VUNO partners with S. Korea's tuberculosis association to upgrade AI-based diagnosis technology

By Kim Joo-heon Posted : November 23, 2021, 17:18 Updated : October 18, 2022, 12:14

[Courtesy of the Korea National Tuberculosis Association]

SEOUL -- VUNO, South Korea's diagnosis technology company, partnered with the Korea National Tuberculosis Association to cooperate in a research project for artificial intelligence (AI)-based tuberculosis diagnosis technology. About 26,000 South Koreans contract tuberculosis every year and 1,800 patients die from the disease.
VUNO said in a statement on November 23 that the company has signed a cooperation agreement with the Korea National Tuberculosis Association (KNTA) to utilize the company's AI-based diagnosis technology in both domestic and overseas medical projects. VUNO will cooperate with the association to utilize its AI chest X-ray analysis assistance solution called "VUNO Med-Chest X-ray" which detects chest diseases through X-ray images.
KNTA operates six affiliated clinics in South Korea and provides medical services abroad by frequently visiting countries with high tuberculosis infection rates including East Timor, Cambodia and Mongolia.
"It is meaningful that we have laid the groundwork for providing medical solutions to tuberculosis diagnosis projects that are being adopted by many different countries. We will contribute to the eradication of tuberculosis using clinically-effective technology," VUNO CEO Kim Hyun-jun was quoted as saying.
The development of artificial intelligence (AI)-based robot doctors has accelerated in South Korea to efficiently analyze and diagnose a patient's condition based on medical records. In October 2021, South Korea's state research institute developed a robot doctor called "Dr. AI." The robot doctor collects digitalized medical records to come up with diagnoses and predictions. In May 2020, an AI-based chest X-ray diagnosis technology was developed by the Korea Advanced Institute of Science & Technology (KAIST), a state research institute. Using deep learning technologies, the AI-based chest diagnosis technology can help health officials who are coping with COVID-19 at the frontline with limited resources.
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