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ai-cad algorithm lunit insight for mammography version 1.1.4.3  (Lunit Inc)

 
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    Structured Review

    Lunit Inc ai-cad algorithm lunit insight for mammography version 1.1.4.3
    Comparison of mammographic factors between pure DCIS and DCIS with invasive upgrade
    Ai Cad Algorithm Lunit Insight For Mammography Version 1.1.4.3, supplied by Lunit Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/cad+algorithm/ai+cad+program+lunit+insight+mmg/pmc10997564-143-3-5
    Average 90 stars, based on 1 article reviews
    ai-cad algorithm lunit insight for mammography version 1.1.4.3 - by Bioz Stars, 2026-11
    90/100 stars

    Images

    1) Product Images from "AI analytics can be used as imaging biomarkers for predicting invasive upgrade of ductal carcinoma in situ"

    Article Title: AI analytics can be used as imaging biomarkers for predicting invasive upgrade of ductal carcinoma in situ

    Journal: Insights into Imaging

    doi: 10.1186/s13244-024-01673-0

    Comparison of mammographic factors between pure DCIS and DCIS with invasive upgrade
    Figure Legend Snippet: Comparison of mammographic factors between pure DCIS and DCIS with invasive upgrade

    Techniques Used: Comparison, Imaging

    Multivariable analysis for predictors of invasive upgrade in the total 440 DCIS patients
    Figure Legend Snippet: Multivariable analysis for predictors of invasive upgrade in the total 440 DCIS patients

    Techniques Used: Imaging

    Multivariable analysis for predictors of invasive upgrade in the 341 mammographically detected DCIS patients
    Figure Legend Snippet: Multivariable analysis for predictors of invasive upgrade in the 341 mammographically detected DCIS patients

    Techniques Used: Imaging

    Related Articles

    other:

    Article Title: Performance of Digital Mammography-Based Artificial Intelligence Computer-Aided Diagnosis on Synthetic Mammography From Digital Breast Tomosynthesis.
    Article Snippet: Commercial AI-CAD (Lunit Insight MMG, version 1.1.7.2) was retrospectively applied to SM and FFDM to calculate the abnormality scores for each breast.

    Article Title: AI analytics can be used as imaging biomarkers for predicting invasive upgrade of ductal carcinoma in situ
    Article Snippet: A commercially available AI-CAD algorithm (Lunit INSIGHT for Mammography, version 1.1.4.3, Lunit Inc., Seoul, Korea) that was previously validated through a multinational study [ ] was used for analyzing mammograms.

    Article Title: Exploring the Efficacy of Artificial Intelligence-Based Computer-Aided Detection for Breast Cancer Detection on Digital Mammograms
    Article Snippet: We used a commercially available AI-CAD system (Lunit INSIGHT for Mammography, v1.1.4.3, Lunit Inc., Seoul, Korea, available at. https://insight.lunit.io ) dedicated to breast cancer detection and diagnosis in digital mammography.

    Article Title: Efficacy of Mammographic Artificial Intelligence-Based Computer-Aided Detection in Predicting Pathologic Complete Response to Neoadjuvant Chemotherapy
    Article Snippet: Two commercially available CAD systems were tested: the conventional R2 ImageChecker Cenova (version 1.0, Hologic Inc., Bedford, MA, USA) and the AI-powered Lunit INSIGHT for Mammography (v1.1.4.3, Lunit Inc., Seoul, Republic of Korea, available at https://insight.lunit.io , accessed on 7 November 2024).

    Article Title: Artificial intelligence for breast cancer screening in mammography (AI-STREAM): preliminary analysis of a prospective multicenter cohort study
    Article Snippet: The study used a commercial AI-CAD system (Lunit INSIGHT MMG, available at https://insight.lunit.io , version 1.1.7.1), which has been validated through various studies , (Supplementary Note ).

    Article Title: Artificial intelligence for breast cancer screening in mammography (AI-STREAM): preliminary analysis of a prospective multicenter cohort study.
    Article Snippet: The study used a commercial AI-CAD system (Lunit INSIGHT MMG, available at https://insight.lunit.io, version 1.1.7.1), which has been validated through various studies11,24 (Supplementary Note 3).

    Software:

    Article Title: Application of a Commercial Artificial Intelligence Software in Unilateral Mammography: Simulating Total Mastectomy Scenarios.
    Article Snippet: This study was to evaluate the performance of commercially available artificial intelligence (AI) software in unilateral mammograms simulating postmastectomy surveillance compared with AI software used in bilateral mammograms from the same women serving as controls.. A retrospective database search identified consecutive women who underwent breast cancer surgery between January 2021 and December 2021.. AI software was applied to the mammogram immediately preceding breast cancer diagnosis in two modes: bilateral (the standard bilateral mammography dataset) and unilateral analyses (each breast's craniocaudal and mediolateral oblique views), and their outputs were reviewed.

    Article Title: Artificial intelligence-based tumor size measurement on mammography: agreement with pathology and comparison with human readers' assessments across multiple imaging modalities.
    Article Snippet: Purpose To evaluate the agreement between artificial intelligence (AI)-based tumor size measurements of breast cancer and the final pathology and compare these results with those of other imaging modalities.. Material and methods This retrospective study included 925 women (mean age, 55.3 years ± 11.6) with 936 breast cancers, who underwent digital mammography, breast ultrasound, and magnetic resonance imaging before breast cancer surgery.. AIbased tumor size measurement was performed on post-processed mammographic images, outlining areas with AI abnormality scores of 10, 50, and 90%.



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    Image Search Results


    Comparison of mammographic factors between pure DCIS and DCIS with invasive upgrade

    Journal: Insights into Imaging

    Article Title: AI analytics can be used as imaging biomarkers for predicting invasive upgrade of ductal carcinoma in situ

    doi: 10.1186/s13244-024-01673-0

    Figure Lengend Snippet: Comparison of mammographic factors between pure DCIS and DCIS with invasive upgrade

    Article Snippet: A commercially available AI-CAD algorithm (Lunit INSIGHT for Mammography, version 1.1.4.3, Lunit Inc., Seoul, Korea) that was previously validated through a multinational study [ ] was used for analyzing mammograms.

    Techniques: Comparison, Imaging

    Multivariable analysis for predictors of invasive upgrade in the total 440 DCIS patients

    Journal: Insights into Imaging

    Article Title: AI analytics can be used as imaging biomarkers for predicting invasive upgrade of ductal carcinoma in situ

    doi: 10.1186/s13244-024-01673-0

    Figure Lengend Snippet: Multivariable analysis for predictors of invasive upgrade in the total 440 DCIS patients

    Article Snippet: A commercially available AI-CAD algorithm (Lunit INSIGHT for Mammography, version 1.1.4.3, Lunit Inc., Seoul, Korea) that was previously validated through a multinational study [ ] was used for analyzing mammograms.

    Techniques: Imaging

    Multivariable analysis for predictors of invasive upgrade in the 341 mammographically detected DCIS patients

    Journal: Insights into Imaging

    Article Title: AI analytics can be used as imaging biomarkers for predicting invasive upgrade of ductal carcinoma in situ

    doi: 10.1186/s13244-024-01673-0

    Figure Lengend Snippet: Multivariable analysis for predictors of invasive upgrade in the 341 mammographically detected DCIS patients

    Article Snippet: A commercially available AI-CAD algorithm (Lunit INSIGHT for Mammography, version 1.1.4.3, Lunit Inc., Seoul, Korea) that was previously validated through a multinational study [ ] was used for analyzing mammograms.

    Techniques: Imaging