Viz LVO
Viz. ai, inc.
Product Details
Model Identifier
Manufacturer
Viz. ai, inc.
Product
Viz LVO
Version
Unknown
Date Cleared
10/21/2022
FDA Submission No.
Category
CADt
Model Characteristics
Inclusion Criteria
CTA of brain
Exclusion Criteria
Unknown
Instructions for Use
Not available
Indications for Use
Indication of Use
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 LVOuses an artificial intelligence algorithm to analyze images for findings suggestive of a prespecified clinical condition and to notify an appropriate medical specialist of these findings in parallel to standard of care image interpretation. Identification of suspected findings is not fordiagnostic use beyond notification. Specifically, the device analyzes CT angiogram images of the brain acquired in the acute setting, and sends notifications to a neurovascular specialist that a suspected large vessel occlusion has been identified and recommends review of those images. Images can be previewed through a mobile application.Viz LVO is intended to analyze terminal ICA and MCA-M1 vessels for LVOs. Images that are previewed through the mobile application are compressed and are for informational purposes only and not intended for diagnostic use beyond notification. Notified clinicians are responsible for viewing non-compressed images on a diagnostic viewer and engaging in appropriate patient evaluation and relevant discussion with a treating physician before making care-related decisions or requests. Viz LVOis limited to analysis of imaging data and should not be used in-lieu of full patient evaluation or relied upon to make or confirm diagnosis.
Intended User
Neurovascular Specialist
Age
Adult
Anatomy
Head
Modality
CTA
Output
Notification of suspected large vessel occlusion
Details on Training Data Sets
Details on Training Data Sets
No. of Cases
Unknown
Age Range (Years)
Unknown
Sex (%)
- Female: Unknown
- Male: Unknown
- Unknown: Unknown
Output
Unknown
Race (%)
- White: Unknown
- Black or African American: Unknown
- American Indian or Alaska Native: Unknown
- Asian: Unknown
- Native Hawaiian or Other Pacific Islander: Unknown
- Unknown: Unknown
Ethnicity (%)
- Hispanic or Latino: Unknown
- Not Hispanic or Latino: Unknown
- Unknown: Unknown
Geographic Region (%)
- USA: Unknown
- International: Unknown
- Unknown: Unknown
Scanner Manufacturer(s)
Unknown
Scanner Model(s)
Unknown
Model Performance
Study Type
Performance Testing Type
Unknown
Standalone Model Performance
Reference Standard (Ground Truth)
N/A
No. of Cases
N/A
Age Range (Years)
N/A
Sex (%)
- Female: N/A
- Male: N/A
- Unknown: N/A
Race (%)
- White: N/A
- Black or African American: N/A
- American Indian or Alaska Native: N/A
- Asian: N/A
- Native Hawaiian or Other Pacific Islander: N/A
- Unknown: N/A
Ethnicity (%)
- Hispanic or Latino: N/A
- Not Hispanic or Latino: N/A
- Unknown: N/A
Geographic Region (%)
- USA: N/A
- International: N/A
- Unknown: N/A
Output
N/A
Scanner Manufacturer(s)
N/A
Scanner Model(s)
N/A
No. of Sites
N/A
Model Accuracy
N/A
Model Sensitivity
N/A
Model Specificity
N/A
Reader Study Performance
No. of Readers
N/A
No. of Cases
N/A
No. of Sites
N/A
Output
N/A
Age Range (Years)
N/A
Sex (%)
- Female: N/A
- Male: N/A
- Unknown: N/A
Race (%)
- White: N/A
- Black or African American: N/A
- American Indian or Alaska Native: N/A
- Asian: N/A
- Native Hawaiian or Other Pacific Islander: N/A
- Unknown: N/A
Ethnicity (%)
- Hispanic or Latino: N/A
- Not Hispanic or Latino: N/A
- Unknown: N/A
Geographic Region (%)
- USA: N/A
- International: N/A
- Unknown: N/A
Scanner Manufacturer(s)
N/A
Scanner Model(s)
N/A
Model Accuracy
N/A
Model Sensitivity
N/A
Model Specificity
N/A
Model Limitations, Warnings, & Precautions
Model Limitations, Warnings, & Precautions
Supported Scanner Manufacturer(s)
Unknown
Slice Thickness
Unknown
Contrast Use
Unknown
MRI Field Strength
Unknown
Reconstruction Kernel Used
Unknown
Alternative Choices
Alternative Choices
Previous Version(s)
Unknown
Predicate Device(s)
Contact Information
Contact Information
Point of Contact Name
Unknown
Email
Unknown
Additional Details
Related Use Cases
Unknown