American Heart Association
AI at Heart: Revolutionizing Cardiovascular Imaging
Abstract Poster Session
Zone 3
Nov 17th , 11:30 AM - 12:30 PM
11 : 30 AM
Machine-extractable Markers in Chest Radiograph to Predict Cardiovascular Risk in Screening Population
Du Richard, Chowdhury Debajyoti, Hung Yui Chi, Du Mike, Tsougenis Efstratios, Fang Xin Hao Benjamin
Final Pr. ID: Su3043
Authors: Du Richard, Chowdhury Debajyoti, Hung Yui Chi, Du Mike, Tsougenis Efstratios, Fang Xin Hao Benjamin
Keywords: Artificial Intelligence , Prognostic model , Cardiovascular imaging , Cardiovascular disease , Cardiovascular disease prevention
11 : 30 AM
REDUCING THE USE OF TRANSESOPHAGEAL ECHOCARDIOGRAM PRIOR TO CARDIOVERSION USING MACHINE LEARNING
Meisel Emily, Frechette Reece, Kramer Ethan, Bai Chen, Nassereddin Ali, Smoot Madeline, Edwards Emily, Kurup Varsha, Naccarelli Gerald, Naik Dhaval, Mardini Mamoun, Ruzieh Mohammed
Final Pr. ID: Su3042
Authors: Meisel Emily, Frechette Reece, Kramer Ethan, Bai Chen, Nassereddin Ali, Smoot Madeline, Edwards Emily, Kurup Varsha, Naccarelli Gerald, Naik Dhaval, Mardini Mamoun, Ruzieh Mohammed
Keywords: Thrombosis , Machine Learning , Transesophageal echocardiography , Atrial fibrillation , Atrial flutter
11 : 30 AM
Machine learning identifies clinically distinct phenotypes in patients with aortic regurgitation.
Deb Brototo, Scott Christopher, Michelena Hector, Pislaru Sorin, Nkomo Vuyisile, Kane Garvan, Crestanello Juan, Pellikka Patricia, Anand Vidhu
Final Pr. ID: Su3041
Authors: Deb Brototo, Scott Christopher, Michelena Hector, Pislaru Sorin, Nkomo Vuyisile, Kane Garvan, Crestanello Juan, Pellikka Patricia, Anand Vidhu
Keywords: Aortic regurgitation , Machine Learning , Valvular
11 : 30 AM
Machine Learning Predicts 24-Hour Change in Decongestion Biomarkers in Hospitalized Heart Failure Patients
Harzand Arash, Vremenko Dmytro, Wilcox Alexander, Beskin Claire, Liao Ruizhi, Joseph Jacob
Final Pr. ID: Su3044
Authors: Harzand Arash, Vremenko Dmytro, Wilcox Alexander, Beskin Claire, Liao Ruizhi, Joseph Jacob
Keywords: Heart failure , Artificial Intelligence , Machine Learning , Prediction model
11 : 30 AM
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)
Naghavi Morteza, Reeves Anthony, Atlas Kyle, Zhang Chenyu, Atlas Thomas, Henschke Claudia, Roy Sion, Budoff Matthew, Yankelevitz David, Wong Nathan
Final Pr. ID: Su3045
Authors: Naghavi Morteza, Reeves Anthony, Atlas Kyle, Zhang Chenyu, Atlas Thomas, Henschke Claudia, Roy Sion, Budoff Matthew, Yankelevitz David, Wong Nathan
Keywords: Artificial Intelligence , Arrhythmias , Stroke , Coronary artery calcification (CAC)
11 : 30 AM
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)
Naghavi Morteza, Reeves Anthony, Atlas Kyle, Zhang Chenyu, Atlas Thomas, Budoff Matthew, Roy Sion, Henschke Claudia, Yankelevitz David, Wong Nathan, Levy Daniel
Final Pr. ID: Su3046
