physiology
dataset-CoT-Physiology-114physiology-mcqa-8kThis dataset is a subset of MedMCQA
ffr-physiology-prediction-coherence-baseline-mapping-v0.1
Goal
Define the baseline coherencebetween AI-derived FFR predictionsand real physiological signals.
Signals include:
myocardial perfusion
wall motion
stress test results
vital signs
This dataset establisheswhat physiologically plausible alignmentlooks like.
Without this baselineimplausibility cannot be detected.
Required output
The model must provide:
physiological_coherence_score
interpretation of alignment error
baseline_label
Why this matters… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/ffr-physiology-prediction-coherence-baseline-mapping-v0.1.ffr-physiology-conflict-routing-v0.1Goal
Given a physiology conflictroute the correct next step.
This is not about proving the AI wrong.It is about preventing a wrong workflow action.
Inputs
AI-derived FFR
perfusion and wall motion signals
stress testing result
vital signs
plausibility decay outputs
Required outputs
conflict_subgroup
predicted_implausibility_risk
intervention_route
fallback_protocol
confidence_score
Routes
Examples:
continue (no conflict)
confirm with stress imaging
manual cardiology escalation
route to… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/ffr-physiology-conflict-routing-v0.1.