VUNO Inc.

Meet VUNO at rsna 2021

Join us in Chicago for the 107th RSNA Meeting 2021, November 28 – December 2, 2021.
You will experience the full potential of our road-tested and clinically proven AI-powered solutions.

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Our Products

VUNO Med® Solutions showcases the latest in medical imaging technology.
To learn more about our solution, request a demo here

  • VUNO Med®-Chest X-ray™
  • VUNO Med®-LungCT AI™
  • VUNO Med®-DeepBrain®
  • VUNO Med®-BoneAge™
VUNO Med®
Chest X-ray™
VUNO Med®-Chest X-ray™ accurately and instantly detects and flags suspected chest abnormalities indicative of major pulmonary diseases from in chest x-rays.
Key Strength
Key Strength
Clinical Support
Detection of presence of 5 lung abnormalities, abnormality score (confidence interval) and location
Workflow Optimization
Detection of abnormalities within 3-10 seconds*
*Speed of analysis may vary depending on the internet speed and server environment
Enhanced Clinical Performance
Improves chest X-ray image reading performance of radiologists with JAFROC FOM 0.96 and AUC 0.98 and reduces image reading time by approximately 50%
How it works
How it works
Accessible. Anytime & Anywhere
Related Papers
Related Papers
Download Brochure
VUNO Med®
LungCT AI™
VUNO Med® - LungCT AI™ detects the presence, types, locations and predicts lung RADS score of pulmonary nodules. Equipped with a super-resolution algorithm, which optimizes nodule detection performance and enhances CT images.
Key Strength
Key Strength
Clinical Support
Accurate detection and volumetric quantification of pulmonary nodules
Efficiency
Provides nodule growth assessment with longitudinal tracking within 1 minute *
* Speed of analysis may vary depending on internet speed and server environment
Patient Management
Support physicians by providing nodule growth assessment with longitudinal tracking
How it works
How it works
Accessible. Anytime & Anywhere
Related Papers
Related Papers
Download Brochure
VUNO Med®
DeepBrain®
VUNO Med® – DeepBrain® assists the diagnosis of neurodegenerative diseases by analyzing brain atrophy information and providing quantification of neurodegenerative diseases through brain parcellation.
Key Strength
Key Strength
Clinical Support
Provides volumetric data of 104 brain regions through brain parcellation (brain volume, cortical thickness, WMH)
Atrophy Analysis
Compares patient’s brain atrophy data against the normal population as benchmark and displays the normative percentile
Efficiency
Analyzes brain MR images within 1 minute*
* Speed of analysis may vary depending on internet speed and server environment
How it works
How it works
Accessible. Anytime & Anywhere
Related Papers
Related Papers
Download Brochure
VUNO Med®
BoneAge™
VUNO Med®-BoneAge™ is an assessment tool based on hand X-ray images that provides an accurate bone age assessment by suggesting the top 3 bone age results within seconds.
Key Strength
Key Strength
Clinical Support
Provides bone age assessment based on the the 3 top bone age results, probability (%), genome / genetic data and average bone age
Efficiency
Analysis of bone age within 5 ~ 10 seconds *
* Speed of analysis may vary depending on internet speed and server environment
Improvement
Increases the consistency and diagnostic accuracy of bone age assessments and boosts physician confidence in decision making
How it works
How it works
Accessible. Anytime & Anywhere
Related Papers
Related Papers
Download Brochure

Our products, in scientific presentations
at RSNA 2021

We are sharing our latest research findings using
our medical AI technology and product in the scientific presentations as below.

Sunday, 11/28/2021, 11:00 AM - 11:30 AM
[AI Theater] The Past, Present, and the Future of VUNO Med for Precision Imaging
by Jinkyeong Sung, Eunkyoung Hong
Monday, 11/29/2021, 1:30 PM - 2:30 PM
Automatic Windowing Parameter Estimation For Chest Radiographs: A Deep Learning Approach
by Hyunjoon An
Tuesday, 11/30/2021, 4:00 PM - 4:30 PM
Adaptable Multi-view Model For Fracture Detection In Hand Radiographs Using Convolutional Neural Network
by Jinkyeong Sung
Tuesday, 11/30/2021, 4:30 PM - 5:00 PM
Highly Robust Deep Learning Model For Lung-RADS Category 4X Classification
by Hyunjoon An
Tuesday, 11/30/2021, 4:30 PM - 5:00 PM
Overlooked Area Of Abdomen CT: Utilization Of AI Lung Nodule Detection And Characterization System For Basal Lung Metastasis In Colon Cancer Patients
by Eunkyoung Hong
Tuesday, 11/30/2021, 12:15 PM - 12:45 PM
Deep Learning-based Prediction For Osteoporotic Compression Fracture In Lumbar Spine Radiographs: Can It Be Better Than FRAX?
Tuesday, 11/30/2021, 4:00 PM - 4:30 PM
Introduction Of MRI-based AI Model In Prediction Of MCI Conversion To Dementia: Could It Be A Key To Early Diagnosis Of Alzheimer’s Disease?
by Eunkyoung Hong
Sunday, 11/28/2021, 1:00 PM - 1:30 PM
AI-aided Diagnosis On The Performance Of Radiologists To Diagnose Lung Nodule Malignancy: A Sequential Reader Study
by Eunkyoung Hong
Wednesday, 12/1/2021, 12:45 PM - 1:15 PM
Development And Validation Of An Automatic Classification Algorithm For The Diagnosis Of Alzheimer's Disease Using A High-performance Interpretable Deep Learning Network
Sunday, 11/28/2021, 11:00 AM - 11:30 AM
[AI Theater] The Past, Present, and the Future of VUNO Med for Precision Imaging
by Jinkyeong Sung, Eunkyoung Hong
Monday, 11/29/2021, 1:30 PM - 2:30 PM
Automatic Windowing Parameter Estimation For Chest Radiographs: A Deep Learning Approach
by Hyunjoon An
Tuesday, 11/30/2021, 4:00 PM - 4:30 PM
Adaptable Multi-view Model For Fracture Detection In Hand Radiographs Using Convolutional Neural Network
by Jinkyeong Sung
Tuesday, 11/30/2021, 4:30 PM - 5:00 PM
Highly Robust Deep Learning Model For Lung-RADS Category 4X Classification
by Hyunjoon An
Tuesday, 11/30/2021, 4:30 PM - 5:00 PM
Overlooked Area Of Abdomen CT: Utilization Of AI Lung Nodule Detection And Characterization System For Basal Lung Metastasis In Colon Cancer Patients
by Eunkyoung Hong
Tuesday, 11/30/2021, 12:15 PM - 12:45 PM
Deep Learning-based Prediction For Osteoporotic Compression Fracture In Lumbar Spine Radiographs: Can It Be Better Than FRAX?
by Jaewon Lee
Tuesday, 11/30/2021, 4:00 PM - 4:30 PM
Introduction Of MRI-based AI Model In Prediction Of MCI Conversion To Dementia: Could It Be A Key To Early Diagnosis Of Alzheimer’s Disease?
by Eunkyoung Hong
Sunday, 11/28/2021, 1:00 PM - 1:30 PM
AI-aided Diagnosis On The Performance Of Radiologists To Diagnose Lung Nodule Malignancy: A Sequential Reader Study
by Eunkyoung Hong
Wednesday, 12/1/2021, 12:45 PM - 1:15 PM
Development And Validation Of An Automatic Classification Algorithm For The Diagnosis Of Alzheimer's Disease Using A High-performance Interpretable Deep Learning Network
by Hyunwoo Oh

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