Coronary <text-span>artery calcium<text-span>

"Over 300 hospitals have implemented it, and for good reason — the up to $4 million ROI per year speaks for itself. "

<text-span>25% of patients<text-span> have indications of early cardiovascular disease without a diagnosis

Nonspecific or atypical symptoms limit doctors’ abilities to spot disease before
it’s too late.

Bunkerhill detects <text-span>early signs<text-span> of cardiovascular disease...

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Aortic Calcification

...by analyzing routine scans already conducted in your <text-span>clinical practice<text-span>

Our suite integrates seamlessly with standard workflow, flagging patients that may be undiagnosed.

Routine
Chest X-Rays
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Sue Smith
Physician

Delivering life-saving <text-span>cardiology<text-span> care to more patients

We’re serving an unmet need and ensuring that patients receive the highest-quality care

<text-span-black>25<text-span-black> average patients with a calcium score >100 that receive a scan, the cutoff at which AHA guidelines recommend initiation of statin therapy

<text-span-black>225<text-span-black> average additional patients treated per 5,000 scans

<text-span-black>$2M<text-span-black> average additional topline revenue per 5,000 scans

ROI calculator
ROI Calculator
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Average additional patients treated per ### scans

$0 million

Average additional topline revenue per ### scans

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Average profit (assuming 20% margin for the cardiovascular service line) per ### scans

0.043

221.7

44.34

Automated coronary calcium scoring using deep learning with multicenter external validation
Deployed by the top hospitals in the country

Our cardiology suite has transformed practice and improved the bottom line.

Dr. John Smith
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Patient
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Dr. John Smith
Patient
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Sue Smith
Physician
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Seamless patient reports,
incorporated into familiar workflows

Translating reports into clinical action is intuitive and easy.

Receive a weekly digest of patients with a CAC score >100
We flag scores >100 and alert you to high-priority patients.
Translating reports into clinical action is intuitive and easy.
Our team will work with you to accelerate your decision-making.
Validated AI algorithims,
one integrated solution

Each suite is composed of tested and approved algorithms, letting you reap their cumulative benefits upon implementation.

Evidence
34.5%
Positive predictive value identifying calcium scores of greater than 100
49.9%
Positive predictive value identifying calcium scores of greater than 100
Publications
June 1, 2021
Automated coronary calcium scoring using deep learning with multicenter external validation
Adoption of deep learning models could allow more patients to be screened with CAC scoring, potentially allowing opportunistic early preventive interventions.
September 30, 2021
Artificial Intelligence Myth Vs Reality: Where Do Healthcare Experts Think We Stand?
Born out of Stanford University's Artificial Intelligence in Medicine and Imaging (AIMI) Center, BunkerHill does not develop AI algorithms itself, but instead is building a platform and network of health systems to allow them to test algorithms against different data sets.
Teams
Dr. Safwan Halabi
Vice Chair of Imaging Informatics,
Lurie Children’s Hospital
Dr. John Smith
Test Provider
Dr. Ross Filice
Chief of Imaging Informatics, MedStar
Dr. Samir Shah
Former Chief Clinical Officer,
Envision Radiology

How a team of <text-span>Harvard researchers<text-span> brought an <text-span>algorithm<text-span> to over 300 hospitals

our blueprint

Evidence
90.45%
Positive predictive value identifying calcium scores of greater than 100
88.34%
Negative predicted value identifying calcium scores of greater than 100
Publications
June 1, 2021
Automated coronary calcium scoring using deep learning with multicenter external validation
Adoption of deep learning models could allow more patients to be screened with CAC scoring, potentially allowing opportunistic early preventive interventions.
November 16, 2023
Dana Farber using Opportunistic Cardiovascular Screening
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Teams
Dr. Curt Langlotz
Director, Center for Artificial Intelligence in Medicine and Imaging
Dr. David Larson
Senior Vice Chair, Strategy and Clinical Operations at Stanford
Dr. John Smith
Test Provider
Dr. Samir Shah
Former Chief Clinical Officer,
Envision Radiology

How a team of <text-span>University of Kentucky<text-span> researchers brought an algorithm to over <text-span>300 hospitals<text-span>

our blueprint

Evidence
6.9%
% high-risk patients who get started on statins under the current standard of care (NOTIFY-1 RCT)
51.2%
% high-risk patients who get started on statins using the Bunkerhill algorithm and follow up workflow (NOTIFY-1 RCT)
Publications
June 1, 2021
Automated coronary calcium scoring using deep learning with multicenter external validation
Adoption of deep learning models could allow more patients to be screened with CAC scoring, potentially allowing opportunistic early preventive interventions.
Association of Coronary Artery Calcium Detected by Routine Ungated CT Imaging With Cardiovascular Outcomes
Teams
Dr. Curt Langlotz
Director, Center for Artificial Intelligence in Medicine and Imaging
Dr. Samir Shah
Former Chief Clinical Officer,
Envision Radiology
Dr. Ross Filice
Chief of Imaging Informatics, MedStar
Dr. Safwan Halabi
Vice Chair of Imaging Informatics,
Lurie Children’s Hospital
Dr. David Larson
Senior Vice Chair, Strategy and Clinical Operations at Stanford

How a team of Stanford researchers <text-span>brought an algorithm<text-span> to over <text-span>300 hospitals<text-span>

our blueprint