Viz ICH Plus flags a haematoma; transfer in 101 minutes, mRS 1

AI system

System: Viz ICH Plus
Model: Not assessed
Release: Not assessed
Application developer: Viz.ai
Role: Not assessed
Configuration: Not assessed
Inputs and outputs: Not assessed
Autonomy: Not assessed
Workflow: Viz ICH Plus running on CT scans at the transferring hospital with automatic notification to a centralized neuro-emergency transfer team. A command-center workflow that coordinates stabilization advice and ambulance transfer.
Human oversight: Not assessed
Relation to AI: The software detected the haematoma and auto-alerted the receiving team, which coordinated stabilization advice and transfer. A CT ordered for severe headache would have shown the bleed regardless, so the AI's contribution is the speed of notification and transfer. Dr Kellner discloses research grant support from Viz.AI among other companies. No author is a Viz.ai employee.
AI contribution: The software detected the haematoma and auto-alerted the receiving team, which coordinated stabilization advice and transfer. A CT ordered for severe headache would have shown the bleed regardless, so the AI's contribution is the speed of notification and transfer. Dr Kellner discloses research grant support from Viz.AI among other companies. No author is a Viz.ai employee.

Studies: Not assessed
Study design: Not assessed
Measurement: Not assessed
Setting and sample: Not assessed
Measures: transfer in 101 min vs 199.7 average; mRS 1 at one year
Comparison: the average interhospital transfer time for similar intracerebral hemorrhage cases, taken from a published New York City hospital-system cohort
Results: Reference: 199.7 minutes. Result: 101 minutes.
Additional value from AI: Not assessed
Limitations: Not assessed
Denominators: Not assessed
Materials for replication: Not assessed

Participants: Developer: Viz.ai. Operator: Large urban healthcare system, not named in the report; the city is not stated, and all authors are affiliated with Neurosurgery, Icahn School of Medicine at Mount Sinai, New York.
Jurisdictions: Developer: United States.
Ownership and control: Not assessed
Dependencies: Not assessed
Cross-border connections: Not assessed
Geopolitical implications: Not assessed

Conditions for replication: A receiving center able to operate promptly. Clinicians act on the automated alert rather than waiting for a formal radiology read.
Replication attempts: Not assessed
Later findings: The report ends at the one-year outcome; nothing later was found in the cited source.
Availability: Not assessed
Institutional decision: Not assessed
Grounds: Not assessed
Action and result: Not assessed
Success criterion: Not assessed

Assessed benefits: People. Organizations.
Depth: People: 3. Organizations: 2.
Reasons: People: After a hemorrhage with ventricular extension the patient improved from mRS 4 at one month to mRS 1 at one year. The AI's share is the time saved in transfer, the surgery being the treatment. Organizations: Interhospital transfer took 101 minutes against the system's 199.7-minute average, with the receiving team engaged before the patient left the first hospital.
Observed or intended: Not assessed
Rubric: Not assessed
Assessor and date: Not assessed
Alternative assessments: Not assessed
Fill: The deployer's account

Kind: Not assessed
Related entries: Not assessed
Field: Healthcare - neurosurgery / intracerebral hemorrhage. AI hemorrhage detection with automated transfer notification.
Purpose: Viz ICH Plus is built to detect intracranial hemorrhage on non-contrast CT and automatically notify care and transfer teams. Faster interhospital transfer is its intended function.
Dates: Date basis unassessed: 2025 (precision unassessed). Updated: 21 October 2026.
Stage: Not assessed
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