01Vision Model
AI Observation
The vision model extracts only what is objectively visible in the image.
01 · Surface
Visual observation
A wound is more than what you can see.
Its surface tells one story. Its depth tells the rest.
Epitello · Wound intelligence
A wound is more than an image.
Observe with AI. Assess with clinicians. Decide with structured clinical intelligence.
Product Overview
A Smarter Workflow for Wound Care
Wound care extends beyond analyzing a single image. Our platform thoughtfully separates three distinct operational layers:
02Clinician Input
Clinician Assessment
The clinician documents patient history, lab values, and examination findings that require clinical judgment.
03Clinical Rules
Structured Clinical Logic
The system applies verified clinical rules and structured knowledge to generate actionable guidance.
This design safeguards the boundaries between visual observations, clinician expertise, and logical clinical inference.
Capabilities
Built Around the Real Wound-Care Workflow
Each capability connects to the next — from the first patient record to continuous monitoring — as one coherent clinical pathway.
01
Comprehensive Patient Records
Create structured digital patient records to track healing progress over time. Document medical history, prior visits, and critical laboratory test results alongside visual data for a holistic patient view.
02
Structured Visual Assessment
Automated visual feature extraction including tissue composition, necrosis, slough, granulation, wound-edge characteristics, image quality, and observation confidence.
03
Clinical Context Matters
Streamlined data entry for observations that cannot be captured via image alone, such as infection markers, perfusion, exudate levels, Charcot status, and bone/tendon exposure.
04
Rules-Based Clinical Reasoning
Unifies visual features, lab results, and clinician inputs into a structured logic engine executing verified clinical decision pathways.
05
Structured Treatment Guidance
Provides predefined care pathway options, dressing selection recommendations, and associated clinical rationale.
06
Targeted Debridement Logic
Evaluates tissue status and clinical inputs to suggest debridement pathways.
Callus alone does not trigger mechanical or sharp debridement recommendations.
07
Continuous Monitoring
Generates continuous monitoring schedules, follow-up timelines, and treatment change recommendations derived from clinical rules.
FAQ
Frequently Asked Questions
Clear answers about what Epitello does, and just as importantly, what it does not.
Epitello's AI performs visual observation of wound images — extracting structured features such as tissue composition, wound-edge characteristics, image quality, and observation confidence. It does not diagnose or make clinical decisions. Assessment and clinical judgment remain with the clinician.
No. Epitello is an AI-assisted decision-support system. It structures and surfaces information; it does not replace clinical assessment or provide a diagnosis. All critical clinical variables stay under the clinician's control.
Epitello combines high-resolution wound images with structured clinical context — patient history, laboratory results, and clinician-entered observations such as infection markers, perfusion, exudate, Charcot status, and bone/tendon exposure.
If an image is flagged as low quality (POOR) or low confidence, automatic processing pauses. The system requests clinician review or re-capture rather than producing a questionable structured output.
Epitello is developed by IHS — Innovative HealthTech Systems, bringing together wound-care clinicians, AI engineers, and decision-science specialists.
Epitello is designed around data protection and clinical governance. Patient data is handled under appropriate controls, and the platform keeps every recommendation traceable to its source inputs.
Get started
Start Using Smarter Wound Care
Structure wound assessments, streamline patient records and lab data into a unified workflow, and leverage evidence-based clinical logic.
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