AI-powered wearable cardiac ultrasound designed to support more consistent, high-quality cardiac imaging workflows.
A precision stabilization approach designed to help hold optimal ultrasound contact across multiple probe sites, with the intent of adapting to patient movement and respiration.
A multi-stage pipeline under development — from raw signal acquisition through noise reduction, anatomical mapping, and diagnostic inference — intended to support cardiac frame analysis at clinical workflow speeds.
A hands-free wearable form factor designed to support extended monitoring sessions, with the goal of capturing cardiac data across standard echocardiographic views without operator fatigue.
Structured report generation under development, designed for eventual integration with hospital EHR workflows and cardiologist review — part of the broader diagnostic pathway EchoVest is being built to support.