Elderly ICU mortality, off by 66–168% across three conditions.
Every clinical AI model trained on the published literature inherits this risk-stratification error.
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Ed25519-signed evaluations · OSF pre-registered · MIMIC-IV + eICU-CRD validated
Every clinical AI model trained on the published literature inherits this risk-stratification error.
Read the paper →Surfacing the structural problem in how clinical AI gets trained, not just numeric errors.
Read the paper →These are two of six confirmed findings produced by the platform. All signed, all verifiable, all hash-anchored. See all findings →
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Across MIMIC-IV and eICU-CRD, two independent datasets, observed ICU mortality for elderly MI patients is 21.5%. The commonly cited published estimate is 8.0%. That's not a rounding error. It's a clinical risk stratification failure that shapes bedside decisions and every model trained on the literature.
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