HeartLung AI

Publications

Peer-reviewed research on AI-enabled cardiovascular imaging, quantitative biomarkers, and risk associations.

Featured Research

Aortic and Pulmonary Artery Diameters Measured by AI on Coronary Calcium Scans and Incident Cerebrovascular Events, Atrial Fibrillation and Heart Failure Independent of Ventricular Geometry

Submitted MESA analysis of AI-measured aortic and pulmonary artery diameters on CAC scans and their associations with cerebrovascular events, atrial fibrillation, and heart failure.

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Scientific Publications

Artificial Intelligence-derived Measurements of Myosteatosis from Coronary Artery Calcium CT Scans to Predict COPD

Artificial Intelligence-derived Measurements of Myosteatosis from Coronary Artery Calcium CT Scans to Predict COPD: The Multi-Ethnic Study of Atherosclerosis

Agatston-2.0

Agatston-2.0: A next-generation AI-based coronary calcium quantification approach to improve risk stratification among individuals with zero Agatston scores – Part I: An AI-CVD Study within the Multi-Ethnic Study of Atherosclerosis and Framingham Heart Study

Opportunistic AI for Cardiovascular Risk Prediction based on Chest X-Ray: An AI-CVD Study within MIMIC

AI may serve as an opportunistic CXR-based trigger for formal CVD risk assessment and selective CAC evaluation when clinical risk inputs are missing or conventional risk appears low.

AI-CVD-HF

A heart failure risk prediction model based on coronary artery
calcium scans compared with PREVENT-HF

Aortic and Pulmonary Artery Diameters Measured by AI on Coronary Calcium Scans and Incident Cerebrovascular Events, Atrial Fibrillation and Heart Failure Independent of Ventricular Geometry

Submitted MESA analysis of AI-measured aortic and pulmonary artery diameters on CAC scans and their associations with cerebrovascular events, atrial fibrillation, and heart failure.

AI-CAC and cardiac MRI left atrial volume prediction of atrial fibrillation and stroke, with ROC curves and case examples.

AI-Enabled CT Cardiac Chamber Volumetry Predicts Atrial Fibrillation and Stroke Comparable to MRI

Published research | JACC: Advances, November 2024 This study evaluates whether AI-enabled automated left atrial (LA) volumetry from routine noncontrast coronary artery calcium (CAC) CT scans can predict atrial fibrillation (AF) and stroke as effectively as expert-measured LA volume on cardiac MRI (CMRI). The work also compares these imaging measures with established risk markers. Study design The analysis used 15-year outcome data from 3,552 asymptomatic MESA participants wh

AI-CVD aortic stenosis study infographic showing MESA cohort design, associations of CT calcification phenotypes with AS, model validation, and prediction performance.

Long-Term Risk Prediction and Detection of Aortic Stenosis From AI-Quantified Multisite Calcification on Noncontrast CT: An AI-CVD Analysis of MESA

Submitted manuscript | Original research review Aortic stenosis (AS) can remain clinically silent until advanced disease, while structural changes may begin earlier. This MESA-focused study evaluated whether AI-derived cardiovascular phenotypes measured on noncontrast cardiac CT are associated with incident AS and can improve long-term prediction, alongside a separate model for AS detection. Study design The prediction analysis included 5,520 MESA participants with baseline n

Study infographic comparing AI-enabled lung cancer likelihood assessment on paired coronary artery calcium and chest CT scans in MESA and Framingham participants.

Comparing AI-Enabled Opportunistic Detection of Lung Cancer on CAC Scans versus Chest CT: A Pooled MESA and Framingham Analysis

Submitted manuscript | Original research review Lung cancer is often diagnosed in people who do not meet current screening criteria. This pooled cohort study examines whether an AI system can use coronary artery calcium (CAC) scans, obtained for cardiovascular assessment, to identify lung cancer opportunistically, and compares performance with paired chest CT. Study design The analysis included 3,816 participants from MESA Examination 5 and the Framingham Heart Study who had

Study infographic comparing Sybil, a MONAI nodule model, and their composite for one-year lung cancer detection in low-dose CT screening cohorts.

