HeartLung Technologies (www.heartlung.ai), a leading developer of innovative AI solutions for early detection of heart disease, lung cancer, and other fatal conditions is pleased to announce that four of its scientific research studies on AI-CAC™, AutoBMD™, and AI-CVD™ have been accepted for presentation at the 2014 Radiological Society of North America (RSNA). The event, which is the largest gathering of doctors and other experts in the field of medical imaging, will be held December 1-4, 2024 in Chicago.
This exciting milestone is achieved shortly after HeartLung Technologies' seven research presentations at the 2024 Annual Scientific Sessions of the American Heart Association (AHA 2024) held November 16-18, and five research presentations at the 2024 Congress of European Society of Cardiology (ESC 2024) .
"I'm pleased that our years of R&D at HeartLung is finally coming to fruition in patient care" said Dr. Morteza Naghavi, the founder and president of HeartLung Technologies who is also the lead author of the research studies presented at the RSNA 2024. "We're building the foundation for the future of AI-enabled early detection, monitoring, and prevention of fatal diseases such as heart disease, lung cancer, COPD, osteoporosis, steatosis and other deadly conditions that can be averted".
HeartLung's cutting-edge research and innovations have the potential to significantly improve public health by preventing late-stage diseases that are often deadly and costly.
The following studies have been accepted for presentations:
HeartLung Presentation #1:
Session#: M2-SPCA
Session Title: Cardiac Imaging Monday Morning Poster Discussions
Presentation#: M2-SPCA-10
Abstract Title: 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
Discussion Date/Time: 12/2/2024 9:00:00 AM-12/2/2024 9:30:00 AM
HeartLung Presentation #2:
Session#: M5A-SPCA
Session Title: Cardiac Imaging Monday Afternoon Poster Discussions I
Presentation#: M5A-SPCA-3
Abstract Title: AI-ENABLED AUTOMATED BONE MINERAL DENSITY MEASUREMENT IN CORONARY ARTERY CALCIUM SCANS (AUTOBMD) IS ASSOCIATED WITH HIGH CORONARY ARTERY CALCIUM SCORE INDEPENDENTLY OF CONVENTIONAL RISK FACTORS: MULTI-ETHNIC STUDY OF ATHEROSCLEROSIS (MESA)
Discussion Date/Time: 12/2/2024 12:15:00 PM-12/2/2024 12:45:00 PM
HeartLung Presentation #3:
Session#: M5A-SPCA
Session Title: Cardiac Imaging Monday Afternoon Poster Discussions I
Presentation#: M5A-SPCA-1
Abstract Title: 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)
Discussion Date/Time: 12/2/2024 12:15:00 PM-12/2/2024 12:45:00 PM
HeartLung Presentation #3:
Session#: M5A-SPCA
Session Title: Cardiac Imaging Monday Afternoon Poster Discussions I
Presentation#: M5A-SPCA-2
Abstract Title: 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)
Discussion Date/Time: 12/2/2024 12:15:00 PM-12/2/2024 12:45:00 PM
Every year RSNA's scientific review committee selects presentations through a rigorous peer-review process. The fact that HeartLung Technologies received acceptance for 4 research presentations speaks volume for the scientific power of HeartLung's outstanding team.
List of RSNA 2024 HeartLung Research Coauthors:
Morteza Naghavi, MDa, Anthony P. Reeves, PhDb, Kyle Atlas, BSa, Chenyu Zhang, MSa, Thomas Atlas, MDc, Claudia Henschke, PhD., MDd, David Yankelevitz, MDd, Matthew J. Budoff, MDe, Dong Li, PhDe, Wenjun Fan, MD, PhDm, Ruilin Yu, MPHn, Andrea Branch, MDd, Ning Ma, PhDd, Rowena Yip, PhDd, Sion K. Roy, MDe, Khurram Nasir, M.Df, Sabee Molloi, PhDg, Zahi Fayad, PhDf, Michael V. McConnell, MD, MSEEh, Ioannis Kakadiaris, MDi, Javier Zuelueta, MDd, David J. Maron, MDh, Jagat Narula, MD, PhDi, Prediman Shah, MDo, Kim Williams, MDj, Daniel Levy, M.Dk, Nathan D. Wong, PhDl.
a. HeartLung.AI, Houston, TX, 77021
b. Department of Electrical and Computer Engineering, Cornell University, Ithaca, NY 14853
c. Tustin Teleradiology, Tustin, CA 92780
d. Mount Sinai Hospital, New York, NY 10029
e. The Lundquist Institute, Torrance, CA 90502
f. Houston Methodist Hospital, Houston, TX 77030
g. Department of Radiology, University of California Irvine, CA 92697
h. Department of Medicine, Stanford University School of Medicine, Stanford, CA, 94305
i. The University of Texas Health Science Center at Houston, TX, 77030
j. University of Louisville, Louisville, KY
k. Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, 20824
l. Heart Disease Prevention Program, Division of Cardiology, University of California Irvine, CA 92697
m. Department of Epidemiology & Biostatistics, University of California Irvine, CA 92697
n. Department of Epidemiology, University of California, Los Angeles, CA 90095
o. Cedars-Sinai Medical Center, Los Angeles, CA, 90048