Getting an autism diagnosis takes years. Families wait while kids miss the window where early support matters most. BrainConnect cuts that wait by analyzing brain scans and flagging signs of ASD in under a second. The hard part isn't the AI — it's making it work across hospitals. Brain scanners at different sites produce slightly different data, and most models fail the moment they see a new scanner. We fixed this by training four models, each blind to one hospital's data, then letting them vote at prediction time. If they agree on a scan none of them trained on, the pattern is real. This hit 78.7% accuracy across 529 unseen patients. The AMD MI300X ran our language model fine-tune 4.5x faster than an A100 — turning raw predictions into plain-English clinical summaries a doctor can actually hand to a family. The system also shows which brain connections drove each prediction on a 3D brain map, so clinicians aren't just trusting a black box. Supports multiple brain atlas formats so it works with however your hospital preprocessed the data. Upload a scan on Hugging Face Spaces, get a verdict in under a second.
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