AI-CVD Summary
Coronary Calcification
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Aortic Calcification
Epicardial Fat
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Cardiac Chambers
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Aorta & PA Size
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Lung LAI
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Lung HAI
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Liver Fat
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Muscle & Visceral Fat
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Bone Density
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AutoBMD™ is the first FDA-Approved, AI-Powered, Cloud-Based, Opportunistic Bone Mineral Density (BMD) Measurement Test that works on any CT scan.
It enables your doctor to take advantage of CT scans ordered for other purposes and measure your bone density.
don't know about their severe bone loss and hidden spinal fractures while suffering from body pain.
don't know about their severe bone loss and hidden spinal fractures while suffering from body pain.
Introducing
AutoChamber AI
TM
AutoChamber™ is an FDA-cleared AI tool that received FDA Breakthrough Device Designation for for enabling physicians to detect patients with enlarged cardiac chambers and left ventricular hypertrophy that are invisible to the human eye.
Every year, over 10 million chest CT scans are done in the US alone, and among them, many asymptomatic patients with enlarged heart chambers are missed, resulting in late-stage heart failure, atrial fibrillation, stroke, and sudden cardiac death. AutoChamber™ can help physicians identify patients with enlarged cardiac chambers who may warrant additional clinical evaluation or follow-up.
Breakthrough Designation
See the Case Studies
Findings AutoChamber AI May Have Identified Earlier
TM
These two case examples show patients who were deemed low risk because of a Coronary Artery Calcium (CAC) score of 0. Both patients later developed fatal stroke, atrial fibrillation (AF), and heart failure (HF).
AutoChamber™ was run on these patients’ scans and found that both cases had enlarged cardiac chambers and were at high risk of heart failure, atrial fibrillation, and stroke. An AutoChamber™ report may have prompted earlier clinical evaluation and follow-up.
OUR APPROACH
AutoChamber AI Takes Advantage of Existing Chest Scans
TM
AutoChamber™ provides estimates of total cardiac volume and individual chamber volumes and left ventricular wall mass from non-contrast chest CT scans as well as contrast-enhanced chest CT scans.
Using these measurements, AutoChamber™ enables physicians to detect an enlarged heart as well as enlarged individual cardiac chambers. Using these measurements, AutoChamber™ helps physicians identify cardiomegaly; enlargement of the LA, LV, RA, or RV; and LVH, and it reports the cardiothoracic ratio (CTR).
AutoChamber™ AI Sample report
AutoChamber™ is a post-processing software that works on existing and new CT scans.
Catch What a Calcium Score Can’t
Detect Hidden Heart Disease with AutoChamber AI
TM
This graph shows that a significant percentage of people classified as low risk by CAC score (0 or <100) have an enlarged left atrium (LA), a finding associated with higher AF and stroke risk.
Similar results were found for enlarged left ventricle (LV), putting patients at a high risk of heart failure (HF).
References:
• Naghavi M, Reeves AP, Atlas KC, Zhang C, Li D, Atlas T, Henschke CI, Wong ND, Roy SK, Budoff MJ, Yankelevitz DF. AI-Enabled CT Cardiac Chamber Volumetry Predicts Atrial
Fibrillation and Stroke Comparable to MRI. JACC Adv. 2024 Nov 15;3(11):101300.
• Naghavi M, Reeves A, Budoff M, Li D, Atlas K, Zhang C, Atlas T, Roy SK, Henschke CI, Wong ND, Defilippi C, Levy D, Yankelevitz DF. AI-enabled cardiac chambers volumetry in
coronary artery calcium scans (AI-CACTM) predicts heart failure and outperforms NT-proBNP: The multi-ethnic study of Atherosclerosis. J Cardiovasc Comput Tomogr. 2024 Jul-Aug;18(4):392-400.
• Naghavi M, Yankelevitz D, Reeves AP, Budoff MJ, Li D, Atlas K, Zhang C, Atlas TL, Lirette S, Wasserthal J, Roy SK, Henschke C, Wong ND, Defilippi C, Heckbert SR, Greenland P.
AI-enabled left atrial volumetry in coronary artery calcium scans (AI-CACTM) predicts atrial fibrillation as early as one year, improves CHARGE-AF, and outperforms NT-proBNP: The multi-ethnic study of atherosclerosis. J Cardiovasc Comput Tomogr. 2024;18(4):383-391.
• Naghavi M, Reeves, A.P., Atlas, K., Zhang C, Atlas T, Henschke C, Yankelevitz D, Budoff M, Li D, Roy S, Nasir K, Molloi S, Fayad Z, McConnell M, Kakadiaris L, Maron D, Narula J,
Williams K, Shah P, Levy D, Wong N. Artificial intelligence applied to coronary artery calcium scans (AI-CAC) significantly improves cardiovascular events prediction.
npj Digit. Med. 7, 309 (2024).
