Research

HEAL Lab is dedicated to advancing the field of cardiology through innovative applications of deep learning. By developing cutting-edge techniques, we aim to analyze and interpret unstructured data—such as medical imaging, electronic health records, and sensor data—to uncover new insights, improve diagnostics, and enhance patient care. Under the leadership of Dr. Ramsey Wehbe, we strive to bridge the gap between artificial intelligence and cardiovascular medicine, driving impactful research with real-world applications.

Highlighted

Deep Learning for Cardiovascular Imaging
Deep Learning for Cardiovascular Imaging
Ramsey M. Wehbe, Aggelos K. Katsaggelos, Kristian J. Hammond, Ha Hong, Faraz S. Ahmad, David Ouyang, Sanjiv J. Shah, Patrick M. McCarthy, James D. Thomas
JAMA Cardiology  ·  01 Nov 2023  ·  doi:10.1001/jamacardio.2023.3142

All

2024

Charting the future of cardiology with large language model artificial intelligence
Charting the future of cardiology with large language model artificial intelligence
Ramsey M. Wehbe
Nature Reviews Cardiology  ·  19 Nov 2024  ·  doi:10.1038/s41569-024-01105-y
Accuracy and consistency of online large language model-based artificial intelligence chat platforms in answering patients' questions about heart failure
Accuracy and consistency of online large language model-based artificial intelligence chat platforms in answering patients' questions about heart failure
Elie Kozaily, Mabelissa Geagea, Ecem R. Akdogan, Jessica Atkins, Mohamed B. Elshazly, Maya Guglin, Ryan J. Tedford, Ramsey M. Wehbe
International Journal of Cardiology  ·  01 Aug 2024  ·  doi:10.1016/j.ijcard.2024.132115
Performance of risk models to predict mortality risk for patients with heart failure: evaluation in an integrated health system
Performance of risk models to predict mortality risk for patients with heart failure: evaluation in an integrated health system
Faraz S. Ahmad, Ted Ling Hu, Eric D. Adler, Lucia C. Petito, Ramsey M. Wehbe, …, Beatrice Nardone, Matevz Tadel, Barry Greenberg, Avi Yagil, Claudio Campagnari
Clinical Research in Cardiology  ·  02 Apr 2024  ·  doi:10.1007/s00392-024-02433-2

2023

Echoing Errors: The Problem of Uncurated “Big Data” in Echocardiography
Echoing Errors: The Problem of Uncurated “Big Data” in Echocardiography
Ramsey M. Wehbe
Journal of the American Society of Echocardiography  ·  01 Nov 2023  ·  doi:10.1016/j.echo.2023.08.012
Deep Learning for Cardiovascular Imaging
Deep Learning for Cardiovascular Imaging
Ramsey M. Wehbe, Aggelos K. Katsaggelos, Kristian J. Hammond, Ha Hong, Faraz S. Ahmad, David Ouyang, Sanjiv J. Shah, Patrick M. McCarthy, James D. Thomas
JAMA Cardiology  ·  01 Nov 2023  ·  doi:10.1001/jamacardio.2023.3142
Accuracy and Consistency of Online Chat-based Artificial Intelligence Platforms in Answering Patients’ Questions About Heart Failure
Accuracy and Consistency of Online Chat-based Artificial Intelligence Platforms in Answering Patients’ Questions About Heart Failure
Elie Kozaily, Mabelissa Geagea, Ecem Raziye Akdogan, Jessica Atkins, Mohamed B. Elshazly, Maya Guglin, Ryan J Tedford, Ramsey M. Wehbe
Cold Spring Harbor Laboratory  ·  13 Sep 2023  ·  doi:10.1101/2023.09.12.23295452
Performance of Risk Models to Predict Mortality Risk for Patients with Heart Failure: Evaluation in an Integrated Health System
Performance of Risk Models to Predict Mortality Risk for Patients with Heart Failure: Evaluation in an Integrated Health System
Faraz S. Ahmad, Ted Ling Hu, Eric D. Adler, Lucia C. Petito, Ramsey M. Wehbe, …, Beatrice Nardone, Matevz Tadel, Barry Greenberg, Avi Yagil, Claudio Campagnari
Cold Spring Harbor Laboratory  ·  25 Jun 2023  ·  doi:10.1101/2023.06.23.23291822
DeepCOVID-Fuse: A Multi-Modality Deep Learning Model Fusing Chest X-rays and Clinical Variables to Predict COVID-19 Risk Levels
DeepCOVID-Fuse: A Multi-Modality Deep Learning Model Fusing Chest X-rays and Clinical Variables to Predict COVID-19 Risk Levels
Yunan Wu, Amil Dravid, Ramsey Michael Wehbe, Aggelos K. Katsaggelos
Bioengineering  ·  05 May 2023  ·  doi:10.3390/bioengineering10050556
Could an artificial intelligence approach to prior authorization be more human?
Could an artificial intelligence approach to prior authorization be more human?
Leslie A Lenert, Steven Lane, Ramsey Wehbe
Journal of the American Medical Informatics Association  ·  21 Feb 2023  ·  doi:10.1093/jamia/ocad016
DeepCOVID-Fuse: A Multi-modality Deep Learning Model Fusing Chest X-Radiographs and Clinical Variables to Predict COVID-19 Risk Levels
DeepCOVID-Fuse: A Multi-modality Deep Learning Model Fusing Chest X-Radiographs and Clinical Variables to Predict COVID-19 Risk Levels
Yunan Wu, Amil Dravid, Ramsey Michael Wehbe, Aggelos K. Katsaggelos
arXiv  ·  01 Jan 2023  ·  doi:10.48550/arXiv.2301.08798
A Comparative Study of Pretrained Language Models for Long Clinical Text
A Comparative Study of Pretrained Language Models for Long Clinical Text
Yikuan Li, Ramsey M. Wehbe, Faraz S. Ahmad, Hanyin Wang, Yuan Luo
arXiv  ·  01 Jan 2023  ·  doi:10.48550/arXiv.2301.11847

