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End-to-End AI System for Glaucoma Diagnosis and Management
Developing and validating an integrated AI system for glaucoma care combining image enhancement, diagnostic capabilities, explainability features, and agentic patient management, with focus on clinical validation across diverse healthcare settings.
Active ResearchStarted: Oct 1, 2024Category: Medical AI
GlaucomaImage EnhancementComputer VisionLLMPatient ManagementExplainable AIClinical ValidationViT
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Research Objectives
- •Develop integrated AI system combining image enhancement, diagnostic tools, and agentic patient management
- •Clinical validation across diverse healthcare settings with international collaboration
- •Implement multimodal explainability features to improve clinician trust and adoption
- •Create framework for AI integration into clinical glaucoma care workflows
Methodology
Dual-path implementation strategy combining generative image enhancement with established diagnostic models, integrated with LLM-powered patient management system. Focus on real-world clinical validation rather than algorithm development.