CAC on non-gated CT
UTMB

UTMB transforms 63% of routine chest CTs into early CAD detection with Bunkerhill Health

2,221

Patients received a CT for non-cardiac reasons over a 4-month period.

63.6%

Of 2,221 patients, 1,412 had a CAC score ≥ 100.

11.7%

passed our filters and were unaware of their condition.

Health system
UTMB
Headquarters
Galveston, TX
# of beds
1,612
# of clinicians
2,201

The challenge

Millions of patients undergo routine chest CTs each year, yet many opportunities to uncover silent signs of coronary artery disease go unnoticed. UTMB sought a way to turn these routine scans into powerful, life-saving tools without disrupting workflows or increasing costs.

The solution

With Bunkerhill Health’s iCAC tool, UTMB streamlined coronary calcium scoring, integrating AI to provide precise Agatston scores and risk stratifications, improving efficiency and care for their diverse patient population.

About UTMB

UTMB Health is a leading academic medical institution with over a century of expertise in delivering high-quality, innovative cardiovascular care.
UTMB relied on traditional methods of CAD detection, which often missed opportunities for early intervention during routine imaging, leaving some patients unaware of their cardiovascular risks.

A look at their success

iCAC enables proactive cardiovascular risk assessment at scale by identifying coronary artery calcification in routine chest CTs, helping health systems detect risk earlier in asymptomatic patients.
Automated filtering ensures only patients without prior cardiovascular care are flagged, reducing unnecessary follow-ups while improving targeted intervention rates.
Better long-term health outcomes through early lifestyle interventions, preventive treatments, and structured follow-up pathways, helping to lower cardiovascular disease burden across populations.
"We implemented Bunkerhill's iCAC solution because we see tremendous potential for it to elevate the accuracy and efficiency of early detection and to increase our ability to deliver evidence-based care to everyone we serve."
Dr. Peter McCaffrey
Chief AI Officer