Authors: Naghavi Morteza, Reeves Anthony, Atlas Kyle, Zhang Chenyu, Atlas Thomas, Budoff Matthew, Roy Sion, Henschke Claudia, Yankelevitz David, Wong Nathan, Levy Daniel
Keywords: Artificial Intelligence
11 : 30 AM
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)
Naghavi Morteza, Reeves Anthony, Atlas Kyle, Zhang Chenyu, Atlas Thomas, Henschke Claudia, Yankelevitz David, Budoff Matthew, Fan Wenjun, Yu Ruilin, Branch Andrea, Ma Ning, Roy Sion, Nasir Khurram, Molloi Sabee, Fayad Zahi, Mcconnell Michael, Kakadiaris Ioannis, Zulueta Javier, Maron David, Shah Prediman, Williams Kim, Abela George, Levy Daniel, Wong Nathan
Final Pr. ID: Su3047
Authors: Naghavi Morteza, Reeves Anthony, Atlas Kyle, Zhang Chenyu, Atlas Thomas, Henschke Claudia, Yankelevitz David, Budoff Matthew, Fan Wenjun, Yu Ruilin, Branch Andrea, Ma Ning, Roy Sion, Nasir Khurram, Molloi Sabee, Fayad Zahi, Mcconnell Michael, Kakadiaris Ioannis, Zulueta Javier, Maron David, Shah Prediman, Williams Kim, Abela George, Levy Daniel, Wong Nathan
Keywords: Artificial Intelligence , Cardiovascular disease , Computed tomography
11 : 30 AM
Incorporating AI-enabled Left Atrial Volume Measurement from Coronary Artery Calcium Scans (AI-CAC) to CHA2DS2s-VASc Risk Score Improves Stroke Prediction in the Asymptomatic Population: The Multi-Ethnic Study of Atherosclerosis
Naghavi Morteza, Reeves Anthony, Atlas Kyle, Zhang Chenyu, Atlas Thomas, Henschke Claudia, Yankelevitz David, Budoff Matthew, Fan Wenjun, Yu Ruilin, Branch Andrea, Ma Ning, Roy Sion, Nasir Khurram, Molloi Sabee, Fayad Zahi, Mcconnell Michael, Kakadiaris Ioannis, Zulueta Javier, Maron David, Shah Prediman, Williams Kim, Abela George, Levy Daniel, Wong Nathan
Final Pr. ID: Su3048
Authors: Naghavi Morteza, Reeves Anthony, Atlas Kyle, Zhang Chenyu, Atlas Thomas, Henschke Claudia, Yankelevitz David, Budoff Matthew, Fan Wenjun, Yu Ruilin, Branch Andrea, Ma Ning, Roy Sion, Nasir Khurram, Molloi Sabee, Fayad Zahi, Mcconnell Michael, Kakadiaris Ioannis, Zulueta Javier, Maron David, Shah Prediman, Williams Kim, Abela George, Levy Daniel, Wong Nathan
Keywords: Artificial Intelligence , Stroke
Gordon Kyle, Gordon Cade William, Roman Ana, Watson Samuel, Tong Matthew, Addison Daniel, Jones Daniel, Oltz Eugene, Lozanski Gerard, Liu Shan-lu, Daniels Curt, Rajpal Saurabh, Madiai Francesca, Gumina Richard
Final Pr. ID: Su3049
Authors: Gordon Kyle, Gordon Cade William, Roman Ana, Watson Samuel, Tong Matthew, Addison Daniel, Jones Daniel, Oltz Eugene, Lozanski Gerard, Liu Shan-lu, Daniels Curt, Rajpal Saurabh, Madiai Francesca, Gumina Richard
Keywords: Machine Learning , Myocarditis , Inflammation , Proteomics , Biomarkers
11 : 30 AM
An Artificial Intelligence Machine Learning Algorithm Approach Using Segmental ECG Analysis to Distinguish Long QT Syndrome from Acquired QT Prolongation
Bos Johan, Liu Kan, Attia Zachi, Noseworthy Peter, Friedman Paul, Ackerman Michael
Final Pr. ID: Su3050
Authors: Bos Johan, Liu Kan, Attia Zachi, Noseworthy Peter, Friedman Paul, Ackerman Michael
