AI-Powered Retinal Screening
Revolutionizing Remote Ophthalmology with AI-PORAS
Our AI-PORAS platform is transforming retinal anomaly screening across 207 medical institutions in 29 provinces, delivering expert-level accuracy and critical insights for healthcare decision-making.
Quantifying the Impact of AI in Healthcare
AI-PORAS delivers tangible benefits, from enhancing diagnostic efficiency to providing critical data for tailored treatment plans and resource allocation.
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Average Accuracy
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Medical Institutions
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Patients Diagnosed
Deep Analysis & Enterprise Applications
Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.
The AI-PORAS model achieved an average accuracy of 93.16% and an AUC of 93.64% across 15 retinal anomalies, matching attending ophthalmologist performance. It was trained and validated on over 165,384 eyes and 3.5 million OCT B-scan slices.
Deployed across 207 medical institutions in 29 provinces, AI-PORAS has remotely diagnosed 116,717 patients, significantly enhancing diagnostic efficiency in underserved rural areas. Statistical analysis provides crucial guidance for healthcare decision-making.
The system utilizes a Faster R-CNN-based architecture with an innovative domain adaptation framework (BV-DA-CNN) to handle variations across different OCT scanners and evolving disease categories. It detects 15 retinal anomalies from OCT images.
93.16%
Average Accuracy Across 15 Retinal Anomalies
Enterprise Process Flow
Capture OCT Images
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Transfer Data to Cloud Server
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AI-Assisted Diagnosis (OCT-AI)
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Expert Team Review & Confirmation
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Diagnostic Results to Terminals
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Big Data Analysis & Insights
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Case Study: Rural Clinic Deployment
A rural clinic in Sichuan province previously faced a 3-month backlog for ophthalmology referrals due to specialist shortages. After deploying AI-PORAS, screening times were reduced by 90%, enabling early detection of conditions like Diabetic Retinopathy in over 500 previously undiagnosed patients within the first six months. This dramatically improved patient outcomes and resource allocation. The platform’s ability to handle low-quality images and adapt to different OCT scanners proved critical for success in this challenging environment.
Calculate Your Potential ROI
Estimate the significant time and cost savings AI-PORAS could bring to your organization. Adjust the parameters to reflect your specific operational context.
Annual Cost Savings
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Annual Hours Reclaimed
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Your AI-PORAS Implementation Roadmap
We guide you through a structured, transparent process to integrate AI-PORAS seamlessly into your clinical workflow, ensuring maximum impact with minimal disruption.
Phase 1: Needs Assessment & Customization
Collaborate to define your specific requirements, current infrastructure, and patient population. We tailor AI-PORAS to integrate with your existing systems and data.
Phase 2: Platform Deployment & Integration
Our team handles the secure deployment of the AI-PORAS cloud platform and integration with your OCT scanners, ensuring data privacy and system compatibility.
Phase 3: Training & Pilot Program
Comprehensive training for your medical staff on AI-PORAS operation and interpretation. We initiate a pilot program to fine-tune workflows and gather feedback.
Phase 4: Full Rollout & Continuous Optimization
Full-scale implementation across your institution. We provide ongoing support, performance monitoring, and updates to ensure peak efficiency and adapt to evolving needs.
Ready to Transform Your Ophthalmic Diagnostics?
Join leading institutions leveraging AI-PORAS for enhanced accuracy, efficiency, and patient care. Schedule a personalized demo to see how our platform can benefit your practice.
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