Evidence is the only proof that matters.
The Automate Medical platform is built on published methodology, continuous validation, and transparency — including the subgroups we don't perform as well in. The numbers, the methods, and the limitations live here.
How we validate the platform.
Every Automate Medical model version goes through a five-stage validation pipeline before release, and continuous monitoring in production.
Cohort definition
De-identified, multi-site, demographically representative cohorts. Inclusion / exclusion criteria, demographics, and clinical context documented per study.
Held-out evaluation
Random train / validation / test splits, with a final held-out test set never seen during model development. The test set is locked and re-used only for full-version evaluations.
Subgroup analysis
Performance broken down by sex, age band, race / ethnicity, and primary comorbidity. A 95% overall sensitivity that masks 78% in a subgroup is a design deficiency, not a footnote.
Independent review
Pre-release review by the CMO and at least one external clinical advisor. Reviewer notes are archived.
Continuous monitoring
Production drift monitoring on every release. False-positive rate, anomaly lead time, and CSAT tracked weekly. Anomalous drift triggers a review.
How we handle the evidence.
Publish every metric we claim
If a number is on a slide or a webpage, it has a methodology, a denominator, and a date. The full evidence is in this section.
Disclose subgroup performance
A 95% overall sensitivity that masks a 78% sensitivity in a specific subgroup is a design deficiency, not a footnote. We publish the breakdown.
Continuous validation
Models are re-validated on every release. Drift is monitored in production. Audit log on every inference.
Independent review
We co-publish with academic and clinical partners. Submissions to peer-reviewed venues are open; reviewer reports are published when permitted.
Co-publish, co-validate.
Automate Medical partners with academic medical centers and CROs on rigorous validation studies. Reach out to start a conversation.