REPORT FEATURES
How AutoChamber AI Works
TM
AutoChamber™ is an opportunistic AI-powered tool that provides estimates of cardiac volume and cardiac chamber volumes and left ventricular wall mass from non-contrast chest CT scans as well as contrast-enhanced chest CT scans. Using these measurements AutoChamber enables physicians to detect an enlarged heart as well as enlarged individual cardiac chambers, including enlarged left atrium (LA), left ventricle (LV), right atrium (RA), right ventricle (RV), left ventricular hypertrophy (LVH), and reports cardiothoracic ratio (CTR).
Algorithm processing typically takes 5–15 seconds; end-to-end report delivery depends on upload and workflow.
EASY TO USE & IMPLEMENT
It's as Simple as 1-2-3
Step 1
Set up your HeartLung Provider account in 5 minutes
Step 2
Install HeartLung Gateway to send scans to AutoChamber™ cloud automatically
Step 3
Access AutoChamber™ reports on your Provider Portal and opt in to automatically forward reports to patients
Simple & Easy Workflow Integration
AutoChamber™ Workflow
Scientific Publications
Backed by Research
Legend:
• Distribution of AI-CAC LA Volume by CAC Categories, NT-proBNP Quartiles, and CHARGE-AF Risk Score Quartiles. (A) Quartiles of AI-CAC LA volume by 5-year CHARGE-AF risk categories. (B) Quartiles of AI-CAC LA volume by NT-proBNP quartiles.
Legend:
• Quartiles of AI-CAC Left Ventricle (LV) Volume by coronary artery calcium (CAC) and ASCVD Pooled Cohorts Equation Categories.
More Scientific Publications
Backed by Research
Citation:
• Naghavi M, Reeves A, Budoff M, Li D, Atlas K, Zhang C, Atlas T, Roy SK, Henschke CI, Wong ND, Defilippi C, Levy D, Yankelevitz DF. AI-enabled cardiac chambers volumetry in coronary artery calcium scans (AI-CACTM) predicts heart failure and outperforms NT-proBNP: The multi-ethnic study of Atherosclerosis. J Cardiovasc Comput Tomogr. 2024 Jul-Aug;18(4):392-400.
Citation:
• Naghavi M, Yankelevitz D, Reeves AP, Budoff MJ, Li D, Atlas K, Zhang C, Atlas TL, Lirette S, Wasserthal J, Roy SK, Henschke C, Wong ND, Defilippi C, Heckbert SR, Greenland P. AI-enabled left atrial volumetry in coronary artery calcium scans (AI-CACTM) predicts atrial fibrillation as early as one year, improves CHARGE-AF, and outperforms NT-proBNP: The multi-ethnic study of atherosclerosis. J Cardiovasc Comput Tomogr. 2024 Jul-Aug;18(4):383-391.
Legend:
• Cumulative incidence of atrial fibrillation (AF) in the top quartile of AI-CAC left atrial (LA) volume (adjusted by BSA).
Legend:
• AutoChamber AI applied opportunistically to existing CAC scans predicted future heart failure similarly to a cardiac MRI, which is much more expensive and time-consuming.
Cardiac Chambers Volume for Staging Heart Failure
Authors:
• Morteza Naghavi, Seyed Reza Mirjalili, Kyle Atlas, Anthony P. Reeves, Chenyu Zhang, Jakob Wasserthal, Amir Azimi, Thomas Atlas, Claudia I. Henschke, David F. Yankelevitz, Javier J. Zulueta, Jeffrey Mechanick, Andrea Branch, Ning Ma, Rowena Yip, Wenjun Fan, Sion K. Roy, Khurram Nasir, Sabee Molloi, Zahi Fayad, Michael V. McConnell, Ioannis A. Kakadiaris, George Abela, Rozemarijn Vliegenthart, David J. Maron, Jagat Narula, Kim Williams, Prediman K. Shah, Matthew J. Budoff, Daniel Levy, Roxana Mehran, Robert A. Kloner, Nathan D. Wong.
Abstract:
Background and aims:
Type 2 diabetes mellitus (T2DM) is classified as Stage A (at risk) heart failure (HF). We previously showed that artificial intelligence (AI)-detected enlarged cardiac chambers particularly left atrium (LA), left ventricle (LV) and increased LV mass in coronary artery calcium (CAC) scans were strongly associated with HF. In this study, we compare the incidence of HF in individuals with enlarged chambers vs. T2DM.
Methods:
AI-enabled cardiac chambers volumetry was applied to baseline CAC-scans of 5789 MESA participants aged 45–84 (47.7% male, 12.5% T2DM). LA, LV, and LV mass percentiles were indexed by body surface area. We used Cox regression and Kaplan-Meier with log-rank tests to evaluate HF incidence over 19 years. Enlarged chambers were defined as ≥95th percentile.
