COVRIAD employs a cutting-edge AI engine powered by convolutional neural networks (CNNs) to deliver precise pattern recognition and anomaly detection. Trained on a diverse dataset of over 200,000 chest X-rays, it ensures consistent accuracy across various medical conditions and demographics. Its cloud-based architecture allows for seamless scalability, making it suitable for both small clinics and large healthcare networks. With fast diagnostic results and smooth integration into existing workflows, COVRIAD is setting a new standard in modern medical diagnostics.
COVRIAD was developed to bridge the gap in diagnostic accuracy and accessibility, particularly in regions where healthcare resources are limited. By leveraging AI and machine learning, this tool democratizes access to high-quality medical diagnostics, ensuring that every patient, regardless of location or socioeconomic status, can receive timely care.
COVRIAD earned the prestigious Award for Innovation in 2021, solidifying its position as a leader in healthcare technology.
Trained on 200,000 X-rays for unmatched diagnostic accuracy.
Detects 15 diseases, including COVID-19 and critical pulmonary conditions.
Affordable diagnostics designed for all healthcare providers.
Intuitive interface for seamless integration into workflows.
COVRIAD is a diagnostic system capable of detecting a wide range of respiratory conditions. It offers accurate and timely identification of various lung-related disorders, helping in early diagnosis and effective treatment.
COVRIAD can diagnose the following diseases:
Meet our globally recognized healthcare experts who are redefining medical excellence.
Consultant Radiologist, CEO Aznostics Diagnostic Centers
Pakistan
St. Luke's University Hospital, Pennsylvania, USA
USA
Director CarePoint Health Foundation Inc.
NJ, USA
Consultant Radiologist & Head Radiology Dept, KRL Hospital, MBBS, FCPS
Pakistan
MBBS, MHA, MS, CHAM, Director CarePoint Health Foundation Inc.
NJ, USA
Radiologist & Sonologist, MBBS, MCPS
Pakistan
MBBS, MS Internal Medicine & Cardiology
New Jersey, USA
MBBS, Fauji Foundation Hospital
Rawalpindi, Pakistan
MBBS, MRCP UK, Consultant Medicine Scotland
UK
Qualitative Metrics for COVID Detection
| # | Findings | COVRIAD (Pakistan) | COVID-Net (Canada) |
|---|---|---|---|
| 1 | Sensitivity | 100% | 86.79% |
| 2 | Overall Accuracy | 95.08% | 52.38% |
| 3 | Specificity | 93.15% | 27.39%r |