South Korean artificial intelligence (AI) developer VUNO Inc. announced that it 
will join the Radiological Society of North America 2020 (RSNA 2020), a 
week-long event scheduled to be open on Nov. 29. Taking this as an opportunity, 
VUNO will present various research abstracts on deep learning algorithms 
grafted onto the field of radiology and to display its AI-based solutions with 
market approval obtained in Korea, Europe and Japan. For more information, 
please visit https://rsna2020.vuno.co/.

Since its start in Chicago in 1915, RSNA has secured its position as the 
world's largest annual academic symposium on radiology and exhibition on 
related medical solutions. This year, all the attendees at the 106th RSNA 
experience an ease of an all-virtual event with all the presentation and 
exhibition sessions included. RSNA 2020 is accessible from 8:00 a.m. Nov. 29 
until 6:00 p.m. Dec. 5 CST.

This year's lineup of VUNO Med(R) solutions includes VUNO Med(R)–LungCT AI(TM), 
VUNO Med(R)-Chest X-Ray(TM), VUNO Med(R)-DeepBrain(R) and VUNO 
Med(R)-BoneAge(TM). 

VUNO also plans to give seven oral and poster presentations at this event with 
topics on lung nodule detection, diagnosis of pulmonary diseases, assessment of 
spine fracture risk, auto-measurement of solid portion in lung cancer, analysis 
of cognitive impairment and the performance validation of CT-based deep 
learning models for covid-19 pneumonia, for instance.

Hyun-Jun Kim, CEO of VUNO, said, "It is our fifth participation in RSNA this 
year. It is a great pleasure to share VUNO's achievements in the latest 
research activities and VUNO Med(R) solutions' effectiveness and usability with 
industry experts and medical & healthcare professionals. This will help us 
accelerate overseas business expansion."

VUNO Med(R) solutions can be offered via cloud, on-premise servers and as part 
of PACS and EMR systems or any other medical systems and equipment in various 
medical environments. As of now, over two hundred medical institutions in South 
Korea are taking full advantage of VUNO Med(R) solutions in their day-to-day 
workflow.

SOURCE:  VUNO

Image Attachments Links:

   Link: https://iop.asianetnews.net/view-attachment?attach-id=377850

   Caption: VUNO's Participation in RSNA 2020