Results:
In non-T2DM individuals, enlarged LA (HR:5.0 [3.4–7.4]), LV (HR:5.5 [3.7–8.3]), and LV mass (HR:5.4 [3.7–7.9]) were independently associated with HF after full adjustment. Non-T2DM individuals with enlarged LA had higher HF incidence than those with T2DM and normal LA volume (21.7% vs. 10.3%, P=0.001); similar findings were observed for LV mass (18.3% vs. 12.0%, P=0.04). Those with both T2DM and enlarged chambers had higher HF risk compared to either condition alone; except for LA where the risk was not significantly different from having an enlarged LA alone.
Conclusion:
Enlarged LA, LV, and LV mass without T2DM exhibited a greater risk of incident HF than T2DM with normal chambers. Adding cardiac chambers volume and mass to HF staging should be investigated.
Direct and Indirect Revenue
Opportunities for Providers
Before AutoChamber AI
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Coronary Artery Calcium Scan
Before AutoChamber™
LDCT Lung Cancer Screening Scan
Before AutoChamber™
Lung Diagnostic Scan
Before AutoChamber™
Coronary CT Angiography Scan
Before AutoChamber™
After AutoChamber AI
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Coronary Artery Calcium Scan
After AutoChamber™
LDCT Lung Cancer Screening Scan
After AutoChamber™
Lung Diagnostic Scan
After AutoChamber™
Coronary CT Angiography Scan
After AutoChamber™
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TM
Benefits of AutoChamber AI
Opportunistic Value Generator
AutoChamber™ AI enables your imaging center to find life-threatening conditions in asymptomatic patients and generate revenue.
No Capital Investment Needed
Eligible diagnostic imaging centers can add AutoChamber™ reports to compatible chest CT examinations.
Simple and Easy Workflow Integration
Your practice can install the HeartLung gateway and receive AutoChamber™ AI reports directly in your PACS. Your patients can access the report from HeartLung’s web portal and mobile app.
Rapid AI Turnaround Within Minutes
Receive rapid results within minutes of sending your scan to AutoChamber™ AI cloud. No specialized training, learning curve, or calibration phantom is required.
AutoChamber™ is FDA-cleared; also granted FDA Breakthrough Device Designation.
No training or learning curve is needed, and no calibration phantom
No hardware or capital expenditure is required; eligible practices can begin adding reports after setup and verification.
Your patients can access the report from AutoChamber's web portal and mobile app
Receive rapid results within one hour of scan upload to PACS
Frequently Asked Questions
Provider Q&A
Is AutoChamber™ reimbursable, and what CPT code applies?
Yes, AutoChamber™ is reimbursable under the new HCPCS code G0183, with a reimbursement rate of $88.06. This code was released by CMS on April 1st, 2025, following HeartLung’s application for AutoChamber™ reimbursement as an FDA-designated “Breakthrough” medical device.
“New HCPCS Code Describing Software that Reports the Volume of Cardiac Chambers and Left Ventricular Wall Mass, Effective April 1, 2025. CMS is establishing a new HCPCS code, G0183, to describe a software that utilizes data from previously obtained CT scans to report the volume of cardiac chambers and left ventricular wall mass. Table 8 attachment A lists the long descriptor, status indicator, and APC assignment for HCPCS code G0183. For information on OPPS status indicators, please refer to OPPS Addendum D1 of the CY 2025 OPPS/ASC final rule for the latest definitions. This code, along with its short descriptor, status indicator, and payment rate, is also listed in the April 2025 update of the OPPS Addendum B.” https://www.cms.gov/medicare/coding-billing/healthcare-common-procedure-system
Because AutoChamber™ uses existing CT images with no need for additional scans, radiation exposure, or patient scheduling, it’s seamless, low-burden add-on to your current workflow. It not only enhances patient care but also creates a new revenue stream with minimal operational changes.
How does my PACS connect to AutoChamber™ AI cloud?
Your PACS can connect directly using a HeartLung-generated AE title or through the HeartLung Gateway. No additional on-premises hardware is required. The scanned CT images are sent from your PACS to AutoChamber™ AI cloud, where the report is created and sent back to you, and is also accessible on HeartLung’s Provider & Patient Portal. https://provider.heartlung.ai
Do I need a physician’s order to add an AutoChamber™ AI report to a thoracic CT scan?
AutoChamber™ is designed as an opportunistic add-on service that can be applied to existing CT scans. Because it uses images that are already acquired for other medically necessary reasons, a separate physician order specifically for AutoChamber™ is not required. Nonetheless, since referring physicians are responsible for treating patients with enlarged chambers, we strongly recommend informing and engaging all referring physicians.
Which image series should I send to AutoChamber™ AI Cloud?
Only send one axial series to AutoChamber™ AI cloud. For example, the axial series used for coronary artery calcium scoring or lung cancer screening would work. The AutoChamber™ AI module works based on intensity (Hounsfield Units), so please send images generated using the standard convolution kernel without any modifications or reconstructions.
How do I start a free trial?
Simply create an account at https://provider.heartlung.ai and send your first set of DICOM images using the unique AE title that our system generates for your center. You will be contacted within 24 hours for verification and testing of the setup.
