Verify AI medical claims against real research.
Luma checks AI-generated medical information against published studies, flags claims the evidence doesn’t support, and links directly to the original sources.
Live across every medical specialty, from cardiology and oncology to neurology and beyond, grounding each claim to primary literature.
AI can sound authoritative, and still cite studies that do not exist.
A 2026 analysis in The Lancet identified thousands of fabricated references in published biomedical papers1. Other controlled studies have found that widely used AI models generate both nonexistent citations and serious errors in real ones2.
of GPT-3.5’s citations were fabricated
of GPT-4’s citations were fabricated
of GPT-3.5’s real citations had substantive errors
The danger is that these mistakes do not look like mistakes. The writing sounds polished, the references look credible, and unsupported information can reach a manuscript, report, or medical professional before anyone catches it.
Luma is built to catch it first.
Same question. Two answers.
One shows its work.
Both answers sound confident. Only one shows which claims are supported, links them to real published research, and flags what the evidence cannot verify.
Luma catches what other AIs invent.
Beta-blockers reduce mortality in this population.
PMID 10376614 · confidence 0.94
ACE inhibitors are guideline first-line therapy.
PMID 1463530 · confidence 0.92
Spironolactone reduces mortality (RALES).
PMID 10471456 · confidence 0.91
Ivabradine works via beta-1 adrenergic receptors.
flagged · false mechanism, not supported
First-line therapy includes beta-blockers1, ACE inhibitors2, and mineralocorticoid antagonists3, with ivabradine acting on beta-1 receptors4.
Two of the four citations are fabricated. You cannot tell which from the prose.
Retrieval finds papers. Luma checks the claim.
Finding a related paper does not mean that paper supports the specific claim being made. Luma performs that missing check: it breaks an answer into individual claims, evaluates each one against the published evidence, and flags what it cannot verify.
You don't need another chatbot.
Luma works with the AI tools and products you already use. Check an existing answer, connect Luma to your team's assistant, or build its verification directly into your product.
Check an answer
For medical writers and researchers with a draft in hand.
Paste any AI-generated medical answer. Luma separates it into individual claims, checks them against published research, links supported claims to their sources, and flags what it cannot verify.
Try the demoConnect Luma to your AI
For teams using Claude, ChatGPT, or an internal assistant.
Connect Luma through Model Context Protocol, and your assistant can check medical claims and citations as your team works. Your people keep their existing tools and workflow while Luma provides the evidence check.
Build Luma into your product
For teams developing medical AI products.
Use the Luma API to check a single claim or a complete answer. Luma returns the relevant sources, shows whether the evidence supports the claim, and clearly flags anything it cannot verify, without requiring your team to build its own medical-literature verification system.
Don’t take Luma’s word for it. Open the source.
Every supported claim links directly to published research you can inspect for yourself.