Research & Innovation

Advancing the field of AI-powered ophthalmology through groundbreaking research and innovative solutions.

Latest Research

Deep Learning for Early Detection of Diabetic Retinopathy

Our latest research demonstrates 95% accuracy in early detection of diabetic retinopathy using advanced deep learning models.

Published: Feb 2024 Read Paper →

AI-Powered Glaucoma Screening

Novel approach using transformer models achieves state-of-the-art results in automated glaucoma detection and progression monitoring.

Published: Jan 2024 Read Paper →

Machine Learning in Retinal Disease Classification

Comprehensive study on multi-label classification of retinal diseases using ensemble learning techniques.

Published: Dec 2023 Read Paper →

Research Areas

Deep Learning

  • Neural network architectures for medical imaging
  • Transfer learning in ophthalmology
  • Attention mechanisms for disease detection

Computer Vision

  • Advanced image segmentation techniques
  • 3D reconstruction of retinal structures
  • Real-time processing algorithms

Predictive Analytics

  • Disease progression modeling
  • Treatment outcome prediction
  • Risk factor analysis

Research Partners

Academic Partnerships

Leading Research Universities

Collaborating with top universities worldwide to advance AI research in ophthalmology and medical imaging.

Research Institutions

Partnering with specialized research institutions to conduct clinical trials and validate our AI solutions.

Industry Collaboration

Healthcare Providers

Working with leading hospitals and clinics to implement and validate our AI technologies in real-world settings.

Technology Partners

Collaborating with technology companies to enhance our AI capabilities and improve healthcare outcomes.