Keywords: QT interval , Machine Learning , Genetics , Long QT syndrome
11 : 30 AM
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)
Naghavi Morteza, Reeves Anthony, Atlas Kyle, Zhang Chenyu, Atlas Thomas, Henschke Claudia, Yankelevitz David, Budoff Matthew, Fan Wenjun, Yu Ruilin, Branch Andrea, Ma Ning, Roy Sion, Nasir Khurram, Molloi Sabee, Fayad Zahi, Mcconnell Michael, Kakadiaris Ioannis, Zulueta Javier, Maron David, Shah Prediman, Williams Kim, Abela George, Levy Daniel, Wong Nathan
Final Pr. ID: Su3047
Authors: Naghavi Morteza, Reeves Anthony, Atlas Kyle, Zhang Chenyu, Atlas Thomas, Henschke Claudia, Yankelevitz David, Budoff Matthew, Fan Wenjun, Yu Ruilin, Branch Andrea, Ma Ning, Roy Sion, Nasir Khurram, Molloi Sabee, Fayad Zahi, Mcconnell Michael, Kakadiaris Ioannis, Zulueta Javier, Maron David, Shah Prediman, Williams Kim, Abela George, Levy Daniel, Wong Nathan
Keywords: Artificial Intelligence , Cardiovascular disease , Computed tomography
11 : 30 AM
An Artificial Intelligence Machine Learning Algorithm Approach Using Segmental ECG Analysis to Distinguish Long QT Syndrome from Acquired QT Prolongation
Bos Johan, Liu Kan, Attia Zachi, Noseworthy Peter, Friedman Paul, Ackerman Michael
Final Pr. ID: Su3050
Authors: Bos Johan, Liu Kan, Attia Zachi, Noseworthy Peter, Friedman Paul, Ackerman Michael
Keywords: QT interval , Machine Learning , Genetics , Long QT syndrome
11 : 30 AM
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)
Naghavi Morteza, Reeves Anthony, Atlas Kyle, Zhang Chenyu, Atlas Thomas, Budoff Matthew, Roy Sion, Henschke Claudia, Yankelevitz David, Wong Nathan, Levy Daniel
Final Pr. ID: Su3046
Authors: Naghavi Morteza, Reeves Anthony, Atlas Kyle, Zhang Chenyu, Atlas Thomas, Budoff Matthew, Roy Sion, Henschke Claudia, Yankelevitz David, Wong Nathan, Levy Daniel
Keywords: Artificial Intelligence
11 : 30 AM
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)
Naghavi Morteza, Reeves Anthony, Atlas Kyle, Zhang Chenyu, Atlas Thomas, Henschke Claudia, Roy Sion, Budoff Matthew, Yankelevitz David, Wong Nathan
Final Pr. ID: Su3045
Authors: Naghavi Morteza, Reeves Anthony, Atlas Kyle, Zhang Chenyu, Atlas Thomas, Henschke Claudia, Roy Sion, Budoff Matthew, Yankelevitz David, Wong Nathan
Keywords: Artificial Intelligence , Arrhythmias , Stroke , Coronary artery calcification (CAC)
11 : 30 AM
Incorporating AI-enabled Left Atrial Volume Measurement from Coronary Artery Calcium Scans (AI-CAC) to CHA2DS2s-VASc Risk Score Improves Stroke Prediction in the Asymptomatic Population: The Multi-Ethnic Study of Atherosclerosis
Naghavi Morteza, Reeves Anthony, Atlas Kyle, Zhang Chenyu, Atlas Thomas, Henschke Claudia, Yankelevitz David, Budoff Matthew, Fan Wenjun, Yu Ruilin, Branch Andrea, Ma Ning, Roy Sion, Nasir Khurram, Molloi Sabee, Fayad Zahi, Mcconnell Michael, Kakadiaris Ioannis, Zulueta Javier, Maron David, Shah Prediman, Williams Kim, Abela George, Levy Daniel, Wong Nathan
Final Pr. ID: Su3048
