Chest CT scan,
Leave it to me!
With the addition of lung cancer screening to the 2019 National Cancer Screening Program, the amount of low-dose chest CT scans that can detect even very small nodules in the lungs has increased. Chest CT takes a long time to read as it is a test performed to check for lung cancer, especially in the early and most treatable stages, and it takes a long time to read because various characteristics revealed in the image must be carefully looked at.
The DEEP:LUNG medical artificial intelligence (AI) solution helps doctors reduce the burden on doctors and increase their work efficiency with fast and precise chest CT image reading.
Whether there are major abnormalities in low-dose CT and chest CT images
Provides location information to assist medical staff in reading.
Advances the performance of low-dose CT and chest CT scans.
DEEP:LUNG uses artificial intelligence (AI) technology to detect abnormal areas (pulmonary nodules, etc.) in low-dose CT and chest CT images of humans and is used to assist medical personnel in making diagnosis. If you input an image in DICOM file format, the outline and probability value of the suspected area of lung disease (pulmonary nodule, etc.) are displayed.
It can reduce the burden of reading time.
If you prioritize image reading based on DEEP:LUNG's analysis result data and proceed with your work, you can expect to improve the efficiency of your CT image reading task. Visualization and quantification of suspicious areas reduces reading time and burden on specialists.
You can focus on the more serious patients first.
By providing anomaly probability information through artificial intelligence (AI) analysis, doctors can quickly filter out normal images and focus on abnormal patients. Especially for radiology residents in emergency departments, it accelerates the decision-making process and treatment, allowing for faster response to patients with potentially high disease severity.
Approval from the Ministry of Food and Drug Safety (No. 20-578)
Marking of suspected pulmonary nodule
1. AI analyzes medical image data related to each disease and assists medical institutions and doctors in reading.
2. It quickly detects the location of the disease and informs the suspect.
3. Easy PACS interworking / It is interlocked with the PACS in the hospital through simple DICOM communication.
Indication of suspected pulmonary nodule (size, nodule possibility detection)
67% More than
85% More than
Ministry of Food and Drug Safety Clinical Trial Results