Comparison of Two Deep Learning Models and Their Combination for One-Year Lung Cancer Detection in Two Screening Cohorts

Submitted manuscript | Original research review This study compares two complementary deep-learning approaches for detecting lung cancer within one year of baseline low-dose CT (LDCT) screening: Sybil, which analyzes the whole scan, and a MONAI-based model focused on pulmonary nodules. It also evaluates a prespecified composite model designed to combine their signals. Study design The retrospective analysis included 5,110 baseline LDCT examinations from two screening cohorts:

Agatston-2.0 Part III study illustration: AI-CAC risk phenotypes and 10-year CHD incidence among adults with conventional CAC scores of 1–99.

Agatston-2.0: AI-CAC Reclassifies CHD Risk Within Conventional CAC 1–99 — Part III

Submitted manuscript | Original research review Agatston-2.0 is an AI-enabled approach to coronary artery calcium (CAC) CT that characterizes plaque distribution and density, aiming to add risk information beyond the conventional Agatston score. This Part III analysis examined whether the approach could further stratify adults whose conventional CAC scores were 1–99. Study design The pooled observational analysis included 1,542 participants from MESA (n=1,142) and the Framing

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AI-enabled opportunistic left ventricular volumetry in coronary artery calcium scans predicts heart failure comparably to cardiac MRI: An AI-CVD study with the Multi-Ethnic Study of Atherosclerosis (MESA)

Morteza Naghavi, Kyle Atlas, Anthony P Reeves, Chenyu Zhang, Thomas Atlas, Sion K Roy, Matthew J Budoff, Claudia I Henschke, David F Yankelevitz, Jagat Narula, Nathan D Wong. J Cardiovasc Comput Tomogr. 2025 Jul 24

Opportunistic AI-derived adiposity measures from coronary artery calcium scans predict new-onset type 2 diabetes in adults without obesity or hyperglycemia: insights from the AI-CVD study within MESA

Morteza Naghavi, Amir Azimi, Kyle Atlas, Anthony P Reeves, Chenyu Zhang, Jakob Wasserthal, Seyed Reza Mirjalili, Mohammadhossein Mozafarybazargany, Ali Hashemi, Thomas Atlas, Claudia I Henschke, David F Yankelevitz, Jeffrey I Mechanick, Andrea D Branch, Susan K Fried, Khurram Nasir, Zahi A Fayad, Michael V McConnell, Rozemarijn Vliegenthart, David J Maron, Jagat Narula, Kim A Williams Sr, Prediman K Shah, Matthew J Budoff, Daniel Levy, Emelia J Benjamin, Robert A Kloner, Nathan D Wong. Diabetol Metab Syndr. 2025 Nov 6;17(1):419.

AI-enabled opportunistic measurement of liver steatosis in coronary artery calcium scans predicts cardiovascular events and all-cause mortality: an AI-CVD study within the Multi-Ethnic Study of Atherosclerosis (MESA)

Morteza Naghavi, Kyle Atlas, Anthony Reeves, Chenyu Zhang, Jakob Wasserthal, Thomas Atlas, Claudia I Henschke, David F Yankelevitz, Javier J Zulueta, Matthew J Budoff, Andrea D Branch, Ning Ma, Rowena Yip, Wenjun Fan, Sion K Roy, Khurram Nasir, Sabee Molloi, Zahi Fayad, Michael V McConnell, Ioannis Kakadiaris, David J Maron , Jagat Narula, Kim Williams, Prediman K Shah, George Abela, Rozemarijn Vliegenthart, Daniel Levy, Nathan D Wong. BMJ Open Diabetes Res Care. 2025 Apr 12;13(2):e004760.

AI-Enabled CT Cardiac Chamber Volumetry Predicts Atrial Fibrillation and Stroke Comparable to MRI

Morteza Naghavi MD, Anthony P. Reeves PhD, Kyle C. Atlas MS, Chenyu Zhang MS, Dong Li PhD, Thomas Atlas MD, Claudia I. Henschke MD, Nathan D. Wong PhD, Sion K. Roy MD, Matthew J. Budoff MD, David F. Yankelevitz MD. AI-Enabled CT Cardiac Chamber Volumetry Predicts Atrial Fibrillation and Stroke Comparable to MRI, JACC: Advances, Volume 3, Issue 11, 2024, 101300, ISSN 2772-963X.

