What stands behind an answer
Every marker, every compound, curated first.
Antelic maintains a curated clinical knowledge base covering the markers it interprets,
the compounds it identifies, the dosing units it displays, and the interactions it flags.
Reference ranges, unit conventions, interaction and pairing rules and compound records
ship with the product as reviewed reference files — not as something a model
remembered. The ambition is complete coverage of everything Antelic speaks about, and it
grows continuously.
When Antelic answers a question, it answers from that base. Where it is reading one of
your own lab results, the interpretation carries the sources behind the ranges it was
judged against, so you can tell reviewed reference material from general knowledge
instead of having to guess which one you are looking at.
And where the published evidence on something genuinely is thin, Antelic tells you that
instead of producing a fluent answer to fill the space. That is the hardest thing to
build into a medical AI and the most valuable thing it can do: an honest the evidence
here is limited is a usable answer. A confident guess is not.
Out of scope, and named here rather than buried in consent text: diagnosis, triage,
ranking one brand against another, and any question whose honest answer is a quantity.