Knowledge Center | HeartLung.AI

HeartLung.AI Showcases 10 Scientific Presentations at ESC Congress 2026, Advancing AI-Powered Cardiovascular and Lung Imaging

Company-record scientific program shows how AI can uncover coronary, chamber, valvular, plaque and lung cancer risk insights from routine CT. MUNICH, Germany, September 1, 2026- HeartLung.AI today announced the successful completion of a company-record scientific program at ESC Congress 2026 in Munich, where its investigators and academic collaborators presented 10 studies advancing artificial intelligence for cardiovascular prevention, coronary calcium assessment, cardiac ch

Updates

Sep 19 min read

What cardiac insights are hiding in millions of routine chest CTs?

ESC 2026 · 10 Scientific Presentations · Oral & Poster · 6/10 CT vs. Echo: Unlocking More From Existing Imaging Approximately 19 million non-gated chest (lung) CT scans are performed in the U.S. each year for a wide range of clinical indications. These scans are not primarily acquired to evaluate cardiovascular disease - but could AI unlock cardiovascular information already captured within them? At ESC Congress 2026, HeartLung.AI presented a study comparing AI-derived ca

Aug 241 min read

What if a routine coronary artery calcium scan could see aortic stenosis risk before symptoms?

ESC 2026 · 10 Scientific Presentations · Oral & Poster · 7/10 One CT. 25 automated phenotypes. Nearly two decades of follow-up. Aortic stenosis is often recognized only after obstruction or myocardial damage has already developed. But could information already captured in a routine noncontrast cardiac CT help identify risk much earlier?' In a new HeartLung.AI scientific poster at ESC Congress 2026, researchers explored whether AI-CVD-derived imaging phenotypes could predi

Aug 241 min read

20 Million Chest CTs. Why Aren’t We Using All the Information They Contain?

ESC Congress 2026 · Scientific Poster Nearly 20 million chest CT scans are performed each year in the U.S.—yet fewer than 5% are ECG-gated. What if AI could extract meaningful cardiac information from the routine non-gated chest CTs already being performed every day? In a new HeartLung.AI scientific poster at ESC Congress 2026, researchers evaluated AI-based cardiac chamber volumetry from non-gated chest CT and compared its ability to predict heart failure (HF) and atrial fib

Slide Presentations

Aug 241 min read

What if low CAC doesn’t always mean low coronary risk?

ESC 2026 · 10 Scientific Presentations · Oral & Poster · 9/10 Low CAC. Higher EAT. More non-calcified plaque. A low coronary artery calcium (CAC) score can be reassuring - but it may not tell the whole story. Some individuals with low or even zero CAC may still carry non-calcified coronary plaque. Could another biomarker already visible on the same scan help identify them? In a new HeartLung.AI scientific poster at ESC Congress 2026, researchers investigated whether autom

Aug 241 min read

Agatston-2.0: AI-Derived Calcium Burden and Plaque Density Profiling Improve CHD Risk Stratification Within CAC Scores 1–99

Can AI turn the CAC 1–99 “gray zone” into actionable cardiovascular risk? A new HeartLung.AI study, to be presented at ESC Congress 2026 in Munich, explores how Agatston-2.0 can improve coronary heart disease (CHD) risk stratification among individuals with conventional CAC scores of 1–99. The study analyzed 1,542 participants from MESA and the Framingham Heart Study, with a median follow-up of 12.5 years and 151 CHD events. Using measurements derived from a single CAC scan,

Slide Presentations

Aug 241 min read

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