From publication to interactive tool. Same day.
Medical research is published in a format designed in the 1960s. Static tables. Flat PDFs. Data locked behind paywalls, read by specialists, invisible to the patients it affects most.
LiveEvidence transforms peer-reviewed publications into interactive, explorable tools using AI. Same data. Same rigor. Now alive.
We spend years collecting data, months analyzing it, and weeks writing it up. Then we publish it in a static PDF and wonder why evidence-to-practice gaps persist.
Clinicians scan the abstract. Patients never see it. The data that directly affects care decisions is locked in a format that discourages exploration.
A journal article is a photograph of data. You see what the authors chose to frame. Nothing more.
The paper published February 19, 2026. By February 24, the data was live as an interactive explorer. Clinicians can toggle racial and ethnic groups, compare indexed trends, and watch normal weight fall below the 50% threshold group by group.
The study had six figures, two tables, and 36 references. The tool has the same data with five interactive views, hover tooltips, group filtering, and five-language support. One HTML file. No server. No stored data. Privacy by design.
— Amos Grünebaum, MD
The same peer-reviewed data, made interactive.
AI as craftsman, not as source. The evidence comes from real research. The AI builds the tool.
A single HTML file. No server, no database, no stored patient data. Privacy by design.
Accessible to clinicians and patients. Not locked behind credentials or jargon.
AI-generated evidence. Every number traces to a peer-reviewed publication.
A replacement for the journal article. It is a companion to it.
A startup, a product, or a subscription. It is a methodology.
Complicated. One physician and an AI can do this in hours, not months.