Vendor source
Reviewed 15 Sept 2026
Completeness Strong (67%)
Lunit INSIGHT MMG is deep learning based software that assists radiologists in the interpretation of mammograms. The AI solution automatically detects suspicious areas for breast cancer on mammograms including mass, calcification, distortion and asymmetry. The analysis result contains (1) localization of suspicious areas in color or outline and (2) abnormality scores reflecting the probability that the detected area is malignant.
Supported by 31 papers




General Information
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Subspeciality
Disease targeted
Regulatory Information
Pathway:
MDR
Class:
Class IIa
Verified by Health AI Register
Verified by Health AI Register
Other certifications
Not specified
Evidence & Research
Peer-Reviewed Papers
Measuring Breast Density at Scale With AI: Insights From BreastScreen NSW
Journal of Medical Imaging and Radiation Oncology · Jul 2026
Location of AI risk markers and associated mammographic features in screening mammograms obtained years before screen-detected breast cancer
European Radiology · Jun 2026
A comparison of tumour characteristics of screen-detected and interval cancers and their relationship with breast density and AJCC prognostic stage in a UK screening cohort
European Radiology · May 2026
High risk score of breast cancer by artificial intelligence (AI) on screening mammograms: a review of negative and cancer cases
European Radiology · May 2026
Long-term prognostic implications of AI-detected versus AI-undetected breast cancers on mammography: a propensity score-matched analysis
European Radiology · Apr 2026
Performance of a Screening Mammography AI Algorithm Repurposed for Symptomatic Mammography in a Tertiary Outpatient Clinic
Diagnostics · Mar 2026
Enhancing Early Detection of Contralateral Breast Cancer in Breast Cancer Survivors Using AI-Assisted Mammography
Annals of Surgical Oncology · Mar 2026
AI-CAD for diagnostic mammography: comparison to radiologists according to different indications
European Radiology · Dec 2025
Combined use of two artificial intelligence-based algorithms for mammography triaging: a retrospective simulation study
European Radiology · Aug 2025
An Exploration of Discrepant Recalls Between AI and Human Readers of Malignant Lesions in Digital Mammography Screening
Diagnostics · Jun 2025
Clinical Application of AI in Mammography: Insights from a Prospective Study
Academic Radiology · Jun 2025
Human-AI Interaction in the ScreenTrustCAD Trial: Recall Proportion and Positive Predictive Value Related to Screening Mammograms Flagged by AI CAD versus a Human Reader
Radiology · Mar 2025
Artificial intelligence for breast cancer screening in mammography (AI-STREAM): preliminary analysis of a prospective multicenter cohort study
Nature Communications · Mar 2025
Performance of Digital Mammography-Based Artificial Intelligence Computer-Aided Diagnosis on Synthetic Mammography From Digital Breast Tomosynthesis
Korean Journal of Radiology · Feb 2025
Artificial intelligence reading digital mammogram: enhancing detection and differentiation of suspicious microcalcifications
British Journal of Radiology · Oct 2024
Artificial Intelligence Algorithm for Subclinical Breast Cancer Detection
JAMA Network Open · Oct 2024
AI-integrated Screening to Replace Double Reading of Mammograms: A Population-wide Accuracy and Feasibility Study
Radiology: Artificial Intelligence · Sep 2024
Accuracy of an Artificial Intelligence System for Interval Breast Cancer Detection at Screening Mammography
Radiology · Aug 2024
Screening Outcomes of Mammography with AI in Dense Breasts: A Comparative Study with Supplemental Screening US
Radiology · Jul 2024
Mammographic density assessment: comparison of radiologists, automated volumetric measurement, and artificial intelligence-based computer-assisted diagnosis
Acta Radiologica · Jun 2024
Screening mammography performance according to breast density: a comparison between radiologists versus standalone intelligence detection
Breast Cancer Research · Apr 2024
Performance of an Artificial Intelligence System for Breast Cancer Detection on Screening Mammograms from BreastScreen Norway
Radiology: Artificial Intelligence · Apr 2024
Diagnostic capabilities of artificial intelligence as an additional reader in a breast cancer screening program
European Radiology · Feb 2024
Positive Predictive Values of Abnormality Scores From a Commercial Artificial Intelligence-Based Computer-Aided Diagnosis for Mammography
Korean Journal of Radiology · Feb 2024
Population-wide evaluation of artificial intelligence and radiologist assessment of screening mammograms
European Radiology · Nov 2023
Artificial intelligence for breast cancer detection in screening mammography in Sweden: a prospective, population-based, paired-reader, non-inferiority study
The Lancet Digital Health · Sep 2023
Performance of a Breast Cancer Detection AI Algorithm Using the Personal Performance in Mammographic Screening Scheme
Radiology · Sep 2023
External Evaluation of 3 Commercial Artificial Intelligence Algorithms for Independent Assessment of Screening Mammograms
JAMA Oncology · Aug 2020
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 · Aug 2020
Changes in cancer detection and false-positive recall in mammography using artificial intelligence: a retrospective, multireader study
The Lancet Digital Health · Feb 2020
Applying Data-driven Imaging Biomarker in Mammography for Breast Cancer Screening: Preliminary Study
Scientific Reports · Feb 2018
Technical Specifications
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Source: Vendor | First published: Jun 9, 2024 | Last updated: Sep 15, 2026