AloHelp
AI-driven software as a medical device for earlier, more objective autism detection.
The problem
Autism is often diagnosed years later than it could be. Behavioral assessments like ADOS-2 are subjective, specialist-limited, and slow, while fewer than half of at-risk children are screened by age 3. The window where early intervention compounds the most gets missed.
What AloHelp does
AloHelp analyzes MRI/fMRI brain imaging together with patient metadata using a multi-branch deep learning model, then returns an autism risk assessment in seconds alongside Grad-CAM visual explanations that show clinicians which brain regions drove the result. It is designed as an objective, reproducible aid to clinical judgment — not a replacement for it.
- Who it's for
- Pediatric neurologists, child psychiatrists, and radiology practices that want an objective neuroimaging-based aid to the autism diagnostic workup.
- What's inside
- Structural & functional MRI analysis · Multi-modal deep learning (3D CNN + ResNet + metadata) · Grad-CAM explainability · HIPAA-aligned cloud architecture · Clinician report + secure API.
How this fits with ReTHINK CNERGY
One product, part of a system.
AloHelp sits inside a broader portfolio of products and advisory work. The same team that built it can help you pick the right combination for where you are — whether that's a DIY subscription, an assisted rollout, or a fuller advisory engagement.
AloHelp · Pre-launch
Clinical partners and pilot sites — we’d like to talk.
AloHelp is pre-launch and pursuing FDA De Novo clearance. If you run a pediatric neurology, child psychiatry, or radiology practice and want to evaluate an MRI-based autism diagnostic aid, reach out.