Our Solution: DigiDx qCX
We present DigiDx qCX, a cutting-edge Explainable AI system for the differential diagnosis of pneumonia (Bacterial, Viral, and Fungal) from chest X-ray images (CXR). Our AI algorithm not only provides accurate diagnoses but also explains the factors influencing its predictions, facilitating quicker therapeutic decision-making.
How It Works
Cloud-Based Radiology Image Management System (IMS)
- Technicians can upload radiology images from any rural hospital or primary care center to our cloud-based IMS.
Explainable AI algorithms
- Using a dataset from Radiance Teleradiology, our AI team develops a differential diagnosis algorithm with gamified additive explanations tailored to the data.
Concordance Study
- A study comparing the sensitivity and specificity of our algorithm against radiologist reviews ensures accuracy.
Validation and Deployment
- Initial deployment on our platform for optimization and validation.
- Subsequent deployment in rural hospitals and scanning centers for workflow validation.
- Once achieving over 90% sensitivity and specificity, large-scale deployment follows.
Target Audience
General practitioners, radiologists, and healthcare workers lacking access to specialized diagnostic tools and expertise.
Individuals facing challenges in accessing advanced healthcare facilities for timely diagnoses.
Those aiming to improve healthcare infrastructure, reduce costs, and enhance the quality of care in rural areas.
Entities focused on improving healthcare accessibility and outcomes in remote and underserved regions.