FDA & Peer-Reviewed Sources — How We Verify Every Claim

At AIHealthTech.io, every claim is tied to a primary source. Our editorial workflow requires three gates before publication: (1) a regulatory-body citation where applicable — the FDA AI/ML device tracker, EMA alerts, or equivalent; (2) a PubMed or peer-reviewed study reference for any clinical-efficacy statement; (3) a verifiable industry statistic from sources like Grand View Research, CB Insights, or Rock Health reports.

We link every source inline. No claim is asserted on internal authority alone. When a study is pre-print or limited, we flag it. When a vendor release conflicts with independent data, we report the conflict — not the release.

This standard slows us down. We publish fewer pieces than vendor-press aggregators. That is the point. In a domain where algorithmic decisions affect clinical outcomes, sourcing rigor is not optional.

What you will not find here: hype-cycle coverage of unreleased products, paid placements disguised as editorial, or outcome claims without linked studies.

Questions about a specific claim? Every article has an author byline and contact. Reach out.