销售价格: | ¥ 面议 |
商品编号: | AI-0379-1610 |
软件语言: | 英文 |
器械分类: | II |
生产厂家: | Lunit Inc. |
公司网址: | https://www.lunit.io/en |
认证信息: | FDA |
系统要求: | Windows |
交付方式: | 下载安装 |
LUnit INSIGHT MMG
Al Solution for Mammography
less doubts, More confidence
Lunit INSIGHT MMG accurately detects lesions suspicious of breast cancer in a mammogram.
Normal / Benign mass
Malignant mass
According to the study published in THE LANCET Digital Health
Radiologists can improve diagnostic accuracy for dense and fatty breasts by up to 5% and 12%, respectively. ²
Dense breast cancer diagnosis increased by 5% with AI5 %
Fatty breast cancer diagnosis increased by 12% with AI12 %
According to a study published in JAMA Oncology, Lunit INSIGHT MMG showed the best performance in detecting malignant lesions among 3 AI solutions. ¹
Figure. Receiver Operating Characteristic Curves for the
3 Artificial Intelligence Computer-Aided Detection Algorithms
Density assessment
Lunit INSIGHT MMG automatically analyzes and generates quantitative density assessment* during breast screening.
* Not available in the U.S.A
Lunit INSIGHT MMG successfully analyzed the mammogram of an overlooked case in 2020, where cancer was missed and the patient was diagnosed 2 years later in 2022.
According to a study published in THE LANCET Digital Health
Among the women with top AI scores for negative mammograms after double reading, 13% more cancers were detected earlier with Lunit INSIGHT MMG.²
60 %
According to a study published in THE LANCET Digital Health,
Lunit INSIGHT MMG can triage 60% of the entire cases without missing any breast cancer.³
The suggested workflow model, of which the AI score functions as supportive information, reduces radiologists’ reading volume and complements their interpretations.
"Al will really improve the value we deliver tothe patient and the clinicians. lt's importantwe are driving the change as radiologists.
Radiologist at Karolinska University Hospital, SwedenDr. Fredrik Strand, MD
"I am confident that the addition of LunitINSIGHT MMG would improve our servicesto the patients in their breast care'
Consultant Radiologist, RadLink Diagnostic lmagingand Research Center Director, Breast lmagingEssentials, Singapore
Dr.Niketa Chotai, MD
"Lunit Al algorithm accurately detectsbreast cancer lesions overlapping glandulartissues and subtle lesions that are not quiteobvious to the naked eye. lt has certainlyhelped us diagnose more breast cancers indense breasts.
Professor of Radiology, Cairo University, Director of thepresidential campaign for breast cancer screening inKasr Al-Ainy Hospital Cairo University, Egypt
Dr. Sahar, MD
"lt's like you have a smart radiologist by yourside assisting you. Using Al, you will be ableto significantly improve your readingefficiency."
Radiologist at Yonsei University College of Medicine,Yongin Severance Hospital, South KoreaDr. Eun-Kyung Kim, MD
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