Brainreader Neuroreader Child Page – Blackford Analysis

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Brainreader’s flagship product, Neuroreader®, is an FDA cleared and CE marked software-based assessment tool that can detect abnormal brain patterns in MRI scans.

Visualizes and quantifies atrophies of up to 83 brain volumes from Magnetic Resonance Images (MRI) like the hippocampus, lateral ventricles, and brain lobes in the standard report.
Automated generation of patient reports that clinicians can use as a tool to guide clinical decision-making.
Computes a report of the most important structures in the brain in less than 10 minutes.
The Neuroreader is customizable and can be tailored to the customer’s specific needs.

Provides an estimation of the normal volume for a person with similar demographics (gender, age, and head size).
Longitudinal reports can be plotted over time to detect progression.
Brain volume assessment table with 64 volumes (measured in mL, percentiles, z-score, and more) in the standard report (83 brain volumes in the customizable report).
Brain heat maps visualization tool that shows the percentile values and area/s of concern.
Values and statistics of the Left-Right Asymmetry Index (13 brain structures).
Disease specific reports: Asymmetry and Neurodegenerative reports are available.
Original and segmented 3D images in NIfTI and DICOM formats:
• Combined Classification
• Filtered Combined Labels
• Intracranial
• Exportable JSON values of the results for research purposes

Monitors the effectiveness of treatments and interventions over time. By comparing follow-up scans with baseline measurements, clinicians can evaluate the impact of therapies on brain volume changes.
Objectively analyzes by comparing volumes against large and diversified normative datasets.
Helps clinicians discover and understand early and sensitive biomarkers of neurodegenerative diseases.
Eliminates bias and subjectivity and gives an answer to the exact degree of atrophy.
Neuroreader® reduces read times from approximately 24 to 10 minutes, which ultimately means 14 minutes per scan. (1)