InferRead® CT Lung
Artificial Intelligence Solution for Lung CT
Effective for detecting small nodules, comparing nodule evolution and improving clinical decision
FDA
NMPA
UKCA
01
Automatic lung nodule detection
Lung nodule detection for lung cancer screening and opportunistic screening
Pure GGN
Solid Nodule
Suspicious Tumor
Mixed GGN
02
Quantitative Analysis of Total Lung Health
Automatic analysis of density and volume in each lung lobe provides real-time monitoring of lung health.
The system performs precise analysis of abnormal densities across the entire lung, which can help physicians identify abnormalities such as emphysema, ILD and other irregular density patterns, and also supports accurate screening of individuals at high risk for lung cancer.
03
Control of the big 3 diseases
Quantitative imaging of lung nodule growth (an imaging biomarker for lung cancer), emphysema (a type of chronic obstructive pulmonary disease (COPD)), and coronary artery calcification (CAC) (a biomarker of cardiovascular disease)
CAC
COPD
Lung Nodule
*For research purposes only
04
Smart Tracking
Automatic registration of previous and primary CT scans
*VDT: Volume doubling timeFor illustrative purposes only
Previous Study
Average diameter (mm):
3.3
Volume (mm3):
19.7
Follow-up Study
Average diameter (mm):
7.6
Volume (mm3):
300.65
*Not commercially available in all markets
05
Intelligent structured report
Intelligent structured reports that are automatically generated and integrated into physicians' workflows.
*For example purposes only
TECHNICAL ADVANTAGES
Accessible browser-based viewer
In-hospital and cloud-based deployment
PACS and RIS friendly
CEO and Founder of SimonMed
Dr. John Simon
“The use of InferRead® CT Lung is another example of SimonMed using cutting-edge technological advances to improve patient care by helping to deliver more accurate diagnoses by better identifying sequential changes in nodules using multi-dimensional analysis, as well as providing enhanced detection sensitivity.”
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