Capture Locally. Review Remotely. Make Better-Informed Eye-Care Decisions.
MyEyesAI is a multimodal clinical decision support and tele-ophthalmology platform designed to extend ophthalmology expertise across hospitals, emergency departments, clinics, and remote-care settings.
The platform brings together ocular images, diagnostic tests, patient history, symptoms, clinical observations, and audio inputs to help care teams assess cases, determine urgency, coordinate specialist review, and guide the appropriate care pathway.
Step 1: Capture
Care teams capture the clinical information needed to evaluate the patient, including:
- Fundus and anterior-segment photographs
- Slit-lamp and smartphone images
- OCT scans and other diagnostic tests
- Visual acuity and intraocular pressure
- Symptoms, medical history, and clinician observations
MyEyesAI supports portable imaging devices, enabling assessment at the bedside, in the emergency department, or at remote locations.
Step 2: Upload
Images, diagnostic data, clinical notes, and recorded observations are securely assembled into a structured case packet.
The case can be submitted through the MyEyesAI platform or integrated with existing clinical, EHR, and telehealth workflows. This gives the reviewing ophthalmologist access to the relevant patient context in one place.
Step 3: Analyze and Review
MyEyesAI analyzes the multimodal case data and assists the clinician or remote ophthalmologist with:
- Image pattern recognition: Identifying anatomical findings and potential abnormalities
- Contextual reasoning: Connecting images with symptoms, history, and clinical observations
- Differential support: Presenting possible conditions for clinician consideration
- Urgency assessment: Helping classify cases as emergent, urgent, or routine
- Longitudinal intelligence: Comparing current findings with previous visits and imaging
The platform supports clinical review and decision-making; it does not replace the judgment of a qualified eye-care professional.
Step 4: Assist
MyEyesAI helps streamline documentation and care coordination by preparing:
- Structured clinical reports
- Findings and differential considerations
- Urgency and triage recommendations
- Referral and consultation summaries
- Patient-friendly and multilingual explanations
- Suggested follow-up and care pathways
AI-generated outputs remain available for clinician review, editing, and approval before they become part of the care plan.
Step 5: Resolve and Follow Up
Based on the clinician’s assessment, the patient can be:
- Treated on-site
- Referred for an urgent ophthalmology consultation
- Scheduled for an outpatient appointment
- Enrolled in ongoing monitoring
- Connected with a remote ophthalmologist through tele-ophthalmology
Voice agents and workflow automation can support scheduling, referral coordination, patient education, medication follow-up, and reminders.
One Platform Supporting the Full Eye-Care Journey
Tele-Ophthalmology
Securely share patient cases with remote ophthalmologists for specialist review, inter-physician consultation, triage, and follow-up.
Multimodal Clinical Decision Support
Bring together ocular images, diagnostic tests, clinical history, symptoms, text, and audio to support a more complete assessment.
Longitudinal Clinical Intelligence
Track changes across visits, compare prior imaging and findings, and provide clinicians with a consolidated view of the patient’s eye-care journey.
Clinical Reports
Generate structured draft reports, consultation summaries, patient reports, medication documentation, examination snapshots, and coding-support information.
Voice Agents
Automate routine patient and provider interactions, including intake, scheduling, reminders, referral coordination, and follow-up communication.
EHR and Workflow Integration
Connect MyEyesAI outputs with EHRs, telehealth platforms, imaging systems, and existing clinical workflows to support documentation and adoption.
Connected and Offline Deployment
Deploy through secure cloud environments or use lightweight offline capabilities in remote clinics, disaster-response settings, and other locations with limited connectivity.