurointerventional specialist within minutes via a dedicated mobile application. Our aim was to evaluate the detection accuracy of the Viz LVO in real clinical practice at a comprehensive stroke and trauma center.

2023年6月15日 · Automatically detects and triages suspected large vessel occlusions (LVO) Proven to reduce door-in-door-out (DIDO) and door-to-groin (DTG) times

2024年9月4日 · Viz LVO uses artificial intelligence to automatically identify suspected large vessel occlusion strokes on CT angiogram imaging in your network and to alert your on-call stroke team within minutes.

A computer-aided triage system, Viz LVO, has the potential to streamline workflows. This platform includes an image viewer, a communication system, and an artificial intelligence (AI) algorithm that automatically identifies suspected LVO strokes on CTA imaging and rapidly triggers alerts.

Viz.ai（https://www.viz.ai/）是使用AI算法和机器学习来提高诊断和治疗速度的先驱，其服务范围覆盖美国和欧洲1500多家医院和卫生系统的超2.3亿人，致力于扩大挽救生命治疗的获取途径，并通过AI助力医疗协作，减少患者获得挽救生命治疗的医疗系统相关延迟。

2024年2月7日 · 分析发现，通过实施Viz LVO，所有中心的门到腹股沟（DTG）时间减少了11分钟。 这项研究是首次基于用户参与度评估人工智能在急性卒中工作流程中的影响。