VUNO Med-Fundus AI detects lesions within a second, classifying and localizing them in fundoscopic images of retinas to provide diagnostic information.
· Competitors currently diagnose one or two diseases, whereas VUNO Med-Fundus AI detects a total of 12 lesions and presents the corresponding outline.

Value Proposition

\- Automatic fundus region marking and abnormality detection can assist doctors in the diagnosis of eye diseases.
\- Analyzes all patients in the patient list with a single click.
\- Allows doctors to check the presence of an abnormality at a glance and adjust sensitivity setting according to the clinical environment.

Intended Use

FUNDUS Image (dicom, jpeg, png files)

Model performance metrics

Stable performance (AUROC 94.7 – 98.0%)

Performance Curves

Performance Curves



VUNO delivers innovative standalone, cloud-based, and integrated deep learning applications that significantly improve physician’s workflow while enhancing patient care.

Founded in 2014, VUNO and its team of deep learning engineers, software developers, medical doctors, regulatory affair specialists, and other professionals experienced in product commercialization totaling 100+ members work together with the best-known medical institutions and companies in Korea to develop and commercialize medical AI based on diverse medical data.

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