How steady and controlled the cannula or instrument tip remains during subretinal delivery.
How fluid the motion is, rather than abrupt, jerky, or corrective.
Abrupt or outlier motion events that may reflect loss of fine control.
Oscillatory motion that may affect controlled cannula positioning or delivery.
Supporting measures
Small recovery or repositioning movements.
DexteraAI measurements can be analyzed against sponsor-defined procedural and clinical outcomes, including reflux, retinotomy behavior, bleb behavior, delivery success, procedure-related adverse events, OCT structural changes, visual outcomes, durability, and rescue-treatment burden.
Four applications spanning pre-pivotal analysis through post-market surgeon quality assurance.
Evaluate whether delivery-performance metrics are associated with sponsor-defined procedural, safety, imaging, or clinical endpoints.
Track whether technical-performance profiles remain stable across surgeons, sites, cases, and time.
Assess whether surgical technical variability may have contributed to efficacy, safety, or durability variability.
Support objective, video-derived feedback for surgeon onboarding, credentialing, retraining, and post-market monitoring.
Patent-pending AI-enabled surgical video analytics for subretinal therapeutic trials.