CEREBRA provides an AI‑powered platform that automatically analyzes non‑contrast CT scans to detect ischemic and hemorrhagic stroke, calculate ASPECTS scores, and generate structured reports within ten minutes. The results are delivered through a secure web dashboard and native mobile apps, with HIPAA‑compliant data exchange and EHR integration for rapid clinician decision‑making.
Funding
Funding not disclosed
HEFounders
Product
Problem
Stroke diagnosis on non‑contrast CT is limited by the need for highly trained radiologists and the inability of the human eye to reliably detect early cytotoxic edema, often resulting in delayed treatment beyond the 4.5‑hour therapeutic window. Additionally, hospitals lack a unified platform for rapid expert consultation and patient data exchange. These gaps increase diagnostic errors and impede timely intervention.
Solution
CEREBRA delivers an AI‑driven software platform that automatically analyzes CT images to identify ischemic and hemorrhagic stroke signs within ten minutes, enabling clinicians to initiate therapy well within the critical window. The system applies deep‑learning convolutional neural networks trained on annotated DICOM datasets to generate ASPECTS scores and flag emergent lesions. Results are presented through a secure web dashboard and native iOS/Android applications, supporting instant review and decision‑making. Integrated clinical guidelines automate treatment recommendations, reducing reliance on individual expertise. A built‑in data‑exchange ecosystem allows authorized providers to share imaging and reports securely, facilitating remote second‑opinion consultations. The platform operates on a cloud‑based inference engine, ensuring scalability and consistent performance across institutions.
Target Audience
Primary users are radiologists, neurologists, and emergency department physicians in hospitals and dedicated stroke centers that require rapid, reliable CT‑based stroke assessment.
Features
- Convolutional neural network model for automated detection of cytotoxic edema, ischemic core, and hemorrhage on non‑contrast CT scans
- Automatic calculation of ASPECTS score and generation of structured radiology reports in compliance with DICOM standards
- End‑to‑end cloud inference pipeline delivering results in ≤10 minutes per study
- Web‑based clinician dashboard with heat‑map visualizations, lesion segmentation overlays, and trend tracking
- Native iOS and Android mobile apps for bedside or remote access, supporting secure login and role‑based permissions
- Encrypted data exchange layer enabling HIPAA‑compatible sharing of images and reports between hospitals and specialists
- Integration hooks for electronic health record (EHR) systems via HL7/FHIR APIs to streamline workflow
- Continuous model monitoring and automatic updates to incorporate new training data without downtime