Three weeks ago, you classified classical low-flow, low-gradient aortic stenosis correctly, but treated the low gradient as evidence against severe obstruction. Build the causal chain from low stroke volume to a deceptively low gradient.
A model of medicine. A model of how you think.
Opsonize is building a personalized learning engine that represents medicine as a source-linked knowledge graph, estimates how each learner’s understanding changes, and coordinates adaptive MCQs with Opsy mentoring.
Every answer, confidence signal, explanation, counterfactual, and revisit becomes observable learning evidence—not just another completion event.
Personalized knowledge graphs · Adaptive MCQs · Longitudinal memory · Opsy mentoring
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Low stroke volume lowers transvalvular flow and velocity. Because gradient depends strongly on velocity, the measured gradient can remain low even when the valve opening is fixed and small.
Good. Today, stroke volume rises 26% with dobutamine, the mean gradient reaches 43 mmHg, and AVA remains 0.82 cm². What changed—and what did not?
Learner-model update
Strengthened flow → gradient
Still fragile valve opening under stress
Next probe preserved-EF low flow
A model of medicine. A model of the learner. One updating loop.
Medicine is not a flat syllabus. Opsonize is being built around typed relationships between mechanisms, findings, investigations, decisions, exceptions, and consequences—and around the incomplete version of that network carried by each learner.
Learner
state model
Represent
Typed concepts, dependencies, mechanisms, and provenance.
Observe
Answers, confidence, explanations, transfer, and time.
Infer
Estimate what is secure, fragile, confounded, or unobserved.
Select
Choose an MCQ, counterexample, retrieval, or Opsy probe.
Clinical knowledge graph
Concepts become typed nodes; prerequisite, causal, discriminative, and transfer relationships become explicit edges with specialty context and provenance.
Learner-state estimation
Answers, confidence, learner-authored explanations, hint use, transfer, and time since retrieval provide different kinds of evidence—not one flattened score.
Adaptive teaching policy
The next action is selected to repair a prerequisite, resolve model uncertainty, test transfer, or revisit a decaying connection.
Longitudinal memory
The graph is designed to carry learning evidence across exams, residency, clinical practice, and superspecialty depth instead of resetting at each stage.
A model of what you know—not just what you completed.
Opsonize represents medical knowledge as concepts, dependencies, mechanisms, evidence, and uncertainty. Every answer, explanation, and revisit can update the learner model.
Interactive product model · synthetic educational case · not patient-specific clinical guidance
Resting echo
AVA 0.80 cm²
Vmax 3.2 m/s
Mean gradient 28 mmHg
LVEF 35%
SVi 29 mL/m²
- 01MCQ responseAnswer + confidence recorded
- 02Explanation traceFlow dependence explained
- 03Graph updateEdge strengthened; uncertainty preserved
- 04Next interventionCounterfactual selected for transfer
Keep the MCQs. Change what they can see.
A distractor can identify a misconception. Confidence can reveal fragile knowledge behind a correct answer. A counterfactual can distinguish recall from reasoning. Every response changes what comes next.
A mentor that remembers where the reasoning failed.
Opsy is being designed to read the learner’s current graph, recall prior learning evidence, and choose a Socratic probe, concise explanation, counterfactual case, diagram, or retrieval prompt for the unresolved connection.
Read the graph
Begin with the concepts, edges, misconceptions, and unanswered transfer questions already visible in the learner model.
Probe mechanism
Ask for the causal chain—not another label—when a correct answer is supported by fragile reasoning.
Test counterfactuals
Change one variable while holding the target construct steady to separate memorized patterns from transferable understanding.
Carry memory forward
Resume from the precise distinction that remained fragile—even when the learner returns weeks later or at a deeper specialty level.
Illustrative product model — graph-aware mentoring is in development.
Longitudinal mentoring trace
Opsy · voice + text
Remembered evidence
Correct phenotype classification · low confidence · one persistent shortcut: “low gradient means non-severe”
Three weeks ago, you recognized classical low-flow, low-gradient AS, but treated the low gradient as evidence against severe obstruction. Today I’m not asking for a label. Build the causal chain from low stroke volume to a deceptively low gradient.
Low stroke volume reduces transvalvular flow and velocity. Because pressure gradient depends strongly on velocity, the measured gradient can remain low even when the effective valve opening is fixed and small.
Good. Which resting measurements make that explanation relevant here rather than theoretical—and what technical checks still gate the interpretation?
SVi is 29 mL/m² and LVEF is 35%, after checking LVOT measurement and Doppler alignment. With dobutamine, flow rises, the gradient reaches 43 mmHg, and AVA remains 0.82 cm².
Exactly. Flow and velocity changed; effective valve area did not. I would strengthen the flow-to-gradient and DSE-to-severity edges, but leave the idea fragile until you detect low flow despite preserved EF.
Graph edges updatedFlow → velocity → gradient · DSE → severity
Next transfer testPreserved-EF low flow without naming the phenotype
One learning relationship. Every stage of medicine.
The questions change as a medical career advances. The need for clear thinking does not.
Medical school
Build strong foundations and understand how concepts connect before complexity compounds.
Entrance & licensing
Turn knowledge into recall, reasoning, and exam-ready judgment across Indian and global pathways.
Residency & clinical practice
Close gaps, revisit difficult topics, and connect theory with the context of real clinical work.
DM/MCh & superspecialty
Interrogate complex ideas at the depth advanced and subspecialist practice demands.
Built in India, for medicine everywhere.
Different training systems. Different examinations. Different stages of practice. One lifelong need to keep learning well. We’re building locally with a global view—from first principles, not as another coaching layer or content feed.
Help shape the next way medicine learns.
Join early access and tell us what you’re learning toward. We’ll share product updates and invite selected users to try early mentoring experiences with Opsy as they become available.
Designed for education—not a substitute for clinical judgment or patient care.