VisionMed provides an AI‑driven procedural intelligence platform called EMMA™ that automatically analyzes live or recorded medical procedure video to produce structured documentation, event timelines, and analytics.
Funding
Funding not disclosed
Founders
Product
Problem
Clinical procedures generate large volumes of video, audio, and device data, yet most of this information remains unstructured and unused. Documentation, quality review, and training rely on manual transcription and analysis, leading to inefficiencies, variability, and increased physician workload.
Solution
VisionMed’s EMMA™ platform applies AI-driven multimodal perception to live or recorded procedural video, automatically producing structured documentation, event timelines, and analytics. The system integrates seamlessly with existing clinical workflows and OEM ecosystems, preserving context across the entire case to identify phases, events, and transitions. Outputs are clinician‑reviewed for accuracy and can be used for quality assurance, reporting, and training without adding after‑hours work. EMMA™ supports edge, cloud, or hybrid deployment and is device‑agnostic, enabling scalable adoption across specialties.
Target Audience
Primary customers are hospitals, health systems, and specialty clinics that perform video‑recorded procedures and need automated documentation and quality analytics, as well as medical device manufacturers seeking integrated procedural intelligence.
Features
- Continuous analysis of procedural video (endoscopy, arthroscopy, robotic systems, in‑room cameras) with optional audio and device metadata
- Automated generation of draft procedural reports, timestamped event timelines, and workflow analytics
- Multimodal perception that maintains context throughout the case to accurately detect phases and transitions
- Device‑agnostic integration with existing video sources and clinical systems via lightweight edge or hybrid architecture
- Clinician‑reviewed outputs ensuring regulatory‑aligned accuracy for quality assurance and training
- Scalable enterprise deployment supporting cloud, edge, or hybrid configurations