InferRead Series

InferRead® CT Lung

AI Solution for Chest CT

effective for detecting small nodules, comparing nodule development and improve clinical decision

99%*

sensitivity by AI-assisted reading

*read evidence here

33%*

reduction in reading time

*read evidence here

01

Automatic lung nodule detection

Lung nodule detection for lung cancer screening and opportunistic screening

Pure GGN
Solid Nodule
Suspected Tumor
Mixed GGN

02

Quantitative Analysis of Whole Lung Health

Automated analysis of density and volume in each pulmonary lobe, providing real-time monitoring of lung health.

The system performs precise analysis of abnormal densities across the entire lung, which could assist physicians in identifying abnormalities such as emphysema, ILD and other irregular density patterns, as well as supporting accurate screening of individuals at high risk for lung cancer.

For illustration purpose only

03

Checking for Big 3 diseases

Quantitative imaging of lung nodule growth (an imaging biomarker for lung cancer), emphysema (a type of chronic obstructive pulmonary disease COPD), coronary artery calcification CAC (a biomarker of cardiovascular disease)

CAC
COPD
Lung Nodule
*For investigational use only

04

Intelligent Follow-up

Automated registration of prior and primary CT scans

*VDT: Volume doubling time
For illustration purpose only

Prior Study
Mean diameter(mm):
3.3
Volume(mm3):
19.7

Follow-up Study
Mean diameter(mm):
7.6
Volume(mm3):
300.65

*Not commercially available in all markets

05

Smart structured report

Smart structured report generated automatically and integrated into doctors' workflow.

*For illustration purpose only
CEO & Founder of SimonMed

Dr. John Simon

“The utilization of InferRead® CT Lung is another example of SimonMed using the newest technological advancements to improve patient care by helping to provide more accurate diagnoses, including using multi-dimensional analyses to better identify sequential changes in nodules, as well as providing improved detection sensitivity. ”

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