2022

A comparative study of pretrained language models for long clinical text
A comparative study of pretrained language models for long clinical text
Yikuan Li, Ramsey M Wehbe, Faraz S Ahmad, Hanyin Wang, Yuan Luo
Journal of the American Medical Informatics Association  ·  30 Nov 2022  ·  doi:10.1093/jamia/ocac225
Hyponatremia Is a Powerful Predictor of Poor Prognosis in Left Ventricular Assist Device Patients
Hyponatremia Is a Powerful Predictor of Poor Prognosis in Left Ventricular Assist Device Patients
Anjan Tibrewala, Ramsey M. Wehbe, Tingqing Wu, Rebecca Harap, Kambiz Ghafourian, …, Clyde Yancy, Amit Pawale, Allen S. Anderson, Duc T. Pham, Jonathan D. Rich
ASAIO Journal  ·  28 Nov 2022  ·  doi:10.1097/MAT.0000000000001691
A Simple Score to Identify Increased Risk of Transthyretin Amyloid Cardiomyopathy in Heart Failure With Preserved Ejection Fraction
A Simple Score to Identify Increased Risk of Transthyretin Amyloid Cardiomyopathy in Heart Failure With Preserved Ejection Fraction
Daniel R. Davies, Margaret M. Redfield, Christopher G. Scott, Masatoshi Minamisawa, Martha Grogan, …, Ramsey M. Wehbe, Scott D. Solomon, Yogesh N. V. Reddy, Barry A. Borlaug, Omar F. AbouEzzeddine
JAMA Cardiology  ·  01 Oct 2022  ·  doi:10.1001/jamacardio.2022.1781
Incidental detection of ATTR cardiac amyloidosis
Incidental detection of ATTR cardiac amyloidosis
Jessica A. Quaggin-Smith, Ramsey M. Wehbe, Thomas A. Holly
Journal of Nuclear Cardiology  ·  01 Jun 2022  ·  doi:10.1007/s12350-020-02467-9
Validating Deep Learning to Distinguish Takotsubo Syndrome From Acute Myocardial Infarction—Beware of Shortcuts, Human Supervision Required
Validating Deep Learning to Distinguish Takotsubo Syndrome From Acute Myocardial Infarction—Beware of Shortcuts, Human Supervision Required
Ramsey M. Wehbe, James D. Thomas
JAMA Cardiology  ·  01 May 2022  ·  doi:10.1001/jamacardio.2022.0193
Advances in Machine Learning Approaches to Heart Failure with Preserved Ejection Fraction
Advances in Machine Learning Approaches to Heart Failure with Preserved Ejection Fraction
Faraz S. Ahmad, Yuan Luo, Ramsey M. Wehbe, James D. Thomas, Sanjiv J. Shah
Heart Failure Clinics  ·  01 Apr 2022  ·  doi:10.1016/j.hfc.2021.12.002
Unleashing the Power of Machine Learning to Predict Myocardial Recovery After Left Ventricular Assist Device: A Call for the Inclusion of Unstructured Data Sources in Heart Failure Registries
Unleashing the Power of Machine Learning to Predict Myocardial Recovery After Left Ventricular Assist Device: A Call for the Inclusion of Unstructured Data Sources in Heart Failure Registries
Ramsey M. Wehbe
Circulation: Heart Failure  ·  01 Jan 2022  ·  doi:10.1161/CIRCHEARTFAILURE.121.009278
Clinical-Longformer and Clinical-BigBird: Transformers for long clinical sequences
Clinical-Longformer and Clinical-BigBird: Transformers for long clinical sequences
Yikuan Li, Ramsey M. Wehbe, Faraz S. Ahmad, Hanyin Wang, Yuan Luo
arXiv  ·  01 Jan 2022  ·  doi:10.48550/arxiv.2201.11838

