AI
VUNO
VUNO, founded in 2014, offers innovative deep learning applications, both standalone and cloud-based, enhancing physician workflows and patient care. Their team of over 90 deep learning engineers, software developers, medical doctors, and specialists collaborates with top medical institutions and companies in Korea to develop and commercialize AI-driven medical solutions.
VUNO : CXR
VUNO Med® Chest X-ray DEEP LEARNING-BASED DIAGNOSTIC SUPPORT SYSTEM FOR ABNORMALITIES IN CHEST X-RAY
Physicians who participated in a randomized and cross-over study, conducted for MFDS approval, demonstrated more accurate diagnostic performance and shortened reading time when using VUNO Med-Chest X-ray CAD S/W.
In the multi-class & multi-center validation setting, VUNO Med-Chest X-ray CAD trained on CT-confirmed X-ray images shows a comparable performance with radiologists on a per-lesion basis based on the JAFROC criterion with statistical significance.
Key Features
- VUNO Med-Chest X-ray can significantly reduce misdiagnosis and reading time by informing the reader the abnormality of case and location of the lesion for major thoracic findings.
- The current version of VUNO Med-Chest X-ray can find nodule/mass, consolidation, interstitial opacity, pleural effusion, and pneumothorax. Our next version capable of identifying less prevalent but clinically important findings is under development and validation.
- The system is also capable of detecting thoracic diseases such as TB and Pneumonia (RSNA 2019, SSG13-06)
