VUNO is a Korean medical-AI company whose diagnostic models analyze medical images and biosignals to support clinicians in radiology, endoscopy and emergency care.
Publicly listed in Korea, VUNO builds deep-learning products that detect findings in chest CT, bone age studies, endoscopic video and even voice. Its portfolio includes tools that quantify pulmonary nodules, predict cardiac arrest risk from vital signs and assist endoscopists in real time, all designed to slot into hospital workflows. VUNO works closely with Korean hospitals on clinical validation and exports its technology to healthcare partners across Asia.
VUNO products are licensed to hospitals and medical institutions through commercial agreements; pricing depends on product mix, deployment and study volume.
Hospitals, screening centers and health systems in Asia that want clinically validated AI assistance across imaging and patient monitoring.
VUNO fits hospitals that want AI assistance across several departments rather than a single detection task.
Deployments begin with clinical evaluation on site: VUNO integrates with imaging and monitoring systems, then radiologists and clinicians validate results before go-live.
Clinics gain consistent second opinions and faster triage, with the convenience of a single vendor covering multiple modalities and use cases.
Deployments integrate with hospital imaging and monitoring systems, followed by clinical validation and staff training. VUNO’s team supports each product module during rollout.
Regulatory clearance varies by product and country, and AI findings always require clinician confirmation.
Hospitals value having one vendor cover imaging, endoscopy and biosignal use cases consistently.
No. VUNO’s clinical products are commercial medical software; institutions arrange demonstrations and pilots through its business team.
Deployment is handled through hospital imaging and clinical systems, with integration terms defined per installation.
VUNO differentiates with a broad multimodal lineup — imaging, biosignal and voice — under one vendor, which suits hospitals consolidating AI procurement.
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