Free · 30 minutes · no credit card
The AI Research Guide for Clinicians Who Need Accurate Sources.
Most AI tools give you confident answers with no references. That's useless in clinical practice. Perplexity is different — it shows its sources. This guide teaches you how to use it as a fast research layer, how to verify what it returns, and exactly where it still breaks.
Not a clinical decision support tool. Not a replacement for peer review. A guide to using AI as a faster first step in literature research.
Real talk
ChatGPT will confidently cite papers that don't exist. Perplexity shows you the actual source.
Hallucinated citations are a real problem with general-purpose AI tools. Perplexity's design is built around retrieval — it searches, summarises, and shows you where each claim came from. That's a meaningful difference when source quality matters.
This guide shows you how to use that distinction in practice: what queries work, how to assess citation quality, and what still requires direct database search.
What's inside
How to use Perplexity as a fast research layer in clinical work.
How Perplexity retrieves and cites
The technical difference between Perplexity and ChatGPT in plain English. Why one shows sources and the other invents them — and what that means for clinical use.
Queries that return useful results
The structure of a clinical research query that narrows to relevant literature rather than general health content. Condition, population, intervention, timeframe — in that order.
How to verify what it returns
Checking citation accuracy: does the paper exist, does it say what Perplexity claims, is it peer-reviewed, what's the recency. A fast verification checklist for the sources that matter.
Where it fails in clinical contexts
Guideline recency, grey literature gaps, regional formulary differences, rare disease coverage. The known gaps so you know when to go straight to PubMed or UpToDate.
Patient communication drafts
Using AI to draft plain-English summaries for patients — and the verification step before anything patient-facing is generated from AI output.
Which guide to read next
Mapped by your role: Perplexity for Researchers, Claude for Business Owners, AI for Clinicians, and more.
Real prompt from inside the guide
You'll run something like this in the first 10 minutes.
What does recent peer-reviewed literature (2022–2025) say about [condition or intervention] in [patient population]? Please: 1. Summarise the key findings in plain language. 2. Cite each source with author, journal, and year. 3. Note if any source is a guideline, systematic review, or RCT. 4. Flag any area where the evidence is weak or conflicting. Focus on clinical practice implications, not basic science.
That query structure filters toward high-quality sources and makes the verification step faster. The guide explains how to read Perplexity's citations, when to trust them, and what to always check directly.
Who it's for
Clinicians who want AI as a research layer, not a decision oracle.
Physicians, nurses, pharmacists, allied health professionals, residents in training. Anyone who needs to find current evidence quickly and knows that "AI said so" is not a citation.
If you want a faster starting point for literature review — with real references you can verify — this is the tool and the guide.
Who it's not for
Anyone looking for clinical decision support.
Perplexity is a research assistance tool. It does not replace clinical judgment, institutional guidelines, specialist review, or direct database search for high-stakes decisions.
This guide is explicit about that boundary. We don't overstate what AI can do in a clinical setting.
Get it now
Faster research. Verified sources. Less time on literature review.
One email. 30-minute read. A practical guide to the one AI tool that shows its work.
We'll send the PDF immediately. Then occasional notes when something genuinely changes — new tool, big update, real shift. No spam. Unsubscribe in one click anytime.
Mark Reeves — author of all 47 guides
Same person who writes the paid guides writes the free ones. Written and tested in a working business. Operator, not observer.
Already convinced?
Skip the free guide. Grab a bundle.
If you already know AI is real and you're ready to move, the paid bundles get you working in days. Pick your role bundle and get every guide for your job — instantly.