AI designed to find heart disease in a routine ECG
HEARTio is developing software intended to identify coronary artery disease from the 10-second ECG clinics already record, so that disease can be found earlier. It is an investigational device and is not yet available for clinical use.
Heart attacks happen every minute.
Most are preventable.
Events like heart attacks are linked to the gradual build-up of plaque in the arteries of the heart. The narrowing is silent for years, and today it is usually found only after a patient has symptoms, or after the attack itself.
Finding blockage early means an invasive catheterization, a CT with contrast, or a nuclear perfusion scan. Each needs a referral, a specialist and a machine the patient has to travel to.
What if coronary disease could be found earlier with:
- ✓ No new hardware
- ✓ No surgery
- ✓ Just 10 seconds
- ✓ No contrast or radiation
That's what HEARTio is being built for. Software designed to flag coronary blockage before it causes a heart attack.
AI software under development to read a routine ECG for coronary disease
HEARTio is intended to help providers find coronary artery disease earlier. The input is the same 10-second resting ECG that clinics, emergency departments and wearables already capture. The software is investigational and has not been cleared or approved by the FDA.
What the software is designed to offer
Engineers, cardiologists and operators, together
A founding team out of the University of Pittsburgh and the Wharton School, backed by advisors across interventional and nuclear cardiology, emergency medicine, regulatory affairs and capital markets.
HEARTio Executive Team
Email any of us to learn more.
Clinical Advisory
Interventional, nuclear and structural cardiology, cardiothoracic surgery, critical care and emergency medicine.
Product Development Board
ECG interpretation, medical AI and clinical strategy.
Business & Strategy
Medtech operators, product leaders and global strategy.
Regulatory & Reimbursement
FDA, quality systems, biostatistics and reimbursement.
Capital Raising & Financial
Investors, clinical partners and programs behind HEARTio
The health systems that share the data, the funds that back the company, and the accelerators that shaped it.
Investors
Clinical Partners
Incubators & Accelerators
Awards & Honors
Recent news
Watch
Talks and pitches from the team. Each recording reflects the date it was given.
Peer-reviewed work behind the platform
Selected HEARTio publications, from lead reconstruction to angiography- and PET-verified disease prediction.
- 2026JACC AdvancesView paperUse of Electrocardiograms to Identify Coronary Artery DiseaseLeasure M, Poornima I, Butchy A, et al. JACC: Advances. 2026;5(3):102573.doi:10.1016/j.jacadv.2025.102573
- 2025JACC · TCTView paperTCT-898 A PET-CT verified AI Algorithm to predict the ischemic impact of Coronary Artery DiseaseLeasure M, Mintz G, Covalesky V, Jain U, Butchy A. JACC. 2025;86(17):B386-B387.doi:10.1016/j.jacc.2025.09.1081
- 2024medRxivView paperArtificial Intelligence Analysis of ECG to Determine Fractional Flow Reserve (FFR)Kalińczuk Ł, Zieliński K, Sadowski KA, et al. Published online August 28, 2024.doi:10.1101/2024.08.27.24312672
- 2023IEEE BIBMView paperClassification of Abnormal Cardiac Rhythm from Brief Single-Lead ECG Recordings using Embeddings from Transformer Encoder ModelsJain U, Menon PG. 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 2023:4899-4901.doi:10.1109/bibm58861.2023.10385454
- 2023CirculationView paperAbstract 18317: Implications of Noise on Deep Learning Models for 12-Lead ECG ConstructionJain U, Leasure M, Butchy A, Covalesky VA, Mintz GS. Circulation. 2023;148(Suppl_1).doi:10.1161/circ.148.suppl_1.18317
- 2023BIOSTECView paperRedundancy and Novelty Between ECG Leads Based on Linear CorrelationJain U, Butchy A, Leasure M, Covalesky V, McCormick D, Mintz G. Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies. 2023:359-365.doi:10.5220/0011815700003414
- 2022BIOSIGNALSView paper12-Lead ECG Reconstruction via Combinatoric Inclusion of Fewer Standard ECG Leads with Implications for Lead Information and SignificanceJain U, Butchy A, Leasure M, Covalesky V, McCormick D, Mintz G. BIOSIGNALS. Published online 2022.doi:10.5220/0010788600003123
- 2021CirculationView paperAbstract 13330: Deep Learning Algorithm Predicts Angiographic Diameter Stenosis in Stable Patients Using Only a Standard 12-lead ElectrocardiogramLeasure M, Jain U, Covalesky VA, McCormick DJ, Mintz GS. Circulation. 2021;144(Suppl_1).doi:10.1161/circ.144.suppl_1.13330
- 2021JACC · TCTView paperTCT-60 Deep-Learning Algorithm Predicts Presence of Angiographic Coronary Artery Disease in Stable Patients Using Only a Standard 12-Lead ElectrocardiogramJain U, Leasure M, Butchy A, Covalesky V, McCormick D, Mintz G. Journal of the American College of Cardiology. 2021;78(19):B24-B25.doi:10.1016/j.jacc.2021.09.910
- 2021Can J CardiolView paperDeep Learning Algorithm Predicts Angiographic Coronary Artery Disease in Stable Patients Using Only a Standard 12-Lead ElectrocardiogramLeasure M, Jain U, Butchy A, et al. Canadian Journal of Cardiology. 2021;37(11):1715-1724.doi:10.1016/j.cjca.2021.08.005
See the research console
The ECGio Analysis Console is available to partners and investors for research and demonstration purposes only. Drop in an ECG file, or pick a sample record, and see the model's estimates. It is not for clinical use and must not inform patient care.
ECGio Analysis Console
Upload a resting ECG in the format your machine exports. The console reads it and returns thirty-six outputs — coronary, perfusion, structural, infarct, function and the 12-lead reconstruction — each beside the recorded validation of the head that produced it, and a downloadable seven-page summary.
Sign-in required. Request access. Research use only.
- Any ECG, any format12-lead or fewer, any sampling rate. Even a single-lead watch strip is handled, with the caveat shown.
- Or a photo of the paperNo digital export? Photograph or scan the print-out. Each trace is read off the grid and digitised, and the leads it recovered are shown for review before anything is analysed.
- See the ECG the model readThe recording is shown lead by lead beside the estimates, so nothing is a black box to the reviewer.
- Coronary tree and flow mapPer-vessel stenosis on an angiographer's coronary tree, and predicted flow reserve across the four myocardial territories.
- Report and JSON exportA PDF summary for review and a structured document for research integration.