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Cornea_AI_Pentacam / README.md
Fernando Moreno
Updated application for corneal analysis with improved UI/UX and features
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A newer version of the Streamlit SDK is available: 1.42.1

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metadata
title: Cornea AI Pentacam Analyzer
emoji: 👁️
colorFrom: blue
colorTo: indigo
sdk: streamlit
sdk_version: 1.31.0
app_file: app.py
pinned: false

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

Cornea AI Pentacam Analyzer

Advanced corneal analysis and diagnostics tool developed by Dr. Verónica Gómez Calleja, cornea specialist.

Features

  • Comprehensive Pentacam scan analysis
  • Support for multiple file formats (PDF, PNG, JPG, JPEG)
  • Patient history and clinical data management
  • Comparative analysis between timepoints
  • Advanced corneal disease diagnostics including:
    • Keratoconus assessment using ABCD staging
    • Fuchs Endothelial Corneal Dystrophy (FECD) evaluation
    • Subclinical corneal edema detection using Sun criteria

Setup

  1. Install Python 3.8 or higher
  2. Install dependencies:
    pip install -r requirements.txt
  3. Create a .env file with your Google API key:
    GOOGLE_API_KEY=your_api_key_here
  4. Run the application:
    streamlit run app.py

Usage

  1. Enter patient information and clinical history
  2. Upload Pentacam scans (supported formats: PDF, PNG, JPG, JPEG)
  3. Choose between single timepoint analysis or comparison between timepoints
  4. Review the AI-powered analysis results

Note

This tool is designed to assist medical professionals in their analysis and decision-making process. It should not replace professional medical judgment.