AI Solution for Mammography LunitMMG

Detected Location: The location information of detected breast cancer in the form of heatmap and outlines

Abnormality Score: An abnormality score for each side of the breast, which reflects the AI’s calculation of the actual presence of the detected breast cancer

Density Assessment: Assessment of breast density, categorized into four types

What are the major benefits of using it?

01 Detect more breast cancers

The combination of first-reader radiologists and Lunit AI detects more breast cancers, than not only the first-reader and second-reader radiologists but also the double reading by radiologists.

Health check-up centers

Community hospitals and clinics

Radiology departments

02 Fast triage of normal cases

According to the abnormality scores generated by AI, radiologists can successfully triage up to 60% of the entire cases without human interpretation, which can reduce their workload by more than half in mammogram interpretation.

Health check-up centers

Imaging clinics

Teleradiology centers

03 Improved reading performance of general radiologists

General radiologists can use the AI analysis results to improve their reading performance, at a level up to that of breast specialists.

Health check-up centers

Community hospitals and clinics

Radiology departments

04 Early diagnosis of breast cancer

Radiologists can detect T1 and node-negative breast cancer with 91% and 87% accuracy, respectively.

Health check-up centers

Community hospitals and clinics

Radiology departments

05 Support for decision-making on BI-RADS 3 and 4 cases

For difficult cases classified as BI-RADS 3 or 4, radiologists can compare their reading result and decide with confidence for additional exams such as ultrasound and biopsy

Health check-up centers

Community hospitals and clinics

Radiology departments

06 Improved diagnostic accuracy for dense breasts

Radiologists can improve their diagnostic accuracy for dense and fatty breasts by up to 9% and 22%, respectively.

Health check-up centers

Community hospitals and clinics

Radiology departments