Editorial: New Frontiers for Predicting Atrial Fibrillation and Stroke: AI-Based Left Atrial Volumetry

Onnis, C, van Assen, M. New Frontiers for Predicting Atrial Fibrillation and Stroke: AI-Based Left Atrial Volumetry. JACC Adv. 2024 Nov, 3 (11). https://doi.org/10.1016/j.jacadv.2024.101299

A rtificial intelligence applied to coronary artery calcium scans (AI-CAC) significantly improves cardiovascular events prediction

Naghavi M, Reeves AP, Atlas K, Zhang C, Atlas T, Henschke CI, Yankelevitz DF, Budoff MJ, Li D, Roy SK, Nasir K, Molloi S, Fayad Z, McConnell MV, Kakadiaris I, Maron DJ, Narula J, Williams K, Shah PK, Levy D, Wong ND. Artificial intelligence applied to coronary artery calcium scans (AI-CAC) significantly improves cardiovascular events prediction. NPJ Digit Med. 2024 Nov 5;7(1):309. doi: 10.1038/s41746-024-01308-0. PMID: 39501071; PMCID: PMC11538462.

AI-enabled cardiac chambers volumetry in coronary artery calcium scans (AI-CAC) predicts heart failure and outperforms NT-proBNP: The multi-ethnic study of Atherosclerosis

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. doi: 10.1016/j.jcct.2024.04.006. Epub 2024 Apr 24. PMID: 38664073; PMCID: PMC11216890.

AI-enabled left atrial volumetry in coronary artery calcium scans (AI-CAC) predicts atrial fibrillation as early as one year, improves CHARGE-AF, and outperforms NT-proBNP: The multi-ethnic study of atherosclerosis

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. doi: 10.1016/j.jcct.2024.04.005. Epub 2024 Apr 23. PMID: 38653606; PMCID: PMC11216863.

Opportunistic Artificial Intelligence-based Detection Of Osteoporosis And Osteopenia Using Thoracic Vertebral Bone Mineral Density Measurements In Coronary Artery Calcium Scans

Naghavi M, Atlas K, Jaberzadeh A, Zhang C, Manubolu V, Li D, Budoff M. Validation of Opportunistic Artificial Intelligence-Based Bone Mineral Density Measurements in Coronary Artery Calcium Scans. J Am Coll Radiol. 2024 Apr;21(4):624-632. doi: 10.1016/j.jacr.2023.05.006. Epub 2023 Jun 17. PMID: 37336431.

Opportunistic AI-enabled Automated Bone Mineral Density Measurements In Lung Cancer Screening And Coronary Calcium Scoring CT Scans Are Equivalent

Naghavi M, De Oliveira I, Mao SS, Jaberzadeh A, Montoya J, Zhang C, Atlas K, Manubolu V, Montes M, Li D, Atlas T, Reeves A, Henschke C, Yankelevitz D, Budoff M. Opportunistic AI-enabled automated bone mineral density measurements in lung cancer screening and coronary calcium scoring CT scans are equivalent. Eur J Radiol Open. 2023 May 13;10:100492. doi: 10.1016/j.ejro.2023.100492. PMID: 37214544; PMCID: PMC10196960.

AI-enabled Detection Of Low Bone Mineral Density In Coronary Artery Calcium Scans Associated Osteoporosis With High Calcium Score Independently Of Age, Gender, And Conventional Risk Factors: Multi-ethnic Study Of Atherosclerosis (MESA)

Atlas, K. & Zhang, C. & Reeves, A. & Li, D. & Atlas, T. & Budoff, M. & Naghavi, M.. (2024). AI-enabled Bone Mineral Density Measurement In Coronary Artery Calcium Scans Associated With High Coronary Artery Calcium Independently Of Conventional Risk Factors: Multi-ethnic Study Of Atherosclerosis (mesa). Journal of Cardiovascular Computed Tomography. 18. S60. 10.1016/j.jcct.2024.05.139.

AI-enabled Automated Cardiac Chambers Volumetry (AutoChamber) In Coronary Calcium Scans Outperforms Charge-AF For Prediction Of Atrial Fibrillation: The Multi-Ethnic Study Of Atherosclerosis

Naghavi, Morteza & Reeves, Anthony & Budoff, Matthew & Li, Dong & Atlas, Kyle & Zhang, Chenyu & Atlas, Thomas & Roy, Sion & Henschke, Claudia & Wong, Nathan & Defilippi, Christopher & Levy, Daniel & Yankelevitz, David. (2024). 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. Journal of Cardiovascular Computed Tomography. 18. 10.1016/j.jcct.2024.04.006.