Authors: Naghavi Morteza, Reeves Anthony, Atlas Kyle, Zhang Chenyu, Atlas Thomas, Henschke Claudia, Yankelevitz David, Budoff Matthew, Fan Wenjun, Yu Ruilin, Branch Andrea, Ma Ning, Roy Sion, Nasir Khurram, Molloi Sabee, Fayad Zahi, Mcconnell Michael, Kakadiaris Ioannis, Zulueta Javier, Maron David, Shah Prediman, Williams Kim, Abela George, Levy Daniel, Wong Nathan
Keywords: Artificial Intelligence , Stroke
11 : 30 AM
Machine-extractable Markers in Chest Radiograph to Predict Cardiovascular Risk in Screening Population
Du Richard, Chowdhury Debajyoti, Hung Yui Chi, Du Mike, Tsougenis Efstratios, Fang Xin Hao Benjamin
Final Pr. ID: Su3043
Authors: Du Richard, Chowdhury Debajyoti, Hung Yui Chi, Du Mike, Tsougenis Efstratios, Fang Xin Hao Benjamin
Keywords: Artificial Intelligence , Prognostic model , Cardiovascular imaging , Cardiovascular disease , Cardiovascular disease prevention
Gordon Kyle, Gordon Cade William, Roman Ana, Watson Samuel, Tong Matthew, Addison Daniel, Jones Daniel, Oltz Eugene, Lozanski Gerard, Liu Shan-lu, Daniels Curt, Rajpal Saurabh, Madiai Francesca, Gumina Richard
Final Pr. ID: Su3049
Authors: Gordon Kyle, Gordon Cade William, Roman Ana, Watson Samuel, Tong Matthew, Addison Daniel, Jones Daniel, Oltz Eugene, Lozanski Gerard, Liu Shan-lu, Daniels Curt, Rajpal Saurabh, Madiai Francesca, Gumina Richard
Keywords: Machine Learning , Myocarditis , Inflammation , Proteomics , Biomarkers
11 : 30 AM
Machine learning identifies clinically distinct phenotypes in patients with aortic regurgitation.
Deb Brototo, Scott Christopher, Michelena Hector, Pislaru Sorin, Nkomo Vuyisile, Kane Garvan, Crestanello Juan, Pellikka Patricia, Anand Vidhu
Final Pr. ID: Su3041
Authors: Deb Brototo, Scott Christopher, Michelena Hector, Pislaru Sorin, Nkomo Vuyisile, Kane Garvan, Crestanello Juan, Pellikka Patricia, Anand Vidhu
Keywords: Aortic regurgitation , Machine Learning , Valvular
11 : 30 AM
Machine Learning Predicts 24-Hour Change in Decongestion Biomarkers in Hospitalized Heart Failure Patients
Harzand Arash, Vremenko Dmytro, Wilcox Alexander, Beskin Claire, Liao Ruizhi, Joseph Jacob
Final Pr. ID: Su3044
Authors: Harzand Arash, Vremenko Dmytro, Wilcox Alexander, Beskin Claire, Liao Ruizhi, Joseph Jacob
Keywords: Heart failure , Artificial Intelligence , Machine Learning , Prediction model
11 : 30 AM
REDUCING THE USE OF TRANSESOPHAGEAL ECHOCARDIOGRAM PRIOR TO CARDIOVERSION USING MACHINE LEARNING
Meisel Emily, Frechette Reece, Kramer Ethan, Bai Chen, Nassereddin Ali, Smoot Madeline, Edwards Emily, Kurup Varsha, Naccarelli Gerald, Naik Dhaval, Mardini Mamoun, Ruzieh Mohammed
Final Pr. ID: Su3042
Authors: Meisel Emily, Frechette Reece, Kramer Ethan, Bai Chen, Nassereddin Ali, Smoot Madeline, Edwards Emily, Kurup Varsha, Naccarelli Gerald, Naik Dhaval, Mardini Mamoun, Ruzieh Mohammed
Keywords: Thrombosis , Machine Learning , Transesophageal echocardiography , Atrial fibrillation , Atrial flutter