Feynman Clinical Paper Explainer
Feynman explainer for clinical papers: PICO analysis, stat intuition, and figure interpretation.
- Fill in the paper title or abstract and your clinical field.
- Click AI Run — the explainer breaks down the paper in clear, accessible language.
- The explanation appears in the chat — ask follow-up questions about methodology, statistics, or clinical implications.
A comprehensive Feynman-style explainer built around the information needs of clinicians and clinical researchers reading medical papers — randomized controlled trials, cohort studies, meta-analyses, and diagnostic accuracy studies.
The core of this tool is a structured PICO breakdown: Population (who was studied, inclusion and exclusion criteria, demographic characteristics), Intervention (what was tested, dose, duration, adherence), Comparison (active comparator or placebo, co-interventions), and Outcome (primary and secondary endpoints, timing, clinical relevance). This framework, familiar from evidence-based medicine training, is applied rigorously so you can quickly assess whether the study population matches your patients and whether the outcomes measured are the ones that matter in practice.
Beyond PICO, the prompt provides statistical intuition in plain language: what a confidence interval actually tells you versus what a p-value tells you, how to interpret hazard ratios versus risk differences, when NNT is more informative than relative risk reduction, and what the difference between statistical significance and clinical significance is. These explanations use intuitive analogies rather than formulas.
Figure interpretation is a dedicated section: the AI will explain what each major figure or table shows, what the visual encoding means, and what the authors are arguing with that figure — including any rhetorical choices in how the data is presented.
The self-check questions at the end are designed to confirm genuine understanding rather than surface recall. They ask you to restate the main finding in your own words, identify one methodological limitation, and explain what the result means for a specific patient scenario.
This tool is best suited for busy clinicians who want to understand a paper thoroughly — not just its conclusion — and for researchers who want to critically evaluate methodology before citing or applying a study.