Platform Overview

How EyeGnostics Works

EyeGnostics operates through a Multimodal, Multilingual Diagnostic Loop, synthesizing visual data, structured clinical inputs, and patient history into a unified clinical assessment accessible through both structured workflows and conversational interaction.

Agentic Intelligence Layer

A central Orchestrator Agent coordinates four specialized clinical agents:

Vision Agent

Analyzes anterior segment and retinal images
Detects clinically relevant abnormalities (corneal pathology, cataracts, retinal hemorrhages, optic disc changes)
Performs objective refraction analysis using LiDAR-assisted measurements
Produces language-independent clinical findings

Clinical Intake Agent (Multilingual)

Conducts structured symptom and sign intake in 40+ patient languages
Adapts phrasing to cultural and regional expressions of illness
Translates free-text responses into standardized clinical ontologies
Manages accommodation control protocols for refraction testing

Synthesis Agent

Integrates visual findings and clinical inputs
Generates ranked differential diagnoses
Cross-references global and regional guidelines using Retrieval-Augmented Generation (RAG)
Validates measurement consistency across multiple data sources
Outputs clear reasoning, urgency flags, and recommendations in the clinician’s preferred language

Copilot Agent (Conversational Interface)

Serves as the natural language gateway to all specialist agents
Enables voice and text interaction during clinical workflows
Provides real-time clinical reasoning assistance and educational guidance
Generates documentation, referral letters, and case notes in multiple languages
Maintains full audit trail of all interactions for regulatory compliance

┌─────────────────────────────────────────┐

│ EyeGnostics Copilot (Interface) │

│ “Explain this finding in Spanish” │

└──────────────┬──────────────────────────┘

│

┌──────────────▼──────────────────────────┐

│ Orchestrator Agent (Core) │

│ Routes queries to specialist agents │

└──────────────┬──────────────────────────┘

│

┌──────────┼──────────┼──────────┐

▼ ▼ ▼ ▼

┌────────┐ ┌──────┐ ┌──────────┐ ┌────────┐

│ Vision │ │Intake│ │Synthesis │ │Copilot │

│ Agent │ │Agent │ │ Agent │ │ Agent │

└────────┘ └──────┘ └──────────┘ └────────┘

Mobile Interface — The Clinical Tool

EyeGnostics is designed for real-world clinical environments with three interaction modalities:

Intelligent Image Capture

Computer-vision-assisted guidance helps ensure usable diagnostic images under variable lighting and equipment conditions. LiDAR integration enables precision measurements for pupillary distance and vertex distance calculations.

Multilingual Symptom & Sign Matrix

Fast clinician input combined with patient-friendly guided intake in native languages. Voice-activated copilot allows hands-free data entry during examinations.

Dual-Language Clinical Documentation

Automatically generates clinical notes in both the local language and English—supporting audits, referrals, training, and cross-border collaboration. Copilot can generate specialized documents on demand (referral letters, patient education materials, case summaries).

Conversational Clinical Assistant

The EyeGnostics Copilot provides:

Real-time guidance: Ask clinical questions during examinations via voice or text
Educational support: Step-by-step explanations of differential diagnoses for students
Documentation automation: Generate referral letters, prescriptions, and case notes through natural language commands
Multilingual flexibility: Seamlessly switch between clinician working language and patient native language
Offline capability: Degraded mode using on-device models for basic queries in low-connectivity environments

Agentic Refraction Protocol (Prescription-Grade Vision Testing)

EyeGnostics implements a dual-validation refraction system that combines objective measurements with subjective refinement:

Phase 1: Objective Measurement

LiDAR-Assisted Distance Calibration: Uses iPhone TrueDepth camera for sub-millimeter accuracy
Accommodation Control: Implements fogging technique through guided visual stimuli
Corneal Reflection Analysis: Vision Agent analyzes eye structure to predict refractive error

Phase 2: Subjective Refinement

Voice-Guided Testing: Copilot conducts refraction test in patient’s native language
Consistency Validation: Synthesis Agent flags inconsistent responses indicating fatigue or confusion
Adaptive Protocol: Adjusts testing sequence based on patient’s responses and confidence levels

Phase 3: Prescription Generation

Pupillary Distance (PD): Automated measurement using AR face mapping
Vertex Distance: Calculates adjustment based on expected frame positioning
Final Validation: Cross-checks measurements against population norms and flags outliers for review

Accuracy Target: ±0.25D for sphere and cylinder (surpassing current ±0.50D industry standard)

Why Multilingual Synthetic Intelligence Matters

EyeGnostics does not simply translate medical outputs. It simulates expert clinical judgment across linguistic and cultural contexts, enabling:

Clinical prioritization under uncertainty

Copilot helps clinicians navigate ambiguous cases through guided reasoning

Constraint-aware reasoning

E.g., poor image quality combined with severe symptoms → urgent referral

Bias mitigation through diverse datasets

Training on global clinical patterns, not just Western populations

Cultural interpretation of symptom descriptions

Understanding regional expressions of illness (e.g., “eye is hot” vs. “burning sensation”)

Consistent triage of sight-threatening conditions across settings

Standardized urgency protocols adapted to local resource availability

The Copilot enhances this by providing a natural-language interface that adapts to both the clinician’s expertise level and the patient’s linguistic context—making sophisticated AI accessible to users with varying levels of technical and medical training.