BrainSightAI is an MRI-based platform that enhances the precision of neurological and psychiatric assessments through advanced imaging analysis. By providing detailed insights into brain structure and function, it enables clinicians to make more accurate diagnoses and treatment plans.
Funding
$5.9M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
IGFounders
Product
Problem
Neurological and psychiatric assessments often rely on subjective evaluations and lack precise, quantitative data, hindering accurate diagnoses and effective treatment planning. Traditional MRI analysis methods can be time-consuming and may not reveal subtle but critical details about brain structure and function.
Solution
BrainSightAI offers an MRI-based platform that uses AI-driven connectomics to generate personalized brain maps, providing clinicians and researchers with detailed insights into brain structure and function. The platform automates post-processing of various MRI modalities, including rs-fMRI, fMRI, DTI, and sMRI, reducing manual intervention and standardizing processing steps. By simplifying scientific workflows and accelerating neuroimaging research, BrainSightAI enables more informed surgical planning, potentially increasing precision, and facilitates the study of brain networks for improved patient outcomes. The technology helps in automatic edema corrections, eliminating the need for manual tuning in areas of freewater.
Target Audience
The primary audience includes neurosurgeons, psychiatrists, neurologists, and clinical researchers seeking technology-driven healthcare solutions for enhanced brain mapping and analysis.
Features
- AI-based connectomics for generating personalized brain maps from MRI data
- Automated post-processing of rs-fMRI, fMRI, DTI, and sMRI scans
- Support for clinical and research applications
- Tools for informed surgical planning with increased precision
- Standardized processing steps to reduce errors in fMRI signal processing
- Automatic edema corrections for accurate analysis in areas with freewater