Co-Developed with Mayo Clinic
“HoloMedX’s approach to surgical instrument and sharps tracking has the potential to reduce manual burden, improve auditability, and help surgical teams maintain focus on what matters most: patient care.”
“This collaboration represents an important step toward real-time surgical spatial intelligence, bringing computer vision and volumetric capture technology into the operating room in a practical, clinically meaningful way.”
Dr. Will Perry, M.B., Ch.B., M.P.H.
Vice Chair (Practice), Department of Surgery
Mayo Clinic
“We are excited to partner with HoloMedX to bring clinically informed computer vision technology into the operating room in a practice-changing way.”
Dr. Cornelius Thiels, D.O., M.B.A.
Surgeon and Chair of Innovation, Department of Surgery
Mayo Clinic
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.