AI-enabled Automated Cardiac Chambers Volumetry In Non-contrast ECG-gated Cardiac Scans Vs. Non-contrast Non-gated Lung Scans

M Naghavi, A P Reeves, K Atlas, C Zhang, M J Budoff, C Henschke, D Yankelevitz, AI-enabled automated cardiac chambers volumetry in non-contrast ECG-gated cardiac scans vs. non-contrast non-gated lung scans, European Heart Journal, Volume 45, Issue Supplement_1, October 2024, ehae666.2765, https://doi.org/10.1093/eurheartj/ehae666.2765

AI-enabled Cardiac Chambers Volumetry In Non-contrast Coronary Artery Calcium CT Scans Vs. Contrast-enhanced Coronary CT Angiography Scans In The Same Patients

M Naghavi, K Atlas, C Zhang, S S Mao, A P Reeves, M J Budoff, C Henschke, D Yankelevitz, AI-enabled cardiac chambers volumetry in non-contrast coronary artery calcium CT scans vs. contrast-enhanced coronary CT angiography scans in the same patients, European Heart Journal, Volume 45, Issue Supplement_1, October 2024, ehae666.206, https://doi.org/10.1093/eurheartj/ehae666.206

AI-enabled Cardiac Chambers Volumetry In Non-contrast Cardiac CT Scans Detects HfREF Vs. HfPEF

E. Jaalouk, V. Manubolu, A. Reeves, K. Atlas, C. Zhang, T. Atlas, M. Budoff, M. Naghavi, AI-enabled Cardiac Chambers Volumetry In Non-contrast Cardiac CT Scans Detects HfREF Vs. HfPEF, Journal of Cardiovascular Computed Tomography, Volume 17, Issue 4, Supplement, 2023, Pages S62-S63, ISSN 1934-5925, https://doi.org/10.1016/j.jcct.2023.05.155. (https://www.sciencedirect.com/science/article/pii/S1934592523002782)

Validation of Opportunistic Artificial Intelligence-Based Bone Mineral Density Measurements in Coronary Artery Calcium Scans

Naghavi M, Atlas K, Jaberzadeh A, Zhang C, Manubolu V, Li D, Budoff M. Validation of Opportunistic Artificial Intelligence-Based Bone Mineral Density Measurements in Coronary Artery Calcium Scans. J Am Coll Radiol. 2024 Apr;21(4):624-632. doi: 10.1016/j.jacr.2023.05.006. Epub 2023 Jun 17. PMID: 37336431.

Opportunistic AI-enabled automated bone mineral density measurements in lung cancer screening and coronary calcium scoring CT scans are equivalent

Naghavi M, De Oliveira I, Mao SS, Jaberzadeh A, Montoya J, Zhang C, Atlas K, Manubolu V, Montes M, Li D, Atlas T, Reeves A, Henschke C, Yankelevitz D, Budoff M. Opportunistic AI-enabled automated bone mineral density measurements in lung cancer screening and coronary calcium scoring CT scans are equivalent. Eur J Radiol Open. 2023 May 13;10:100492. doi: 10.1016/j.ejro.2023.100492. PMID: 37214544; PMCID: PMC10196960.

Abstracts

Presented at the annual Scientific Sessions of the American Heart Association. American College of Cardiology, European Society of Cardiology, Radiological Society of North America (RSNA)

Incorporating AI-enabled Left Atrial Volume Measurement from Coronary Artery Calcium Scans (AI-CAC) to CHADSs-VASc Risk Score Improves Stroke Prediction in the Asymptomatic Population: The Multi-Ethnic Study of Atherosclerosis

Morteza Naghavi, Anthony Reeves, Kyle Atlas, Chenyu Zhang, Thomas Atlas, Claudia Henschke, David Yankelevitz, Matthew J. Budoff, WENJUN FAN, Ruilin Yu, Andrea Branch, Ning Ma, Sion Roy, Khurram Nasir, Sabee Molloi, Zahi A. Fayad, Mike McConnell, Ioannis Kakadiaris, Javier Zulueta, David Maron, Prediman K. Shah, Kim A. Williams, Daniel Levy, and Nathan D. Wong.

