PulseImaging
Improve cardiovascular treatment planning with AI-enabled predictive analytics
CardioVision
End-to-end CT/IVOCT solutions.
Proactively identify patients at risk for cardiovascular disease with novel AI-derived insights from routine scans.
Technical Approach
Research
CardioVision
End-to-end CT/IVOCT solutions.
Proactively identify patients at risk for cardiovascular disease with novel AI-derived insights from routine scans.
Technical Approach
Research
CardioVision
End-to-end CT/IVOCT solutions.
Proactively identify patients at risk for cardiovascular disease with novel AI-derived insights from routine scans.
Technical Approach
Research
NIH STTR Phase I Grant Awarded
PulseImaging.AI will develop software for improving cardiovascular risk prediction from low-cost CT calcium score exams.
Advanced algorithms will be used to extract quantitative features from coronary calcifications ("calcium-omics") and epicardial adipose tissue ("fat-omics") to improve prediction of future cardiovascular events beyond the conventional Agatston score.
Dollars Awarded
$304k
Fiscal Year
2025
NIH STTR Phase I Grant Awarded
PulseImaging.AI will develop software for improving cardiovascular risk prediction from low-cost CT calcium score exams.
Advanced algorithms will be used to extract quantitative features from coronary calcifications ("calcium-omics") and epicardial adipose tissue ("fat-omics") to improve prediction of future cardiovascular events beyond the conventional Agatston score.
Dollars Awarded
$304k
Fiscal Year
2025
Calcium-Omics
Our software automatically extracts high-dimensional calcium-omics features from individual calcified lesions, arterial territories, and the whole heart, enabling comprehensive characterization of coronary calcification.
C-index
>0.83
Hazard Ratio
>3.4
Revamping an E-Commerce Website
Redesigned an existing e-commerce website to improve the user experience and increase sales, including a streamlined checkout process and improved navigation.
Dollars Awarded
$304k
Fiscal Year
2025
Epicardial Fat-Omics
Fat-omics features comprise over 200 handcrafted imaging biomarkers that characterize the morphology, intensity, and spatial distribution of epicardial adipose tissue.
C-index
>0.81
Hazard Ratio
>2.8
Developing a Mobile Health Tracking App
The client, a well-established e-commerce platform, sought to improve their website's navigation to enhance user experience and increase conversion rates.
Dollars Awarded
150%
Fiscal Year
2025
News & Publications
Hybrid deep learning time-to-event modeling of major adverse cardiovascular events using coronary artery calcium score scans
Hybrid deep learning time-to-event modeling of major adverse cardiovascular events using coronary artery calcium score scans
European Journal of Radiology Artificial Intelligence
European Journal of Radiology Artificial Intelligence
09/2026
09/2026
Sub-Agatston coronary calcification on non-contrast cardiac CT and cardiovascular risk
Sub-Agatston coronary calcification on non-contrast cardiac CT and cardiovascular risk
European Journal of Preventive Cardiology
European Journal of Preventive Cardiology
6/2026
6/2026
Prediction of obstructive coronary artery disease using coronary calcification and epicardial adipose tissue assessments from CT calcium scoring scans
Prediction of obstructive coronary artery disease using coronary calcification and epicardial adipose tissue assessments from CT calcium scoring scans
Journal of Cardiovascular Computed Tomography
Journal of Cardiovascular Computed Tomography
04/2025
04/2025
Careers
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Cleveland, OH | Remote, US
Cleveland, OH | Remote, US