Mayo Clinic SAHVAI Lab

From Pixels
to Prognosis

How AI is rewriting 100 years of subarachnoid hemorrhage care — quantifying brain bleeds in 6.7 seconds with 99.8% accuracy.

W. David Freeman, MD · Professor of Neurology & Neurosurgery
6.7s
AI segmentation time
99.8%
accuracy vs manual
10 mL
outcome threshold
The Story · 5-Part Thread
1

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.

2

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.

3

Enter SAHVAI — our SAH Volumetric AI:

  • Quantifies bleed in 6.7 sec (vs 60–93 min manual)
  • 99.8% accuracy
  • 3D maps predict where delayed cerebral ischemia will strike
  • 4D tracks blood clearance day-by-day
4

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.

5

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.

$5.6B
Annual U.S. lifetime cost of SAH

Join the SAHVERA Consortium

A global network of SAH centers, modeled on the Cooperative Aneurysm Studies — measuring volume, closing outcome gaps, building the next generation of neuroprotective trials.

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