Viz Subdural+, Viz SUBDURAL PLUS
Viz. ai, inc.
Product Details
Model Identifier
Manufacturer
Viz. ai, inc.
Product
Viz Subdural+, Viz SUBDURAL PLUS
Version
Unknown
Date Cleared
06/10/2025
FDA Submission No.
Category
MIMPS
Model Characteristics
Inclusion Criteria
Non-Contrast Head CT (NCCT) images
Exclusion Criteria
Unknown
Instructions for Use
Not available
Indications for Use
Indication of Use
The Viz Subdural+ (Subdural Plus) device is intended for automatic labeling, visualization and quantification of collections in the subdural space from a set of Non-Contrast Head CT (NCCT) images. The software is intended to automate the current manual process of identifying, labeling and quantifying the volume of collections in the subdural space identified on NCCT images. Viz Subdural + provides volumes from NCCT images acquired at a single time point. The Viz Subdural+ software is intended for labeling subdural collections and reporting the grayscale value of the collection, widest width of the subdural collection, and midline shift. The device output should be reviewed along with the patient's original images by a physician qualified to interpret brain CT images.
Intended User
Physician qualified to interpret brain CT images
Age
Adult
Anatomy
Head
Modality
CT
Output
The device outputs visual overlays of automatically measured subdural collections, reports the total volume and widest width of the subdural collections, and automates the measure of midline shift.
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
Stand-Alone Performance
Standalone Model Performance
Reference Standard (Ground Truth)
Unknown
No. of Cases
203
Age Range (Years)
Unknown
Sex (%)
- Female: Unknown
- Male: Unknown
- Unknown: 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
Output
Unknown
Scanner Manufacturer(s)
Unknown
Scanner Model(s)
Unknown
No. of Sites
2
Model Accuracy
Unknown
Model Sensitivity
Not provided
Model Specificity
Not provided
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
Without contrast
MRI Field Strength
Unknown
Reconstruction Kernel Used
Unknown
Alternative Choices
Alternative Choices
Previous Version(s)
Unknown
Predicate Device(s)
Unknown
Contact Information
Contact Information
Point of Contact Name
Unknown
Email
Unknown