CardioVis AI Copilot
Intelligent Decision Support
Turn complex signals into confident next actions
Turn complex signals into confident next actions
CardioVis fuses workflow, hazard, and navigation outputs into contextual guidance that is timely, prioritized, and readable for the whole OR team.
Multiple AI modules contribute to one shared state model.
Safety-critical suggestions are surfaced first and kept concise.
Surgeon and support staff see aligned recommendations in real time.
Intelligent Decision Support sits at the apex of the CardioVis AI stack. It consumes the outputs of every other module and synthesizes them into a single, contextually rich recommendation stream.
Provides the current surgical phase and predicted next step, establishing the procedural context within which all other signals are interpreted.
Supplies real-time hazard classifications, proximity scores, and active alert states that the decision engine uses to prioritize safety-critical recommendations.
Feeds instrument pose data, deviation scores, and alignment vectors into the context model, enabling recommendations that account for real-time motion quality.
Historical performance data and skill-progression profiles personalise recommendations, adapting guidance intensity to the individual surgeon's experience level.
Guidance is scoped to phase context and sorted by urgency so teams can act quickly without overload.
Corrective actions when hazard scores cross thresholds.
Phase-matched verification prompts at key transitions.
Pacing suggestions when step duration drifts from expected range.
Context-aware options when anatomy or workflow diverges from plan.
Upcoming instrument suggestions for smoother handoffs.
Quiet reinforcement when motion quality is within expert range.