Ophthalmology Assistant

Overview

An AI-powered clinical tool designed to assist eye care professionals in screening, triaging, and managing vision-related disorders. The system leverages deep learning to analyze fundus images and visual field data, automate diagnosis suggestions, and generate structured, interoperable reports—significantly improving speed and accuracy in ophthalmic decision-making.

Technologies

Next JS

Python

Langchain

PostgreSQL

The Challenges

Chronic care is often fragmented and inefficient. Healthcare providers struggle with:

  1. Scattered Health Records
Patient vitals, labs, and notes are often stored in separate systems, making it difficult to form a cohesive clinical picture.
  2. Inconsistent Assessments
Manual data entry and irregular updates lead to gaps in evaluation and care continuity.
  3. Generic Treatment Plans
Patients receive non-personalized plans that don’t reflect their unique conditions, goals, or nutritional needs.
  4. Poor Progress Tracking
Long-term changes in health metrics like BMI or blood sugar are not systematically logged or evaluated.
  5. Undefined Care Roles
Physicians, dietitians, and patients often operate in silos with unclear accountability and workflow alignment.

Our Unique Approach

1. Platform Overview

  • AI Meal Planning: Automatically creates patient-specific meal plans with full nutrient breakdowns.
  • Centralized Records: Combines vitals, labs, treatment notes, and logs into one accessible system.
  • Structured Workflows: Clearly defines roles for physicians, dietitians, and patients to ensure follow-through.
  • Real-Time Alerts: Flags critical changes like abnormal vitals or missed tasks for timely action.


2. Intelligent Planning System

  • Condition-Based Protocols: Tailors treatment goals (e.g., BMI, fat reduction) using patient biometrics.
  • Metabolic Engine: Calculates energy needs with WHO/EER formulas; adapts as progress is tracked.
  • Precision Structuring: Prescribes macro/micronutrients with dosage accuracy and highlights any nutritional gaps.


3. Real-Time Engagement Tools

  • Unified Dashboard: Displays plan progress and key health insights.
  • Patient Tracker: Logs food, exercise, hydration, and symptoms daily.
  • Secure Messaging: Embeds patient health context in clinician-patient communication.