RYCO AI
The AI Cytologist in Your Bronchoscopy Suite
Rapid Reads. In-Lesion Clarity.
AI-powered intraoperative cytology evaluation for robotic assisted bronchoscopy and EBUS-TBNA. Instant specimen adequacy confirmation — without a cytopathologist in the room.
How RYCO AI Works
Three steps. Seconds to verdict. No cytopathologist required.
Prepare Slide
Rapid smear prep with Diff-Quik stain (~1 min). Standard ROSE preparation.
Scan Slide
Upload from any digital microscope or use Live Microscope Mode for real-time capture.
Read Verdict
RYCO AI identifies cell types and delivers two simultaneous verdicts: location (IN LESION / NOT IN LESION) and specimen adequacy (Adequate / Inadequate).
Dual Procedure Modes
Robotic Assisted Bronchoscopy (IN LESION) and EBUS-TBNA (IN NODE) with separate AI logic for each.
Live Microscope Mode — Primary
Connect a USB microscope camera and RYCO reads directly from the live feed. No file export. Reads the slide as you look through the scope.
14+ Cell Types
Bronchial epithelium, alveolar macrophages, lymphocytes, atypical cells, malignant patterns and more.
Seconds to Result
Optimized for OR speed. RYCO reads the slide in 15–20 seconds. Total time from stained slide to verdict: under 60 seconds..
No PHI Collected
De-identified slide images only. No patient identifiers stored or transmitted.
Multi-Hospital Access
Institutional login system with per-hospital data isolation and admin dashboard.
What Makes RYCO AI Different
Not “better AI” — a fundamentally different approach to intraoperative cytology.
Purpose-Built for One Clinical Question
RYCO AI does one thing: “Is this specimen adequate, and am I in the right location?” That narrow focus makes it faster and more actionable than tools that try to diagnose, classify, and stage.
It Knows the Procedure Context
Two separate modes — Robotic Assisted Bronchoscopy and EBUS-TBNA — each with its own adequacy criteria. A generic AI doesn’t know the difference. RYCO AI does.
Designed for the OR, Not the Lab
Other cytology AI tools process scanned slides after the procedure. RYCO AI is built for real-time intraoperative use: live camera feed, verdict in 15–20 seconds on any laptop or tablet.
It Speaks the Language of the OR
RYCO AI doesn’t return a pathology report. It says: “You’re in the lesion” or “You’re not there yet — reposition.” Direct, immediate, actionable.
The Real Differentiator
There is no other tool on the market that does what RYCO AI does.
Intraoperative, real-time, dual-mode cytology adequacy confirmation for robotic assisted bronchoscopy and EBUS-TBNA — accessible from any device, without a cytopathologist in the room. The competition is not another AI tool. The competition is having a cytotech in the room — which most programs cannot afford, cannot schedule, or simply do not have. RYCO AI replaces that gap entirely.
Ready to bring RYCO AI to your bronchoscopy program?
We are currently accepting a limited number of institutional pilot partners. Contact us to discuss an arrangement tailored to your program.
RYCO AI vs. Generic AI
Anyone can upload a slide to ChatGPT and get a paragraph. That's a parlor trick. RYCO AI is a trained pulmonary cytologist that happens to run on a computer.
Generic AI (ChatGPT, etc.)
Returns a paragraph — not a clinical verdict
No procedure context — doesn't know RAB vs. EBUS
No structured output — confidence scores, cell types, flags
No adequacy criteria — doesn't know what 'adequate for ROSE' means
Uploads to external servers — HIPAA risk
No history, no QI tracking, no case log
Built for everything — specialized for nothing
RYCO AI — Pulmonary Specialist
Returns IN LESION / NOT IN LESION — one clear verdict
Separate AI logic for RAB and EBUS-TBNA procedures
14+ cell types identified with confidence scores and atypical flags
Trained on ROSE adequacy criteria for pulmonary cytology
De-identified processing — no PHI, no HIPAA risk
Full QI case log, history, analytics, CSV export
Built for one thing: the bronchoscopy suite
RYCO AI is not a general AI that reads slides. It is a specialized intraoperative pulmonary cytologist — trained on pulmonary cytology, built for the bronchoscopy suite, and purpose-designed for the one question that matters in the room: "Is this specimen adequate?"
The Science Is Clear — ROSE Works
The barrier to intraoperative cytology isn’t clinical efficacy — it’s access. Current peer-reviewed evidence confirms ROSE significantly improves specimen adequacy and diagnostic yield in bronchoscopic procedures.
Concordance with final pathology in robotic bronchoscopy
Ali et al., J Thoracic Disease, 2026
Accuracy distinguishing malignant from benign (peripheral lesions)
Yan & Jin et al., Frontiers in Oncology, 2025
EBUS-TBNA adequacy rate with ROSE (specificity 100%)
Szűcs et al., Pathology & Oncology Research, 2026
“The presence of a cytopathologist at the time of sampling has been shown to improve diagnostic yield by assessing adequacy. However, due to increasing workload, this is rarely feasible in routine practice.”
— Szűcs et al., Pathology & Oncology Research, 2026
Current Supporting Studies
Diagnostic accuracy of ROSE during robotic bronchoscopy
2026Ali MS et al. · Journal of Thoracic Disease
93.9% concordance with final pathology; 75% overall diagnostic yield with ROSE in robotic bronchoscopy
Diagnostic accuracy of ROSE in subtyping lung cancer via bronchoscopic biopsy
2025Yan S, Jin F et al. · Frontiers in Oncology
93.92% overall concordance (κ = 0.87, near-perfect agreement); 95.66% accuracy for peripheral lesions
Sample adequacy in bronchoscopic ROSE: laboratory specialist vs. pathologist
2026Szűcs G et al. · Pathology & Oncology Research
91.3% sensitivity, 100% specificity for adequacy; 100% adequacy rate with EBUS-TBNA
Cost-effectiveness of ROSE during navigational bronchoscopy
2024Dahlberg GJ et al. · CHEST Pulmonary
ROSE increases diagnostic yield during navigational bronchoscopy; availability limited by cost and logistical constraints
RYCO AI brings the clinical benefit of ROSE to every bronchoscopy suite — without requiring a cytopathologist in the room. Learn more about the pilot program →