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See how we can get your algorithm to the finish line, or calculate an estimated ROI from implementing our solutions.
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.
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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
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.
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Dr. John Smith
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Patient
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Dr. John Smith
Patient
Havard University
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Sue Smith
Physician
Stanford University
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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
one integrated solution
Each suite is composed of tested and approved algorithms, letting you reap their cumulative benefits upon implementation.
Chest x-ray
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
Con chest scan
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
Non-con chest scan
Evidence
90.3%
Positive predictive value identifying calcium scores of greater than 100
89.5%
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.
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