Coronary Artery Calcium Scans Powered by Artificial Intelligence (AI-CAC) Predicts Atrial Fibrillation and Stroke Comparably to Cardiac Magnetic Resonance Imaging: The Multi-Ethnic Study of Atherosclerosis (MESA)

Morteza Naghavi, Anthony P. Reeves, Kyle Atlas, Chenyu Zhang, Dong Li, Thomas Atlas, Claudia Henschke, Nathan D. Wong, Sion K. Roy, Matthew J. Budoff, David Yankelevitz, and Nathan D. Wong.

Automated Left Ventricular Volumetry using Artificial Intelligence in Coronary Calcium Scans (AI-CAC) Predicts Heart Failure Comparably to Cardiac MRI and Outperforms NT-proBNP: The Multi-Ethnic Study of Atherosclerosis (MESA)

Morteza Naghavi, Anthony Reeves, Kyle Atlas, Dong Li, Chenyu Zhang, Thomas Atlas, Sion K. Roy, Matthew Budoff, Claudia Henschke, David Yankelevitz, Nathan D. Wong, and Daniel Levy.

Incorporating AI-enabled Left Atrial Volume Measurement from Coronary Artery Calcium Scans (AI-CAC) to CHA2DS2-VASc Risk Score Improves Stroke Prediction in the Asymptomatic Population: The Multi-Ethnic Study of Atherosclerosis (MESA)

Morteza Naghavi, MD, Anthony P. Reeves, PhD, Kyle Atlas, BS, Chenyu Zhang, MS, Thomas Atlas, MD, Claudia Henschke, PhD., MD, David Yankelevitz, MD, Matthew J. Budoff, MD, Dong Li, PhD, Wenjun Fan, MD, PhD, Ruilin Yu, MPH, Andrea Branch, MD, Ning Ma, PhD, Rowena Yip, PhD, Sion K. Roy, MD, Khurram Nasir, M.D, Sabee Molloi, PhD, Zahi Fayad, PhD, Michael V. McConnell, MD, MSEE, Ioannis Kakadiaris, MD, Javier Zuelueta, MD, David J. Maron, MD, Jagat Narula, MD, PhD, Prediman Shah, MD, Kim Williams, MD, Daniel Levy, M.D, and Nathan D. Wong, PhD.

AI-enabled Cardiac Chambers Volumetry in Coronary Artery Calcium (CAC) Scans (AI-CAC) vs. ASCVD Pooled Cohorts Equation and PREVENT Risk Scores: The Multi-Ethnic Study of Atherosclerosis (MESA)

Morteza Naghavi, MD, Anthony P. Reeves, PhD, Kyle Atlas, BS, Chenyu Zhang, MS, Thomas Atlas, MD, Claudia Henschke, PhD., MD, David Yankelevitz, MD, Matthew J. Budoff, MD, Dong Li, PhD, Wenjun Fan, MD, PhD, Ruilin Yu, MPH, Andrea Branch, MD, Ning Ma, PhD, Rowena Yip, PhD, Sion K. Roy, MD, Khurram Nasir, M.D, Sabee Molloi, PhD, Zahi Fayad, PhD, Michael V. McConnell, MD, MSEE, Ioannis Kakadiaris, MD, Javier Zuelueta, MD, David J. Maron, MD, Jagat Narula, MD, PhD, Prediman Shah, MD, Kim Williams, MD, Daniel Levy, M.D, and Nathan D. Wong, PhD.

AI-CVD: Artificial Intelligence-Enabled Opportunistic Screening of Coronary Artery Calcium Computed Tomography Scans for Predicting CVD Events and All-Cause Mortality: The Multi-Ethnic Study of Atherosclerosis (MESA)

Morteza Naghavi, MD, Anthony P. Reeves, PhD, Kyle Atlas, BS, Chenyu Zhang, MS, Thomas Atlas, MD, Claudia Henschke, PhD., MD, David Yankelevitz, MD, Matthew J. Budoff, MD, Dong Li, PhD, Wenjun Fan, MD, PhD, Ruilin Yu, MPH, Andrea Branch, MD, Ning Ma, PhD, Rowena Yip, PhD, Sion K. Roy, MD, Khurram Nasir, M.D, Sabee Molloi, PhD, Zahi Fayad, PhD, Michael V. McConnell, MD, MSEE, Ioannis Kakadiaris, MD, Javier Zuelueta, MD, David J. Maron, MD, Jagat Narula, MD, PhD, Prediman Shah, MD, Kim Williams, MD, Daniel Levy, M.D, and Nathan D. Wong, PhD.

