AI-Powered At-Home Ophthalmological Measurement and Assessment System

Current methods for evaluating proptosis and other eye measurements require in-person hospital visits, which can be inconvenient for patients and limit access to timely assessments. There is a need for a reliable, at-home solution that enables real-time, precise measurements to reduce presurgery visits and facilitate postoperative evaluations remotely.

A healthcare technology company aiming to provide accessible ophthalmological diagnostics through innovative AI-driven solutions for remote patient monitoring and post-surgery evaluation.

• Develop an AI-based system that allows patients to perform ophthalmological assessments at home with high accuracy.
• Reduce the necessity of in-person hospital visits for eye measurements, improving patient convenience and accessibility.
• Enhance measurement precision beyond existing face mesh models, ensuring reliable clinical data.
• Enable real-time assessment and postsurgery evaluation via smartphone and web applications.
• Streamline the assessment process to increase healthcare provider capacity and improve revenue streams.
• Establish a competitive advantage through innovative AI and computer vision technologies.

• AI-generated synthetic facial images for robust model training and data augmentation.
• Autolabeling and preprocessing pipelines for high-quality training datasets.
• Advanced segmentation models capable of identifying eyelids, eyebrows, iris, and sclera with high accuracy.
• Web and smartphone applications optimized for user-friendly patient assessments.
• Real-time measurement calculation and visualization tools within the apps.
• Secure data handling and compliance with healthcare privacy standards.

• AI model training pipelines with synthetic image generation modules
• Data storage and processing systems for secure patient data management
• APIs for seamless integration with health record systems, if applicable
• User authentication and privacy compliance modules

• Scalability to support increasing user load and data volume
• High accuracy in eye feature detection and measurement, surpassing existing face mesh performance
• Real-time processing capabilities within acceptable latency thresholds
• Data security and compliance with healthcare privacy regulations (e.g., HIPAA)
• System availability and reliability to ensure consistent access for users

The deployment of this AI-powered remote ophthalmological assessment platform is expected to significantly improve patient outcomes by enabling accurate, real-time measurements from home. It will reduce the dependency on in-person visits, leading to a more accessible healthcare experience, and increase the capacity of healthcare providers, thereby boosting revenue. Additionally, leveraging advanced AI and synthetic data generation will position the company as a leader in healthcare innovation, offering a scalable solution with competitive advantages.