2021

DeepCOVID-XR: An Artificial Intelligence Algorithm to Detect COVID-19 on Chest Radiographs Trained and Tested on a Large U.S. Clinical Data Set
DeepCOVID-XR: An Artificial Intelligence Algorithm to Detect COVID-19 on Chest Radiographs Trained and Tested on a Large U.S. Clinical Data Set
Ramsey M. Wehbe, Jiayue Sheng, Shinjan Dutta, Siyuan Chai, Amil Dravid, …, Gregory A. MacNealy, Hatice Savas, Rishi Agrawal, Nishant Parekh, Aggelos K. Katsaggelos
Radiology  ·  01 Apr 2021  ·  doi:10.1148/RADIOL.2020203511
Cases from a busy nuclear cardiology laboratory: Potential pitfalls in the interpretation of cardiac scintigraphy for ATTR cardiac amyloidosis
Cases from a busy nuclear cardiology laboratory: Potential pitfalls in the interpretation of cardiac scintigraphy for ATTR cardiac amyloidosis
Ramsey M. Wehbe, Preeti Kansal, Thomas A. Holly
Journal of Nuclear Cardiology  ·  01 Apr 2021  ·  doi:10.1007/s12350-020-02094-4

2020

Predicting High-Risk Patients and High-Risk Outcomes in Heart Failure
Predicting High-Risk Patients and High-Risk Outcomes in Heart Failure
Ramsey M. Wehbe, Sadiya S. Khan, Sanjiv J. Shah, Faraz S. Ahmad
Heart Failure Clinics  ·  01 Oct 2020  ·  doi:10.1016/j.hfc.2020.05.002
A Left Atrial Thrombus Mimic: Value of Ultrasound Enhancing Agents during Transesophageal Echocardiography
A Left Atrial Thrombus Mimic: Value of Ultrasound Enhancing Agents during Transesophageal Echocardiography
Ramsey M. Wehbe, Vera H. Rigolin
CASE  ·  01 Aug 2020  ·  doi:10.1016/j.case.2020.04.005

2019

Sex Differences in Outcomes of LVAD Patients Bridged to Transplant
Sex Differences in Outcomes of LVAD Patients Bridged to Transplant
Ramsey M. Wehbe, Allen S. Anderson
JACC: Heart Failure  ·  01 Aug 2019  ·  doi:10.1016/j.jchf.2019.04.017

2017

Targeting the Correct Population When Designing Transitional Care Programs for Medicare Patients Hospitalized With Heart Failure
Targeting the Correct Population When Designing Transitional Care Programs for Medicare Patients Hospitalized With Heart Failure
Faraz S. Ahmad, Ramsey M. Wehbe, Preeti Kansal, Hannah A. Jackson, Allen S. Anderson, Clyde W. Yancy, R. Kannan Mutharasan
JAMA Cardiology  ·  01 Nov 2017  ·  doi:10.1001/jamacardio.2017.3089

2016

Underuse of Oral Anticoagulants for Nonvalvular Atrial Fibrillation: Past, Present, and Future
Underuse of Oral Anticoagulants for Nonvalvular Atrial Fibrillation: Past, Present, and Future
Ramsey M. Wehbe, Ajay Yadlapati
Texas Heart Institute Journal  ·  01 Aug 2016  ·  doi:10.14503/THIJ-16-5785

2015

Technology and Its Influence on the Doctor-Patient Relationship
Technology and Its Influence on the Doctor-Patient Relationship
Ramsay Wehbe, Eric Curcio, Mark Gajjar, Ajay Yadlapati
International Cardiovascular Forum Journal  ·  03 Sep 2015  ·  doi:10.17987/icfj.v3i0.99

2009

When to tell and test for genetic carrier status: Perspectives of adolescents and young adults from fragile X families
When to tell and test for genetic carrier status: Perspectives of adolescents and young adults from fragile X families
Ramsey M. Wehbe, Gail A. Spiridigliozzi, Elizabeth M. Heise, Deborah V. Dawson, Allyn McConkie‐Rosell
American Journal of Medical Genetics Part A  ·  15 May 2009  ·  doi:10.1002/ajmg.a.32840