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Akhil Vaid

Showing results (11-20 of 67) with videos related to

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Journal of the American Medical Informatics Association : JAMIA|April 30, 2024
Local large language models for privacy-preserving accelerated review of historic echocardiogram reportsAkhil Vaid, Son Q Duong, Joshua Lampert, et al.
Nature Communications|September 26, 2025
InfEHR: Clinical phenotype resolution through deep geometric learning on electronic health recordsJustin Kauffman, Emma Holmes, Akhil Vaid, et al.
NPJ Digital Medicine|June 6, 2023
A foundational vision transformer improves diagnostic performance for electrocardiogramsAkhil Vaid, Joy Jiang, Ashwin Sawant, et al.
JACC. Advances|October 7, 2024
Ensemble Modeling of Multimodal Electrocardiogram and Echocardiogram Data Improves Quantitative Assessment of Right Ventricular FunctionSon Q Duong, Calista L Dominy, Joshua Lampert, et al.
Clinical Journal of the American Society of Nephrology : CJASN|June 6, 2022
Automated Determination of Left Ventricular Function Using Electrocardiogram Data in Patients on Maintenance HemodialysisAkhil Vaid, Joy J Jiang, Ashwin Sawant, et al.
Medrxiv : the Preprint Server for Health Sciences|April 1, 2024
Artificial intelligence-guided detection of under-recognized cardiomyopathies on point-of-care cardiac ultrasound: a multi-center studyEvangelos K Oikonomou, Akhil Vaid, Gregory Holste, et al.
The Lancet. Digital Health|January 31, 2025
Artificial intelligence-guided detection of under-recognised cardiomyopathies on point-of-care cardiac ultrasonography: a multicentre studyEvangelos K Oikonomou, Akhil Vaid, Gregory Holste, et al.
Cardiovascular Digital Health Journal|October 31, 2022
Enhancing convolutional neural network predictions of electrocardiograms with left ventricular dysfunction using a novel sub-waveform representationHossein Honarvar, Chirag Agarwal, Sulaiman Somani, et al.
Communications Medicine|February 14, 2023
Multi-center retrospective cohort study applying deep learning to electrocardiograms to identify left heart valvular dysfunctionAkhil Vaid, Edgar Argulian, Stamatios Lerakis, et al.
Kidney Medicine|August 9, 2021
Acute Kidney Injury in Patients Hospitalized With COVID-19 in New York City: Temporal Trends From March 2020 to April 2021Sergio Dellepiane, Akhil Vaid, Suraj K Jaladanki, et al.
Pageof 7

Showing results (11-20 of 67) with videos related to

Sort By:
Pageof 7
Journal of the American Medical Informatics Association : JAMIA|April 30, 2024
Local large language models for privacy-preserving accelerated review of historic echocardiogram reportsAkhil Vaid, Son Q Duong, Joshua Lampert, et al.
Nature Communications|September 26, 2025
InfEHR: Clinical phenotype resolution through deep geometric learning on electronic health recordsJustin Kauffman, Emma Holmes, Akhil Vaid, et al.
NPJ Digital Medicine|June 6, 2023
A foundational vision transformer improves diagnostic performance for electrocardiogramsAkhil Vaid, Joy Jiang, Ashwin Sawant, et al.
JACC. Advances|October 7, 2024
Ensemble Modeling of Multimodal Electrocardiogram and Echocardiogram Data Improves Quantitative Assessment of Right Ventricular FunctionSon Q Duong, Calista L Dominy, Joshua Lampert, et al.
Clinical Journal of the American Society of Nephrology : CJASN|June 6, 2022
Automated Determination of Left Ventricular Function Using Electrocardiogram Data in Patients on Maintenance HemodialysisAkhil Vaid, Joy J Jiang, Ashwin Sawant, et al.
Medrxiv : the Preprint Server for Health Sciences|April 1, 2024
Artificial intelligence-guided detection of under-recognized cardiomyopathies on point-of-care cardiac ultrasound: a multi-center studyEvangelos K Oikonomou, Akhil Vaid, Gregory Holste, et al.
The Lancet. Digital Health|January 31, 2025
Artificial intelligence-guided detection of under-recognised cardiomyopathies on point-of-care cardiac ultrasonography: a multicentre studyEvangelos K Oikonomou, Akhil Vaid, Gregory Holste, et al.
Cardiovascular Digital Health Journal|October 31, 2022
Enhancing convolutional neural network predictions of electrocardiograms with left ventricular dysfunction using a novel sub-waveform representationHossein Honarvar, Chirag Agarwal, Sulaiman Somani, et al.
Communications Medicine|February 14, 2023
Multi-center retrospective cohort study applying deep learning to electrocardiograms to identify left heart valvular dysfunctionAkhil Vaid, Edgar Argulian, Stamatios Lerakis, et al.
Kidney Medicine|August 9, 2021
Acute Kidney Injury in Patients Hospitalized With COVID-19 in New York City: Temporal Trends From March 2020 to April 2021Sergio Dellepiane, Akhil Vaid, Suraj K Jaladanki, et al.
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