AI for the Operating Room
Smarter Surgical Safety, Powered by Computer Vision
HoloMedX builds AI systems that detect, track, and audit surgical instruments in real time — preventing retained surgical items and creating an immutable compliance record for every procedure.
The Problem We Solve
Retained Surgical Items (RSIs) remain one of the most preventable — yet persistent — patient safety failures in surgery.
1 in 5,500
surgeries result in a retained item
62–82%
of RSI events occur when manual counts were documented as "correct"
10–15%
error rate in manual sponge counting
See What AI Sees
Drag the slider to compare a standard surgical view with Argus-1 CV's AI-enhanced instrument detection overlay.
Standard View
Detected
6/6
All instruments accounted
Argus-1 — AI Enhanced
How Argus-1 Works
A three-stage AI safety layer that captures, detects, and audits every surgical instrument in real time.
Capture
Standard OR camera captures the surgical field. No specialized hardware required.
Audit & Alert
Every detection logged with timestamps and images. Count discrepancies trigger configurable alerts.
Detect & Count
Deep learning models classify every instrument in real-time with per-item confidence scores. Sub-100ms inference.
Capture
Standard OR camera captures the surgical field. No specialized hardware required.
Detect & Count
Deep learning models classify every instrument in real-time with per-item confidence scores. Sub-100ms inference.
Audit & Alert
Every detection logged with timestamps and images. Count discrepancies trigger configurable alerts.
Under the Hood
Real-time detection powered by production-grade infrastructure — see the system diagnostics and the interface surgical teams actually use.
| Instrument | Expected | Detected | Status | Last Seen | Confidence |
|---|---|---|---|---|---|
| Hemostat, Curved | 3 | 3 | ✓ | 8s ago | 97.2% |
| Sponge, 4×4 Radiopaque | 8 | 8 | ✓ | 12s ago | 99.1% |
| Needle Holder | 2 | 2 | ✓ | 3s ago | 95.8% |
| Scissors, Mayo Curved | 1 | 1 | ✓ | 45s ago | 98.3% |
| Retractor, Army-Navy | 2 | 2 | ✓ | 1m ago | 96.5% |
| Scalpel Handle #3 | 1 | 1 | ✓ | 22s ago | 97.8% |
| Towel Clip | 4 | 4 | ✓ | 15s ago | 94.2% |
| Suture Needle, Tapered | 4 | 4 | ✓ | 5s ago | 98.7% |
Built on Deep Learning
Our systems leverage state-of-the-art vision models purpose-built for the surgical domain.
Real-Time Detection
Sub-100 ms inference enables live instrument tracking without disrupting surgical workflows.
Domain-Adapted Models
Foundation models fine-tuned on tens of thousands of surgical instrument images across 35+ classes.
On-Premise First
Designed for on-premise deployment so patient data never leaves the hospital network.
Audit-Grade Logging
Every detection is timestamped with confidence scores, creating an immutable medicolegal record.
By the Numbers
0+
Instrument classes detected
0%
Detection accuracy (controlled)
<0ms
Inference latency
0
Training images curated
Built with technology from
Ready to Eliminate Retained Surgical Items?
Partner with us on a pilot program or schedule a demo to see Argus-1 in action.