How steadily and precisely the cannula or instrument tip remains during the critical maneuver.
How fluid the instrument trajectory is, rather than abrupt, jerky, or corrective.
Abrupt or outlier motion events that may alter local delivery dynamics.
Oscillatory motion within defined frequency bands during controlled cannula positioning or delivery.
Supporting measure
Small recovery or repositioning movements around the delivery maneuver.
Together, these measurements characterize how the delivery maneuver unfolds and can be interpreted in the context of anatomy, device, procedure, imaging, safety, and clinical outcome.
DexteraAI measurements can be analyzed against sponsor-defined procedural and clinical endpoints, including reflux, retinotomy behavior, bleb formation, delivery success, procedure-related adverse events, imaging findings, visual outcomes, durability, and rescue-treatment burden.
Retrospective analysis is the current offering; later applications depend on validation and sponsor needs.
Evaluate whether delivery characteristics are associated with sponsor-defined procedural, safety, imaging, or clinical endpoints.
Track whether validated delivery characteristics remain stable across surgeons, sites, cases, and time.
Apply validated procedural biomarkers to help explain variation in efficacy, safety, or durability.
Use validated insights to support onboarding, training, workflow refinement, and post-market monitoring.
Patent-pending AI-enabled surgical video analytics for subretinal therapeutic trials.