VUNO publishes study of its solution based on artificial intelligence, which improves the accuracy of chest X-ray reading

South Korean medical imaging firm VUNO has published study showing that Med-Chest X-rays help to improve the detection and localization of major pathological findings on chest radiographs while reducing reading time. The study was published in the academic journal Radiology.


The study was conducted on three groups of people, which included experts with different levels of experience – residents, certified radiologists and thoracic radiologists. He compared chest radiographs in those who used Med-Chest X-rays and those who did not use the software.

It has been shown that the accuracy of diagnosis in all indicators, including lesion and sensitivity in the image, has improved significantly. Reading time was also reduced by an average of 50%.

According to a VUNO statement, the study’s results confirmed that the solution is a useful diagnostic support tool for all clinicians, regardless of their years of experience, not only for single-lesion cases but also for those with multiple lesions and abnormal data. “.

WHY is it important

VUNO notes that past studies evaluating the effects of such decisions “may have tended to results” due to reading order or bias bias. To reduce this bias, the company’s study used a randomized crossover design with a blur period.


Medical Company II recently released on KOSDAQ, South Korea’s main stock exchange, raising 37.8 billion won ($ 33.6 million). Proceeds from the IPO were earmarked for investment in research and development, additional manpower and further expansion.

Last year the company received CE mark confirmations for chest X-ray solution as well as four other VUNO Med series products. He also got it license agreement with M3, one of Sony ‘s subsidiaries, sell its solutions in Japan.


“The results of the study show the added value of our chest x-ray solution, which illustrates the ability to streamline clinical workflows,” said Dr. Jinkyong Sung, chief physician of VUNO and lead author of the study.

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