Aurora: AI-Powered Precision for Brain Tumor Diagnosis
Aurora is ITrakNeuro’s flagship AI platform for brain MRI analysis, designed to empower radiologists and clinicians with fast, reliable, and intuitive diagnostic support. Built on a lightweight AI architecture, Aurora delivers hospital-grade accuracy in identifying and classifying brain tumors, all while remaining effortlessly deployable on standard computers and tablets.
From glioblastoma to metastasized tumors, Aurora offers high generalizability across diverse patient demographics and MRI machines of varying strengths and manufacturers.
Why Aurora?
Lightweight Architecture
Fewer trainable parameters means Aurora is energy-efficient and runs smoothly on everyday clinical hardware.No New Hardware Required
Easily deployable in any clinical setting—Aurora runs on desktops, laptops, and tablets.Built for Generalizability
Trained on diverse data to ensure consistent performance across different MRI machines and patient groups.Designed with Clinicians in Mind
Every feature of Aurora is engineered to enhance workflow, save time, and elevate diagnostic confidence.
Aurora is more than just AI—it's a clinical companion designed for precision, speed, and accessibility.
Key Features
Smart Upload & Case Management
Upload DICOM, JPEG, JPG, or PNG scans with ease. Add patient details, store recent cases, and revisit previous records with a searchable patient database.User-Guided Slice Selection
Choose relevant MRI slices for analysis through an intuitive interface—individually or in batches—to ensure precision input to the AI.AI-Powered Classification
Apply AI models to classify slices such as glioblastoma, metastasis, or non-tumor tissue. Aurora outputs both per-slice predictions and aggregated diagnostic probabilities.Interactive Visualization
Slice-by-slice results appear with color-coded bars, while a carousel view lets you navigate quickly. Cumulative scores offer holistic insights at a glance.Report Generation
Generate comprehensive PDF reports complete with classification results, clinician annotations, and tags for follow-up. Streamline workflows without compromising accuracy.