AI-enabled bone mineral density measurement in coronary artery calcium scans associated with high coronary artery calcium independently of conventional risk factors: The Multi-Ethnic Study of Atherosclerosis (MESA)

Kyle Atlas, Chenyu Zhang, Anthony P. Reeves, Dong Li, Thomas Atlas, Matthew Budoff, and Morteza Naghavi.

AI-enabled Cardiac Chambers Volumetry in Non-Contrast Cardiac CT scans Detects HFrEF vs. HFpEF

Kyle Atlas, Chenyu Zhang, Anthony P. Reeves, Emily Jaalouk, Sanjay Manubolu, Song Shou Mao, Matthew Budoff, Morteza Naghavi.

Coronary Artery Calcium Scans Powered by Artificial Intelligence (AI-CAC) Predicts Atrial Fibrillation and Stroke Comparably to Cardiac Magnetic Resonance Imaging: The Multi-Ethnic Study of Atherosclerosis (MESA)

Morteza Naghavi, Anthony P. Reeves, Kyle Atlas, Chenyu Zhang, Dong Li, Thomas Atlas, Claudia Henschke, Nathan D. Wong, Sion K. Roy, Matthew J. Budoff, David Yankelevitz.

Automated Left Ventricular Volumetry using Artificial Intelligence in Coronary Calcium Scans (AI-CAC) Predicts Heart Failure Comparably to Cardiac MRI and Outperforms NT-proBNP: The Multi-Ethnic Study of Atherosclerosis (MESA)

Morteza Naghavi, Anthony Reeves, Kyle Atlas, Dong Li, Chenyu Zhang, Thomas Atlas, Sion K. Roy, Matthew Budoff, Claudia Henschke, David Yankelevitz, Nathan D. Wong, and Daniel Levy.

AI-enabled Cardiac Chambers Volumetry in Coronary Artery Calcium (CAC) Scans (AI-CAC) Significantly Improves on Agatston CAC Score for Predicting All Cardiovascular Events: The Multi-Ethnic Study of Atherosclerosis

Morteza Naghavi, MD, Anthony P. Reeves, PhD, Kyle Atlas, BS, Chenyu Zhang, MS, Thomas Atlas, MD, Claudia Henschke, PhD., MD, David Yankelevitz, MD, Matthew J. Budoff, MD, Dong Li, PhD, Sion K. Roy, MD, Khurram Nasir, M.D, Sabee Molloi, PhD, Zahi Fayad, PhD, Michael V. McConnell, MD, MSEE, Ioannis Kakadiaris, MD, David J. Maron, MD, Jagat Narula, MD, Kim Williams, MD, Daniel Levy, M.D, and Nathan D. Wong, PhD.

AI-enabled Cardiac Chambers Volumetry in Non-contrast Coronary Artery Calcium CT Scans vs. Contrast-Enhanced Coronary CT Angiography Scans in the Same Patients

Chenyu Zhang, Kyle Atlas, Song Shou Mao, Anthony Reeves, Matthew Budoff, Claudia Henschke, David Yankelevitz, and Morteza Naghavi.

AI-CAC improves on CAC for Cardiovascular Risk prediction: The Multi-Ethnic Study of Atherosclerosis

Morteza Naghavi, Anthony Reeves, Matthew Budoff, Dong Li, Kyle Atlas, Chenyu Zhang, Thomas Atlas, Sion K. Roy, Nathan D. Wong, Claudia Henschke, and David Yankelevitz.

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AI-CVD Summary

Coronary Calcification

‌ Aortic Calcification

Epicardial Fat

Cardiac Chambers

Aorta & PA Size

Lung LAI

Lung HAI

Liver Fat

Muscle & Visceral Fat

Bone Density

HeartLung AI

Publications

Peer-reviewed research on AI-enabled cardiovascular imaging, quantitative biomarkers, and risk associations.

