Ground Medical AI Answers in Clinical-Trial Data Deterministic Knowledge-Graph Retrieval via MCP
Medical AI depends on users asking the perfect question. Nobsmed expands each query across PICO, then filters to trial evidence that applies to the patient.
P Population · I Intervention · C Comparator · O Outcome
Personalization Precision
“Did the cited evidence’s enrolled population actually apply to this user?”
Ex 1. A statin trial shows LDL reduction — but excluded pregnant women; AI recommends it to a 32-year-old trying to conceive.
Ex 2. A sleep-aid trial reports benefit in adults 18–65 — but excluded patients over 80; AI applies the result to a 92-year-old at high fall risk.
MCP Tool
- Refine on P Population — narrow toward findings whose enrolled population matches the user
- Applicability scoring — structured fit between user state and each trial’s eligibility criteria
- FHIR ingestion — Conditions, Medications, Observations resolved to canonical identifiers
Recall
“Did we surface every relevant piece of evidence for this user?”
Ex 1. A query for “kava + anxiety” returns benefit trials, but misses adverse-event reports of panic episodes in patients with comorbid ADHD.
Ex 2. A user asks about CBT for depression; a narrow query misses CBT trials for PTSD, anxiety, and chronic pain — adjacent conditions where the same intervention is also tested.
MCP Tool
- Expand on I Intervention · C Comparator · O Outcome — via mechanism hubs, condition hubs, and causal links
- Expand to nearby SNOMED CT concepts — sibling and parent conditions where adjacent evidence lives
- Facts extracted from NIH-funded manuscripts, which are not fully available to ChatGPT because of copyright restrictions
Hallucination
“Did the agent cite real papers and summarize them faithfully?”
Ex 1. AI cites the DPP trial for a 47% diabetes-prevention figure — but DPP reported 58%; right paper, wrong number.
Ex 2. AI claims an SSRI trial showed benefit in patients over 75 — but the trial only enrolled adults 18–65; the subgroup result was never measured.
MCP Tool
- Audit each claim with reported clinical study facts and a reproducible query plan
- Citation reconciliation — every cited PMC ID checked against the corpus before the addendum is shown
- Structured slots, not paraphrase — verifiable against original tables and figures, no free-text rewrites to drift from
Want to integrate?
Email ops@nobsmed.com →Prototype in ChatGPT →
Opens the No B.S. Med Custom GPT with your question prefilled. Free ChatGPT account works.
or try one of these: