- Background
- Product Description
- Major Benefits
- Example Cases
Background
What if breast cancer can be found in
the early stages?
Improving mammography interpretation
Lunit INSIGHT in Yonsei Severance Hospital, Yongin, Korea
When Detected
Early by AI*5-year survival
*Reference: AJCC 8th Edition
Product Description
Lunit INSIGHT MMG is
all about breast cancer.
Accurately
detects lesions suspicious of
breast cancer in
a mammogram.Developed using Lunit’s cutting-edge
deep learning technologyGenerated by
Lunit INSIGHT MMGDetected Location
The AI generates the location information of detected breast cancer in the form of heatmaps and outlines.
Abnormality Score
The AI generates 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
The AI generates its assessment of breast density, categorized into four types.
Major Benefits
Reduce the risk of overlooking
breast cancer by 50%
Fast triage of
normal casesTriage up to 60% of the entire cases without human interpretation; reduce workload by more than half in mammogram interpretation.2
Support for decision-making on BI-RADS
3 and 4 casesFor difficult cases, compare with the AI results and decide with confidence for additional exams such as ultrasound and biopsy.
Improved diagnostic accuracy for
dense breastsImprove diagnostic accuracy for dense and fatty breasts by up to 9% and 22%, respectively.5
Example Cases
Breast cancer
can be tricky to find.
Not with AI.
A mass in the right breast, diagnosed as invasive ductal carcinoma, is shown to be properly detected with a malignancy score of 98%.
detected with a
malignancy score of98
%A lesion with microcalcifications in the right breast, diagnosed as ductal carcinoma in situ, is shown to be properly detected with a malignancy score of 58%.
detected with a
malignancy score of58
%Distributed in
partnership withMajor Customers
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Lunit INSIGHT MMG
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Watch and learn more about
Lunit INSIGHT MMG
Lunit YouTubeReference
- Background
1Myers ER, Moorman P, Gierisch JM, et al. Benefits and harms of breast cancer screening: a systematic review. JAMA 2015;314:1615-34.
2Thurfjell EL, Lernevall KA, Taube A. Benefit of independent double reading in a population-based mammography screening program. Radiology 1994;191:241-4.
3Yankaskas BC, Klabunde CN, Ancelle-Park R, et al. International comparison of performance measures for screening mammography: can it be done? J Med Screen 2004;11:187-93.
4Ciatto S, Ambrogetti D, Risso G, et al. The role of arbitration of discordant reports at double reading of screening mammograms. J Med Screen 2005;12:125-7.
5http://breastscreening.cancer.gov.
- Major Benefits
1Mattie Salim, Erik Wåhlin, Karin Dembrower, et al., External Evaluation of 3 Commercial Artificial Intelligence Algorithms for Independent Assessment of Screening Mammograms, JAMA Oncology, 2020
2Karin Dembrower, Erik Wåhlin, et al., Effect of artificial intelligence-based triaging of breast cancer screening mammograms on cancer detection and radiologist workload: a retrospective simulation study, THE LANCET Digital Health 2020
3 4 5Hyo-Eun Kim, Hak Hee Kim, et al., Changes in cancer detection and false-positive recall in mammography using artificial intelligence: a retrospective, multireader study, THE LANCET Digital Health 2020