UPDATE : Friday, May 29, 2020
‘We Want Healthcare’ introduces Lunit AI to its screening system
  • By Lee Han-soo
  • Published 2019.01.22 14:56
  • Updated 2019.01.22 14:56
  • comments 0

Lunit, a medical artificial intelligence (AI) company, said Tuesday that it has signed an agreement with We Want Healthcare, one of the largest local health screenings centers, to supply its AI solutions.

With the agreement, patients have started to receive the analysis of Lunit INSIGHT for Chest Radiography Nodule Detection at the center from the start of this year.

We Want Healthcare is a medical checkup center that focuses on company health screenings conducting checkups for 60,000 people a year. The center became one of the “Big 5” local health screening centers in 2017.

“We are constantly struggling to provide quality medical services to our customers while efficiently operating our health screening centers,” We Want Healthcare President Kim Young-mook said. “The center has been providing high-tech diagnostic equipment since the beginning of its operation, and will become a more advanced medical screening center by introducing the AI analysis system of Lunit.”

Lunit CEO Suh Beom-seok also said, “This is the first contract signed with a health screening center since we received approval from the Ministry of Food and Drug Safety in August last year. Since the purpose of health checkup is early detection of disease, we hope that the introduction of our AI platform will help radiologists improve diagnostic accuracy.”

Lunit Insight is an artificial intelligence solution developed by Lunit's proprietary deep-running technology and 200,000 pieces of high-quality X-ray image data. It detects early lesions that are not visible to the human eye with a high accuracy of 97 percent.

Since its launch in November 2017, more than 70 countries have analyzed 1.5 million X-ray images through Lunit Insight. The Seoul National University Hospital and hospitals in Mexico and the United Arab Emirates have also been using Lunit Insight for diagnosis and reading.


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