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
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AutoChamber™ is the first FDA-approved AI that received “Breakthrough” designation for enabling physicians to detect patients with enlarged cardiac chambers and left ventricular hypertrophy that are invisible to the human eye.
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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™ AI can help physicians fill this gap and save many lives from preventable cardiovascular death.
Breakthrough Designation
See the Case Studies
These lives could have been saved by AutoChamber AI
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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).
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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. The add-on AutoChamber™ report could have been life-saving.
OUR APPROACH
AutoChamber AI Takes Advantage of Existing Chest Scans
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AutoChamber™ provides an estimate of cardiac volume, cardiac chambers 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 enlarged heart as well as enlarged individual cardiac chambers, including enlarged left atrium (LA), left ventricle (LV), right atrium (RA), right ventricle (RV), flags left ventricular hypertrophy (LVH), and reports 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
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This graph shows a significant percentage of people who are classified as low risk based on coronary artery calcium (CAC) scores of zero or below 100 have an enlarged left atrium (LA) that puts them at a high risk of atrial fibrillation (AF) and stroke.
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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.
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• 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.
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• 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.
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• 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
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AutoChamber™ is an opportunistic AI-powered tool that provides an estimate of cardiac volume, cardiac chambers 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 enlarged heart as well as enlarged individual cardiac chambers, including enlarged left atrium (LA), left ventricle (LV), right atrium (RA), right ventricle (RV), left ventricle hypertrophy (LVH), and reports cardiothoracic ratio (CTR).
The process takes 5-15 seconds and works both on cardiac and full-chest CT scans. The results are comparable to cardiac MRI and contrast-enhanced cardiac CT scans.
An In-Depth Look
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.
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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.
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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.
More Scientific Publications
Backed by Research
Citation:
• Naghavi, M, Reeves, A, Atlas, K. et al. AI-Enabled CT Cardiac Chamber Volumetry Predicts Atrial Fibrillation and Stroke Comparable to MRI. JACC Adv. 2024 Nov, 3 (11).
Citation:
• Onnis, C, van Assen, M. New Frontiers for Predicting Atrial Fibrillation and Stroke: AI-Based Left Atrial Volumetry. JACC Adv. 2024 Nov, 3 (11).
Legend:
• 1-year prediction of incident atrial fibrillation by AI-CAC left atrial volume, NT-proBNP, CHARGE-AF risk score, and Agatston CAC score.
Legend:
• Central Illustration: AI-enabled left cardiac chambers volumetry in CT scans predicts atrial fibrillation and stroke comparably to MRI and outperforms NT-proBNP and agatston CAC score over 15 years.
Direct and Indirect Revenue
Opportunities for Providers
Before AutoChamber AI
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After AutoChamber AI
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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
Any diagnostic imaging center from anywhere in the world can sign up and start adding AutoChamber™ AI reports to any chest CT scans.
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 training or learning curve is needed and no calibration phantom.
AutoChamber™ is FDA approved as a 'breakthrough' AI and received clearance for patient care
No training or learning curve is needed, and no calibration phantom
No hardware or CapEx is required, your practice can start adding reports immediately
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™ reimbursed? If yes, what CPT code?
Yes, AutoChamber™ is reimbursable under the new category 3 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
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Because AutoChamber™ uses existing CT images with no need for additional scans, radiation exposure, or patient scheduling, it’s a seamless, no-brainer add-on to your current workflow. It not only enhances patient care but also creates a new revenue stream with minimal operational changes.
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How does my PACS connect to AutoChamber™ AI cloud?
Your PACS can easily connect to AutoChamber™ cloud through a direct link using your unique AE title generated by HeartLung, or via a HeartLung Gateway installed, and no hardware installation 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
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Do I need a physician’s order to add an AutoChamber™ AI report to a thoracic or 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.
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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.