Posts Tagged ‘Cardiology’
A Multimodal Video-Based AI Biomarker for Aortic Stenosis Development and Progression.
Link: https://doi.org/10.1001/jamacardio.2024.0595 Authors: Oikonomou, Evangelos K; Holste, Gregory; Yuan, Neal; Coppi, Andreas; McNamara, Robert L; Haynes, Norrisa A; Vora, Amit N; Velazquez, Eric J; Li, Fan; Menon, Venu; Kapadia, Samir R; Gill, Thomas M; Nadkarni, Girish N; Krumholz, Harlan M; Wang, Zhangyang; Ouyang, David; Khera, Rohan Abstract: Aortic stenosis (AS) is a major public health…
Read MoreArtificial intelligence-guided detection of under-recognized cardiomyopathies on point-of-care cardiac ultrasound.
Link: https://doi.org/10.1101/2024.03.10.24304044 Authors: Oikonomou, Evangelos K; Holste, Gregory; Coppi, Andreas; McNamara, Robert L; Nadkarni, Girish N; Baloescu, Cristiana; Krumholz, Harlan M; Wang, Zhangyang; Khera, Rohan Abstract: Point-of-care ultrasonography (POCUS) enables access to cardiac imaging directly at the bedside but is limited by brief acquisition, variation in acquisition quality, and lack of advanced protocols. To develop…
Read MoreA Multimodality Video-Based AI Biomarker For Aortic Stenosis Development And Progression.
Link: https://doi.org/10.1101/2023.09.28.23296234 Authors: Oikonomou, Evangelos K; Holste, Gregory; Yuan, Neal; Coppi, Andreas; McNamara, Robert L; Haynes, Norrisa; Vora, Amit N; Velazquez, Eric J; Li, Fan; Menon, Venu; Kapadia, Samir R; Gill, Thomas M; Nadkarni, Girish N; Krumholz, Harlan M; Wang, Zhangyang; Ouyang, David; Khera, Rohan Abstract: Aortic stenosis (AS) is a major public health challenge…
Read MoreAutomated Diagnostic Reports from Images of Electrocardiograms at the Point-of-Care.
Link: https://doi.org/10.1101/2024.02.17.24302976 Authors: Khunte, Akshay; Sangha, Veer; Oikonomou, Evangelos K; Dhingra, Lovedeep S; Aminorroaya, Arya; Coppi, Andreas; Shankar, Sumukh Vasisht; Mortazavi, Bobak J; Bhatt, Deepak L; Krumholz, Harlan M; Nadkarni, Girish N; Vaid, Akhil; Khera, Rohan Abstract: Timely and accurate assessment of electrocardiograms (ECGs) is crucial for diagnosing, triaging, and clinically managing patients. Current workflows…
Read MoreComparison of predicting cardiovascular disease hospitalization using individual, ZIP code-derived, and machine learning model-predicted educational attainment in New York City.
Link: https://doi.org/10.1371/journal.pone.0297919 Authors: Takkavatakarn, Kullaya; Dai, Yang; Hsun Wen, Huei; Kauffman, Justin; Charney, Alexander; Coca, Steven G; Nadkarni, Girish N; Chan, Lili Abstract: Area-level social determinants of health (SDOH) based on patients’ ZIP codes or census tracts have been commonly used in research instead of individual SDOHs. To our knowledge, whether machine learning (ML) could…
Read MorePediatric ECG-Based Deep Learning to Predict Left Ventricular Dysfunction and Remodeling.
Link: https://doi.org/10.1161/CIRCULATIONAHA.123.067750 Authors: Mayourian, Joshua; La Cava, William G; Vaid, Akhil; Nadkarni, Girish N; Ghelani, Sunil J; Mannix, Rebekah; Geva, Tal; Dionne, Audrey; Alexander, Mark E; Duong, Son Q; Triedman, John K Abstract: Artificial intelligence-enhanced ECG analysis shows promise to detect ventricular dysfunction and remodeling in adult populations. However, its application to pediatric populations remains…
Read MoreQuantitative Prediction of Right Ventricular Size and Function From the ECG.
Link: https://doi.org/10.1161/JAHA.123.031671 Authors: Duong, Son Q; Vaid, Akhil; My, Vy Thi Ha; Butler, Liam R; Lampert, Joshua; Pass, Robert H; Charney, Alexander W; Narula, Jagat; Khera, Rohan; Sakhuja, Ankit; Greenspan, Hayit; Gelb, Bruce D; Do, Ron; Nadkarni, Girish N Abstract: Right ventricular ejection fraction (RVEF) and end-diastolic volume (RVEDV) are not readily assessed through traditional…
Read MoreJoint Modeling of Social Determinants and Clinical Factors to Define Subphenotypes in Out-of-Hospital Cardiac Arrest Survival: Cluster Analysis.
Link: https://doi.org/10.2196/51844 Authors: Abbott, Ethan E; Oh, Wonsuk; Dai, Yang; Feuer, Cole; Chan, Lili; Carr, Brendan G; Nadkarni, Girish N Abstract: Machine learning clustering offers an unbiased approach to better understand the interactions of complex social and clinical variables via integrative subphenotypes, an approach not studied in out-of-hospital cardiac arrest (OHCA). We conducted a cluster…
Read MoreAssociation of Racial Residential Segregation With Long-Term Outcomes and Readmissions After Out-of-Hospital Cardiac Arrest Among Medicare Beneficiaries.
Link: https://doi.org/10.1161/JAHA.123.030138 Authors: Abbott, Ethan E; Buckler, David G; Hsu, Jesse Y; Abella, Benjamin S; Richardson, Lynne D; Carr, Brendan G; Zebrowski, Alexis M Abstract: Background The national impact of racial residential segregation on out-of-hospital cardiac arrest outcomes after initial resuscitation remains poorly understood. We sought to characterize the association between measures of racial and…
Read MoreAutomated Identification of Heart Failure with Reduced Ejection Fraction using Deep Learning-based Natural Language Processing.
Link: https://doi.org/10.1101/2023.09.10.23295315 Authors: Nargesi, Arash A; Adejumo, Philip; Dhingra, Lovedeep; Rosand, Benjamin; Hengartner, Astrid; Coppi, Andreas; Benigeri, Simon; Sen, Sounok; Ahmad, Tariq; Nadkarni, Girish N; Lin, Zhenqiu; Ahmad, Faraz S; Krumholz, Harlan M; Khera, Rohan Abstract: The lack of automated tools for measuring care quality has limited the implementation of a national program to assess…
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