FDA Clears Lunit's AI-Powered Digital Breast Tomosynthesis Platform

News
Article

Lunit Insight DBT may facilitate improved detection and efficiency for radiologists interpreting digital breast tomosynthesis images.

The Food and Drug Administration (FDA) has granted 510(k) clearance for Lunit Insight DBT, an artificial intelligence (AI)-enabled modality that provides adjunctive assessment of digital breast tomosynthesis (DBT) images.

Using abnormality scores to quantify the malignancy likelihood of suspicious breast lesions, Lunit Insight DBT also provides information on lesion calcification and different types of soft tissue lesions, according to Lunit, the manufacturer of the modality.

In addition to enhanced visibility of highlighted lesions, Lunit emphasized that Lunit Insight DBT facilitates timely image assessment by enabling radiologists to jump to the most optimal 3D slice for viewing a suspicious lesion.

“More than 40 million mammography screenings are reported in the US annually. … Achieving FDA clearance for Lunit Insight DBT … marks a significant milestone in our mission to revolutionize breast cancer diagnosis and, ultimately, save more lives,” noted Brandon Suh, the CEO of Lunit.

Recent Videos
Combining Advances in Computed Tomography Angiography with AI to Enhance Preventive Care
Study: MRI-Based AI Enhances Detection of Seminal Vesicle Invasion in Prostate Cancer
What New Research Reveals About the Impact of AI and DBT Screening: An Interview with Manisha Bahl, MD
Can AI Assessment of Longitudinal MRI Scans Improve Prediction for Pediatric Glioma Recurrence?
New Mammography Studies Assess Image-Based AI Risk Models and Breast Arterial Calcification Detection
Can Deep Learning Provide a CT-Less Alternative for Attenuation Compensation with SPECT MPI?
Employing AI in Detecting Subdural Hematomas on Head CTs: An Interview with Jeremy Heit, MD, PhD
Current and Emerging Legislative Priorities for Radiology in 2025
How Will the New FDA Guidance Affect AI Software in Radiology?: An Interview with Nina Kottler, MD, Part 2
How Will the New FDA Guidance Affect AI Software in Radiology?: An Interview with Nina Kottler, MD, Part 1
Related Content
© 2025 MJH Life Sciences

All rights reserved.