About Us
Pioneering the future of AI-powered medical diagnostics through cutting-edge research in deep learning, computer vision, and autonomous agent systems at Kyoto University
Liang ZHAO
Professor
Kyoto University, GSAIS
Position
Professor in AI, Network Science, Algorithm, and Informatics-Centered Multidisciplinary Study at GSAIS
Education
- • Doctor of Informatics - Kyoto University
- • M.E. - Kyoto University
Previous Positions
- • Guest Professor - Karlsruhe Institute of Technology
- • Associate Professor - Kyoto University
- • Senior Lecturer - Kyoto University
- • Assistant Professor - Utsunomiya University
Research Interests
Leadership
Active member in leadership and international student programs at Kyoto University
Rimsa Goperma
PhD Student & Researcher
Kyoto University
Position
PhD Student conducting research in AI-powered medical imaging. AURA was developed as a concept as part of her PhD thesis.
Education
- • Master's Degree - Kyoto University
Research Interests
Specialized in AI-powered medical diagnostics with focus on vision-language models and autonomous agents
Academic Experience
Visiting Scholar - Medical AI Research
Tsinghua University, Beijing
PhD Researcher
Kyoto University, Japan
Experience
Generative AI Intern
Systems Shared, Tokyo
AI research and development
Rojan Basnet
PhD Student & Researcher
Kyoto University
Position
PhD Student specializing in AI and deep learning with focus on medical imaging and autonomous AI systems
Education
- • Master's Degree - Kyoto University
Research Interests
Experience
Generative AI Research Intern
Infosys
6-month internship in AI and software development
Our Mission
To revolutionize ophthalmology through autonomous AI agents that provide accurate, accessible, and instant glaucoma diagnosis. We combine cutting-edge deep learning, multi-agent orchestration, and clinical expertise to save sight and improve lives worldwide.
Our Vision
To become the global standard for AI-powered ophthalmological diagnosis, making advanced glaucoma screening accessible to every corner of the world. We envision a future where preventable blindness is eliminated through early detection and intelligent healthcare.
Future Work
Advancing AURA with next-generation AI technologies and comprehensive clinical integration
Visual Field Test AI
Integration of AI-powered visual field analysis to assess peripheral vision loss and disease progression patterns
OCT-based 3D Modeling
Advanced 3D reconstruction from optical coherence tomography for detailed retinal layer analysis and structural assessment
Multimodal AI Fusion
Comprehensive integration of fundus images, OCT scans, visual field data, and patient demographics for holistic diagnosis
Doctor Feedback Loop
Human-in-the-loop system enabling ophthalmologists to validate, correct, and continuously improve AI predictions through active learning
Longitudinal Analysis
Time-series analysis of patient data to predict disease progression, treatment response, and personalized intervention timing
Enhanced Explainability
Advanced visualization and natural language explanations to help clinicians understand AI reasoning and build trust in automated diagnosis
Federated Learning
Privacy-preserving collaborative learning across multiple hospitals to improve model robustness without sharing sensitive patient data
Mobile Deployment
Edge computing implementation for real-time diagnosis on mobile devices, enabling screening in remote and underserved areas