AI Solution for Digital Breast Tomosynthesis

Lunit INSIGHT DBT is the commercial name of Lunit INSIGHT MMG 2.0

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Less doubts, More confidence

Designed for Digital Breast Tomosynthesis (3D mammography), this AI solution assists in identifying abnormalities that may be hidden in traditional scans, enhancing early detection rates.

Location of suspicious lesions (soft tissue lesions and calcification) marked with abnormality scores

Features

Read with convenience

Lunit INSIGHT DBT supports various integration types (SR, SC, GSPS, and In-App Viewer). It enables you to click and jump to the best visible slice (SR and In-app viewer).

*In-App Viewer: Customizable viewer at a user-level

Read with confidence

According to a study published in THE LANCET Digital Health Among the women with top AI scores for negative mammograms after double reading, 13% more cancers were detected earlier with Lunit INSIGHT MMG.²

Read faster

Lunit INSIGHT DBT not only highlights each lesion for greater visibility, but also presents the best 3D slice to show a suspicious lesion which accelerates tomo reading.

Lunit's

Global Partners

The first AI solution adopted for a national cancer screening program.

Advancing 3D Imaging with World-Class AI

Lunit’s INSIGHT MMG has been selected for BreastScreen NSW’s AI evaluation and clinical integration initiative, marking a significant step in advancing mammogram screening in Australia. Upon successful completion of the project, a five-year operational contract will commence, enabling Lunit INSIGHT MMG to assist radiologists in screening approximately 350,000 women annually.

Workflow efficiency

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According to a study published in THE LANCET Digital Health, Lunit INSIGHT MMG can triage 60% of the entire cases without missing any breast cancer.³ The suggested workflow model, of which the AI score functions as supportive information, reduces radiologists’ reading volume and complements their interpretations.

Key Benefits of Al in Mammography

  • Detecting more breast cancers

  • Rapid triage of normal cases

  • Improving reading performance of general radiolog

  • Supporting decision-making on BI-RADS 3 and

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