VinDr

VinDr contributes to improving the quality of medical examination and treatment, thereby improving the health of the community.

0 7
Automatic
diagnostics
0 124
AI localized
lesions types
> 0 90 %
Accuracy in
lesion localization

VinDR

Products

Why choose

VinDr?

01.

Comprehensive data and technology platform

Comprehensive data and technology platform

With a dataset of more than half a million medical images collected from many major hospitals in the country, the products of the VinDr ecosystem are developed based on the most advanced technologies available today. In particular, the artificial intelligence model that automatically detects and localizes VinDr CAD lesions has proven its superiority when continuously ranking high in many international competitions.

02.

Leading experts and engineers

Leading experts and engineers

The VinDr ecosystem is developed by a team of leading experts and engineers in Vietnam, gathered from prestigious universities worldwide, with proven scientific and technological capabilities through awards, scientific publications, and publications in international journals and conferences. The research and product development process was conducted in consultation with more than 100 experienced radiologists from many major hospitals in Viet Nam.

03.

Flexible deployment capacity

Flexible deployment capacity

Products of the VinDr ecosystem can be flexibly deployed on Cloud, on-premises, or a combination of the two above, depending on the requirements of the medical facility. Currently, the VinDr deployment network has included dozens of hospitals and clinics, contributing to improving the quality of medical examination and treatment of the health system nationwide.

Free download: "AI application in rib vault segmentation and labeling on chest X-ray images"

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Clients & Partners

Scientific Research Award

Top 01

The CheXpert competition (Chest X-ray diagnosis) was organized by Stanford University, USA, in 2019.

Top 01

The EndoCV competition (Endoscopic image abnormality detection), part of the ISBI 2020 conference (International Symposium on Biomedical Imaging), was organized by the University of Oxford, UK, in 2020.

Top 03

The Pulmonary Embolism Detection on CT competition was organized by the Radiological Society of North America (RSNA) in 2020.

Top 10

The Pulmonary Embolism Detection on CT competition was organized by the Radiological Society of North America (RSNA) in 2019.

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