PULSEGUARD

Multi-event intraoperative early-warning · research prototype

A model that watches all vital signs together and flags 9 types of intraoperative deterioration before they occur, indicating which one and why. Built on public data (VitalDB, 5,151 surgeries) and evaluated on a locked, held-out test set — every figure below is out-of-sample, with limitations stated.

Unified early-warningany deterioration, 5 min ahead — locked held-out test
0.454 AUPRC · 0.849 AUROC
Warning lead timehow early the alarm fires, median
~4.3 min
Alarm precision (calibrated)vs ~0.12 in deployed field systems
0.62–0.71 PPV
Multi-event monitor9 events — says which one is coming
0.74–0.96 AUROC
Cross-hospital, zero-shotSeoul → UC-Irvine, no retraining
0.78–0.80 AUROC
Causal: does low BP cause AKI?mostly confounding — replicated, 2 hospitals
RR 1.77 → 1.07
Stated limitation: intraoperative hypotension is near-unpredictable here — recall ~0.12, shown 7 independent ways. Reported, not omitted.
The monitor below replays real held-out cases. Use the AI toggle to compare the model against the bedside monitor.
Aastik Rajan · Johns Hopkins University
benchmark + code: github.com/AastikRajan/pulseguard
Research prototype — not a medical device, diagnosis, or treatment recommendation.

PULSEGUARD

Perioperative Early-Warning Monitor
ECG II render · visualization aid
HRbpm
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ART render · visualization aid
ARTmmHg
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PLETH render · visualization aid
SpO₂%
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ETCO₂mmHg
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RR/min
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BISidx
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TEMP°C
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VENTILATORPCV
--PIP
--PEEP
--TV ml
--MV L
CASE TIMELINE · SpO₂ vs AI RISK — lead-time reveal
SpO₂ AI risk AI alarm Event onset
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