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Viz.ai

by Viz.ai Inc. · est. 2016

Viz.ai is an AI-powered care coordination platform that applies deep learning to medical imaging in real time to detect life-threatening conditions — large vessel occlusion stroke, pulmonary embolism, intracranial haemorrhage, aortic dissection, and other time-critical pathologies — and automatically notifies the specialist care team, enabling faster treatment decisions. Viz.ai's AI analyses CT and MRI scans as they are acquired on the scanner, before a radiologist has reviewed the images, and sends structured alerts directly to the responsible specialist's smartphone. For APAC hospitals, where time-to-treatment for stroke and pulmonary embolism significantly affects patient outcomes, Viz.ai addresses a workflow bottleneck: the delay between scan acquisition and specialist notification. Viz.ai has 1,500+ hospital deployments globally and regulatory clearances in the US (FDA 510(k)), EU (CE Mark), and is under regulatory evaluation with APAC regulators including Australia TGA.

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AIMenta verdict
Recommended
5/5

"AI imaging analysis platform that detects stroke, PE, and aortic dissection in CT/MRI and auto-alerts the care team. Viz.ai reduces time-to-treatment for life-threatening emergencies. Recommended for APAC hospitals improving emergency response and specialist coordination."

Features
6
Use cases
4
Watch outs
4
What it does

Key features

  • Stroke AI: real-time analysis of CT and CTA images detecting large vessel occlusion stroke with automated NIHSS estimation — alert sent to neurology and interventional team before radiologist review
  • Pulmonary embolism AI: CT pulmonary angiography analysis detecting PE with risk stratification — automated notification to the appropriate care team for expedited treatment
  • Haemorrhage detection: CT analysis detecting intracranial haemorrhage with volume estimation — acute care workflow support for emergency neurosurgery decisions
  • Aortic dissection: CT aorta analysis detecting Type A and B aortic dissection — time-critical condition where AI detection speed is directly correlated with treatment outcomes
  • Care coordination hub: secure specialist messaging platform that consolidates all AI alerts, imaging, and clinical communication in one mobile application for the on-call care team
  • Analytics dashboard: hospital-level and department-level analytics on AI alert volume, response times, treatment decisions, and outcomes — enables clinical leadership to quantify the impact of AI care coordination
When to reach for it

Best for

  • APAC public and private hospitals with stroke centres, catheter labs, or vascular surgery capabilities that want to reduce door-to-treatment time for large vessel occlusion stroke — every minute of delay in stroke treatment is associated with measurable outcome degradation
  • APAC regional hospitals and community hospitals that receive emergency CT scans but transfer time-critical patients to tertiary centres — Viz.ai enables remote specialist review and earlier transfer decisions
  • APAC hospital radiology departments experiencing overnight and weekend radiologist coverage gaps — AI detection alerts ensure specialists are notified for critical findings outside normal working hours without waiting for radiologist review
  • APAC healthcare systems evaluating AI-assisted clinical decision support in high-acuity settings where clinical evidence of AI benefit is established (stroke, PE, haemorrhage) and regulatory clearance pathways are defined
Don't get burned

Limitations to know

  • ! Regulatory clearance status: Viz.ai has FDA and CE Mark clearances; APAC regulatory clearances (Australia TGA, Singapore HSA, Japan PMDA) should be verified for specific product modules before clinical deployment — status varies by country and indication
  • ! Integration prerequisites: Viz.ai requires integration with PACS (Picture Archiving and Communication System) for image routing — APAC hospitals with older or non-standard PACS infrastructure should assess integration complexity
  • ! Clinical workflow change: AI care coordination changes on-call workflows and specialist notification patterns; implementation requires physician and administrator engagement to redesign alert response protocols
  • ! Scope: Viz.ai is focused on specific time-critical conditions (stroke, PE, haemorrhage, aortic dissection); it is not a general radiology AI platform — hospitals wanting broader radiology AI coverage need additional solutions for outpatient and non-emergency imaging

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