Clinical References
Lunit INSIGHT® and SecondReadAI™
SecondReadAI is an AI-powered second analysis of mammography images that is proven to provide incredible benefits:
Earlier detection
Identifies 15% more cancers over mammography alone. (MMG)
Enhances screening accuracy
Detects 1 additional cancer for every 10 found by radiologists. (DBT)
Reliable in dense breasts
Achieves 89% sensitivity in dense breast tissue. (MMG)
More confidence to biopsy
Boosts diagnostic accuracy up to 5% in dense breasts and 12% in fatty breasts. (MMG)
Significantly less false positives to traditional CAD
Reduces false-positive marks by 95%. (MMG)
Accelerates radiologist’s analysis
Reduces reading time by 13%, supporting faster, more efficient workflows. (MMG)
References
1, 3. Hyo Eun Kim, et al., Changes in cancer detection and false-positive recall in mammography using artificial intelligence: a retrospective, multi reader study, The Lancet Digital Health, 2020
2. Eun Kyung Park, et al., Impact of AI for Digital Breast Tomosynthesis on Breast Cancer Detection and Interpretation Time, Radiology: Artificial Intelligence 2024; 6(3):e230318 • https://doi.org/10.1148/ryai.230318.
4. Lehman CD, Arao RF, Sprague BL, Lee JM, Buist DS, Kerlikowske K, et al. National performance benchmarks for modern screening digital mammography: update from the Breast Cancer Surveillance Consortium. Radiology 2017;283:49-58
4. Kim YS, Jang MJ, Lee SH, Kim SY, Ha SM, Kwon BR, Moon WK, Chang JM. Use of Artificial Intelligence for Reducing Unnecessary Recalls at Screening Mammography: A Simulation Study. Korean J Radiol. 2022 Dec;23(12):1241-1250. doi: 10.3348/kjr.2022.0263. PMID: 36447412; PMCID: PMC9747265.
5. Lee, Si Eun, et al., Comparison of conventional CAD and AI-CAD applied to digital mammography in respect of false-positive marks, Journal of the Korean Society for Breast Screening, 2020
6. Karin Dembrower, et al., 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, 2020
This AI software cannot guarantee breast cancer detection with 100% accuracy.
Lunit INSIGHT is globally trusted AI software that delivers smarter, earlier breast cancer detection.
Earlier detection
Identifies 15% more cancers over mammography alone. (MMG)
Enhances screening accuracy
Detects 1 additional cancer for every 10 found by radiologists. (DBT)
Reliable in dense breasts
Achieves 89% sensitivity in dense breast tissue. (MMG)
References
1. Hyo Eun Kim, et al., Changes in cancer detection and false-positive recall in mammography using artificial intelligence: a retrospective, multi reader study, The Lancet Digital Health, 2020
2. Bahl M, Langarica S, Lamb LR, et al. AI to Reduce the Interval Cancer Rate of Screening Digital Breast Tomosynthesis. Radiology. 2025.