Lunit INSIGHT MMG
General Information
Product name
Company
Subspeciality
Modality
Disease targeted
Main task
Not specified
Technical Specifications
Population
Patient population age
Not specified
Input
Input format
Output
Output format
Integration
Deployment
Trigger for analysis
Processing time
Regulatory Information
Pathway:
MDR
Class:
Class IIa
Pathway:
510(k) cleared
Class:
Class II
Other certifications
Not specified
Market Presence
On market since
AI Platforms
Resellers
Not specified
Countries present
Not specified
Paying clinical customers
Not specified
Research/test users
Not specified
Pricing Information
Pricing model
Not specified
Based on
Not specified
Evidence & Research
Peer-Reviewed Papers
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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
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Positive Predictive Values of Abnormality Scores From a Commercial Artificial Intelligence-Based Computer-Aided Diagnosis for Mammography
View
Applying Data-driven Imaging Biomarker in Mammography for Breast Cancer Screening: Preliminary Study
View
Artificial intelligence for breast cancer detection in screening mammography in Sweden: a prospective, population-based, paired-reader, non-inferiority study
View
Performance of Digital Mammography-Based Artificial Intelligence Computer-Aided Diagnosis on Synthetic Mammography From Digital Breast Tomosynthesis
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Effect of artificial intelligence-based triaging of breast cancer screening mammograms on cancer detection and radiologist workload: a retrospective simulation study
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Artificial intelligence for breast cancer screening in mammography (AI-STREAM): preliminary analysis of a prospective multicenter cohort study
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Screening Outcomes of Mammography with AI in Dense Breasts: A Comparative Study with Supplemental Screening US
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Changes in cancer detection and false-positive recall in mammography using artificial intelligence: a retrospective, multireader study
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External Evaluation of 3 Commercial Artificial Intelligence Algorithms for Independent Assessment of Screening Mammograms
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Artificial Intelligence Algorithm for Subclinical Breast Cancer Detection
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Artificial intelligence reading digital mammogram: enhancing detection and differentiation of suspicious microcalcifications
View
AI-integrated Screening to Replace Double Reading of Mammograms: A Population-wide Accuracy and Feasibility Study
View
Accuracy of an Artificial Intelligence System for Interval Breast Cancer Detection at Screening Mammography
View
Mammographic density assessment: comparison of radiologists, automated volumetric measurement, and artificial intelligence-based computer-assisted diagnosis
View
Performance of a Breast Cancer Detection AI Algorithm Using the Personal Performance in Mammographic Screening Scheme
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Diagnostic capabilities of artificial intelligence as an additional reader in a breast cancer screening program
Source: vendor | First published: Jun 9, 2024 | Last updated: Jul 10, 2025