Domestic Medical AI Solution Usage Reduces Healthcare Workers' Workload by 70%

A study has found that utilizing medical artificial intelligence (AI) can not only enable early diagnosis of diseases but also significantly reduce the workload of medical staff.

Lunit's AI imaging analysis solution for mammography, 'Lunit Insight MMG'
[Photo by Lunit]

On the 8th, Lunit announced that a study published in the European radiology journal 'European Radiology' showed that such effects can be expected when using Lunit's mammography AI image analysis solution, 'Lunit Insight MMG.'

The study was led by Dr. Mustafa Ege ?eker from the Department of Radiology at Acıbadem Mehmet Ali Aydınlar University in T?rkiye and his research team, who analyzed 22,621 mammography cases conducted in T?rkiye from 2009 to 2019. The researchers focused on how AI could aid in early breast cancer detection, identify interval cancers occurring between screenings, and reduce the workload of medical staff.

As a result, when AI was introduced as a breast cancer patient classification tool in the breast cancer screening workflow, the workload of medical staff was reduced by approximately 69.5%, while classification accuracy improved by about 30.5%. Additionally, when using Lunit Insight MMG, about 52% of all interval cancers and approximately 50% of cancers missed in previous screenings were immediately identified. Even in double reading situations where two radiologists participate in mammography examinations, using AI instead of a second physician as the second reader led to an average diagnosis of about 23% of all breast cancer patients approximately 30 months earlier.

The company explained, "This study clearly demonstrates that AI technology can play a crucial role in saving patients' lives by significantly improving the efficiency of the breast cancer screening process and increasing early diagnosis rates."

Seobum Seok, CEO of Lunit, said, "This study not only proves the clinical usefulness of the AI image analysis solution but also demonstrates its performance in T?rkiye, where the medical market has great growth potential and a high dependence on imported medical products, raising expectations for future business expansion. We will continue to expand the application scope of medical AI through various collaborations with global medical professionals."