Subarachnoid hemorrhage (SAH) is only 6–8% of strokes — but accounts for 25% of cerebrovascular deaths.
Just one FDA-approved drug since 1983. The grading scale we still use is from 1980. We can do better.
How AI is rewriting 100 years of subarachnoid hemorrhage care — quantifying brain bleeds in 6.7 seconds with 99.8% accuracy.
Subarachnoid hemorrhage (SAH) is only 6–8% of strokes — but accounts for 25% of cerebrovascular deaths.
Just one FDA-approved drug since 1983. The grading scale we still use is from 1980. We can do better.
The Modified Fisher scale has inter-rater reliability around 0.3 — basically a coin flip.
And once a patient is "Fisher 4," everyone looks the same on paper — even though outcomes vary 10x.
Enter SAHVAI — our SAH Volumetric AI:
The magic number is 10 mL.
SAHV >10 mL → 47.8% poor outcome (mRS 4–6) vs 6.1%.
Our eSAH Score (Age + GCS + SAHV) beats WFNS for mortality — AUC 0.80 vs 0.75. Each point = 2.14x risk.
Why this matters globally:
Brazilian SAH mortality 23.4% vs 13.4% in the US. Time-to-treatment 77.7h vs 4.3h.
The Inverse Care Law is real — and AI is the fastest way to close the gap.
A global network of SAH centers, modeled on the Cooperative Aneurysm Studies — measuring volume, closing outcome gaps, building the next generation of neuroprotective trials.