2020.02.18
Press Release
LPIXEL Submits Application to PMDA for EIRL Chest X-ray Lung Nodule2019.10.17
News
LPIXEL Returns to RSNA 20192019.10.15
Press Release
LPIXEL Announces Approval and Launch of Japan’s first Deep Learning-Powered SaMD for Brain MRI, EIRL aneurysm
Chest nodule detection support technology that makes an effective diagnosis possible
EIRL Chest Nodule supports the interpretation process by identifying findings suggestive of lung nodules from chest X-rays that are larger than 5 mm and smaller than 30 mm. The sensitivity of the specialized-rasiologist and the non-specialized radiologist interpreting the images with the software increased by 9.9% and 13.1 % respectively, suggesting an improvement in diagnostic accuracy.
Diagnostic support for detecting brain aneurysms from brain MRA
EIRL Brain Metry can provide consistent, automatic measurements for parameters that are subject to quantitative evaluation or variability among doctors, including the Evans index, Callosal angle, and white matter hyperintensities.
Brain aneurysm detection support technology advanced from MRA
EIRL Aneurysm supports the interpretation process by identifying sac-like structures of aneurysms in brain MRA that are larger than 2 mm. The sensitivity of the doctor interpreting the images without the software was 68.2%. In comparison, the sensitivity with the assistance of the software was 77.2%, suggesting an improvement in diagnostic accuracy.
胸腔内の空気含有面積を自動計測する
肺の萎縮状態検出サポートテクノロジー
実臨床では肺萎縮状態の診断において人力による計算が介入するため、操作者による個人差が発生する可能性があります。自動化することで過去画像との比較など正確性向上に価値を発揮します。
LPIXEL puts focus on a various array of diseases
to optimize doctor's workloads.
LPIXEL is focused on medical image diagnosis support technology with our distinctive algorithm powered by AI, using a numerous amount of medical big data which revolves around medical images such as CTs, MRIs, and pathological images.
What matters to us
EIRL is designed to analyze not only images, but a myriad of information necessary for diagnosis and provide an environment where doctors can make an efficient and accurate diagnosis.
SOLUTION 01
Improve accuracy
Provide doctors feedback by flagging suspicious areas.
SOLUTION 02
Enhance Efficiency
Automatical and quantitativel measurement of index culculation with doctors manual procedures
SOLUTION 03
Generate New Diagnostic Standards
Deliver innovative solutions powered by AI and solve the challenges doctors face.
「 The day has finally come. 」
- Naoyuki Kitamura, founder of MNES Inc., and director of Kasumi Clinic -
The latest updates
News
Press Release
LPIXEL Submits Application to PMDA for EIRL Chest X-ray Lung Nodule
LPIXEL Announces Approval and Launch of Japan’s first Deep Learning-Powered SaMD for Brain MRI, EIRL aneurysm
LPIXEL Installs Annotation Tool at 7 Universities for the National Database for Diagnostic Imaging