Featured Research

Aortic and Pulmonary Artery Diameters Measured by AI on Coronary Calcium Scans and Incident Cerebrovascular Events, Atrial Fibrillation and Heart Failure Independent of Ventricular Geometry

Scientific Publications

Artificial Intelligence-derived Measurements of Myosteatosis from Coronary Artery Calcium CT Scans to Predict COPD

Artificial Intelligence-derived Measurements of Myosteatosis from Coronary Artery Calcium CT Scans to Predict COPD: The Multi-Ethnic Study of Atherosclerosis

Agatston-2.0

Agatston-2.0: A next-generation AI-based coronary calcium quantification approach to improve risk stratification among individuals with zero Agatston scores – Part I: An AI-CVD Study within the Multi-Ethnic Study of Atherosclerosis and Framingham Heart Study

Opportunistic AI for Cardiovascular Risk Prediction based on Chest X-Ray: An AI-CVD Study within MIMIC

AI may serve as an opportunistic CXR-based trigger for formal CVD risk assessment and selective CAC evaluation when clinical risk inputs are missing or conventional risk appears low.

AI-CVD-HF

A heart failure risk prediction model based on coronary arterycalcium scans compared with PREVENT-HF

Aortic and Pulmonary Artery Diameters Measured by AI on Coronary Calcium Scans and Incident Cerebrovascular Events, Atrial Fibrillation and Heart Failure Independent of Ventricular Geometry

AI-Enabled CT Cardiac Chamber Volumetry Predicts Atrial Fibrillation and Stroke Comparable to MRI

Long-Term Risk Prediction and Detection of Aortic Stenosis From AI-Quantified Multisite Calcification on Noncontrast CT: An AI-CVD Analysis of MESA

Comparing AI-Enabled Opportunistic Detection of Lung Cancer on CAC Scans versus Chest CT: A Pooled MESA and Framingham Analysis

Comparison of Two Deep Learning Models and Their Combination for One-Year Lung Cancer Detection in Two Screening Cohorts

Agatston-2.0: AI-CAC Reclassifies CHD Risk Within Conventional CAC 1–99 — Part III

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Morteza Naghavi, Kyle Atlas, Anthony P Reeves, Chenyu Zhang, Thomas Atlas, Sion K Roy, Matthew J Budoff, Claudia I Henschke, David F Yankelevitz, Jagat Narula, Nathan D Wong. J Cardiovasc Comput Tomogr​. 2025 Jul 24

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Onnis, C, van Assen, M. New Frontiers for Predicting Atrial Fibrillation and Stroke: AI-Based Left Atrial Volumetry. JACC Adv. 2024 Nov, 3 (11). https://doi.org/10.1016/j.jacadv.2024.101299

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​Morteza Naghavi, Anthony P. Reeves, Kyle Atlas, Chenyu Zhang, Dong Li, Thomas Atlas, Claudia Henschke, Nathan D. Wong, Sion K. Roy, Matthew J. Budoff, David Yankelevitz, and Nathan D. Wong.

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Morteza Naghavi, Anthony Reeves, Kyle Atlas, Dong Li, Chenyu Zhang, Thomas Atlas, Sion K. Roy, Matthew Budoff, Claudia Henschke, David Yankelevitz, Nathan D. Wong, and Daniel Levy.

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A heart failure risk prediction model based on coronary artery
calcium scans compared with PREVENT-HF

Morteza Naghavi, Kyle Atlas, Anthony P Reeves, Chenyu Zhang, Thomas Atlas, Sion K Roy, Matthew J Budoff, Claudia I Henschke, David F Yankelevitz, Jagat Narula, Nathan D Wong. J Cardiovasc Comput Tomogr. 2025 Jul 24

Morteza Naghavi, Anthony P. Reeves, Kyle Atlas, Chenyu Zhang, Dong Li, Thomas Atlas, Claudia Henschke, Nathan D. Wong, Sion K. Roy, Matthew J. Budoff, David Yankelevitz, and Nathan D. Wong.

Kyle Atlas, Chenyu Zhang, Anthony P. Reeves, Dong Li, Thomas Atlas, Matthew Budoff, and Morteza Naghavi.