Akhil Vaid

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 35

Top Topics

Respiratory Syndrome Coronavirus

Left Ventricular

St Elevation Myocardial Infarction

Heart Rate Variability

Top Venues

Journal of the American Heart Association

medRxiv : the preprint server for health sciences

NPJ digital medicine

This page only lists publications with an associated author ORCID identifier.

Publications

Joshua Mayourian, William G La Cava, Akhil Vaid, Girish Nitin Nadkarni, Sunil J Ghelani, Rebekah C Mannix, Tal Geva, Audrey Dionne, Mark E Alexander, Son Q Duong, John K Triedman
Pediatric ECG-Based Deep Learning to Predict Left Ventricular Dysfunction and Remodeling. Circulation 149 (12) (2024)
Akshay Khunte, Veer Sangha, Evangelos K Oikonomou, Lovedeep Singh Dhingra, Arya Aminorroaya, Andreas C Coppi, Sumukh Vasisht Shankar, Bobak J Mortazavi, Deepak L Bhatt, Harlan M Krumholz, Girish Nitin Nadkarni, Akhil Vaid, Rohan Khera
Automated Diagnostic Reports from Images of Electrocardiograms at the Point-of-Care. medRxiv : the preprint server for health sciences (2024)
Kexin Huang, Payal Chandak, Qianwen Wang, Shreyas Havaldar, Akhil Vaid, Jure Leskovec, Girish Nitin Nadkarni, Benjamin Scott Glicksberg, Nils Gehlenborg, Marinka Zitnik
A foundation model for clinician-centered drug repurposing. medRxiv : the preprint server for health sciences (2024)
Joy J Jiang, Ha My Thi Vy, Alexander W Charney, Patricia Kovatch, Vivek Reddy, Pushkala Jayaraman, Ron Do, Rohan Khera, Sumeet Chugh, Deepak L Bhatt, Akhil Vaid, Joshua Lampert, Girish Nitin Nadkarni
Multimodal fusion learning for long QT syndrome pathogenic genotypes in a racially diverse population. NPJ digital medicine 7 (1) (2024)
Joy J Jiang, Ha My Thi Vy, Alexander W Charney, Patricia Kovatch, Vivek Reddy, Pushkala Jayaraman, Ron Do, Rohan Khera, Sumeet Chugh, Deepak L Bhatt, Akhil Vaid, Joshua Lampert, Girish Nitin Nadkarni
Multimodal fusion learning for long QT syndrome pathogenic genotypes in a racially diverse population. NPJ digital medicine 7 (1) (2024)
Kexin Huang, Payal Chandak, Qianwen Wang, Shreyas Havaldar, Akhil Vaid, Jure Leskovec, Girish Nitin Nadkarni, Benjamin Scott Glicksberg, Nils Gehlenborg, Marinka Zitnik
A foundation model for clinician-centered drug repurposing. medRxiv : the preprint server for health sciences (2024)
Akshay Khunte, Veer Sangha, Evangelos K Oikonomou, Lovedeep Singh Dhingra, Arya Aminorroaya, Andreas C Coppi, Sumukh Vasisht Shankar, Bobak J Mortazavi, Deepak L Bhatt, Harlan M Krumholz, Girish Nitin Nadkarni, Akhil Vaid, Rohan Khera
Automated Diagnostic Reports from Images of Electrocardiograms at the Point-of-Care. medRxiv : the preprint server for health sciences (2024)
Akshay Khunte, Veer Sangha, Evangelos K Oikonomou, Lovedeep Singh Dhingra, Arya Aminorroaya, Andreas C Coppi, Sumukh Vasisht Shankar, Bobak J Mortazavi, Deepak L Bhatt, Harlan M Krumholz, Girish Nitin Nadkarni, Akhil Vaid, Rohan Khera
Automated Diagnostic Reports from Images of Electrocardiograms at the Point-of-Care. medRxiv : the preprint server for health sciences (2024)
Joshua Mayourian, William G La Cava, Akhil Vaid, Girish Nitin Nadkarni, Sunil J Ghelani, Rebekah C Mannix, Tal Geva, Audrey Dionne, Mark E Alexander, Son Q Duong, John K Triedman
Pediatric ECG-Based Deep Learning to Predict Left Ventricular Dysfunction and Remodeling. Circulation 149 (12) (2024)
Faris F Gulamali, Pushkala Jayaraman, Ashwin S Sawant, Jacob Desman, Benjamin Fox, Annette Chang, Brian Y Soong, Naveen Arivazagan, Alexandra S Reynolds, Son Q Duong, Akhil Vaid, Patricia Kovatch, Robert M Freeman, Ira S Hofer, Ankit Sakhuja, Neha S Dangayach, David S Reich, Alexander W Charney, Girish Nitin Nadkarni
Derivation, external and clinical validation of a deep learning approach for detecting intracranial hypertension. NPJ digital medicine 7 (1) (2024)
Joshua Mayourian, William G La Cava, Akhil Vaid, Girish Nitin Nadkarni, Sunil J Ghelani, Rebekah C Mannix, Tal Geva, Audrey Dionne, Mark E Alexander, Son Q Duong, John K Triedman
Pediatric ECG-Based Deep Learning to Predict Left Ventricular Dysfunction and Remodeling. Circulation 149 (12) (2024)
Joshua Mayourian, William G La Cava, Akhil Vaid, Girish Nitin Nadkarni, Sunil J Ghelani, Rebekah C Mannix, Tal Geva, Audrey Dionne, Mark E Alexander, Son Q Duong, John K Triedman
Pediatric ECG-Based Deep Learning to Predict Left Ventricular Dysfunction and Remodeling. Circulation 149 (12) (2024)
Joy J Jiang, Ha My Thi Vy, Alexander W Charney, Patricia Kovatch, Vivek Reddy, Pushkala Jayaraman, Ron Do, Rohan Khera, Sumeet Chugh, Deepak L Bhatt, Akhil Vaid, Joshua Lampert, Girish Nitin Nadkarni
Multimodal fusion learning for long QT syndrome pathogenic genotypes in a racially diverse population. NPJ digital medicine 7 (1) (2024)
Joshua Mayourian, William G La Cava, Akhil Vaid, Girish Nitin Nadkarni, Sunil J Ghelani, Rebekah C Mannix, Tal Geva, Audrey Dionne, Mark E Alexander, Son Q Duong, John K Triedman
Pediatric ECG-Based Deep Learning to Predict Left Ventricular Dysfunction and Remodeling. Circulation (2024)
Kexin Huang, Payal Chandak, Qianwen Wang, Shreyas Havaldar, Akhil Vaid, Jure Leskovec, Girish Nitin Nadkarni, Benjamin Scott Glicksberg, Nils Gehlenborg, Marinka Zitnik
A foundation model for clinician-centered drug repurposing. medRxiv : the preprint server for health sciences (2024)
Son Q Duong, Akhil Vaid, Ha My Thi Vy, Liam R Butler, Joshua Lampert, Robert H Pass, Alexander W Charney, Jagat Narula, Rohan Khera, Ankit Sakhuja, Hayit Greenspan, Bruce D Gelb, Ron Do, Girish Nitin Nadkarni
Quantitative Prediction of Right Ventricular Size and Function From the ECG. Journal of the American Heart Association 13 (1) (2023)
Son Q Duong, Akhil Vaid, Ha My Thi Vy, Liam R Butler, Joshua Lampert, Robert H Pass, Alexander W Charney, Jagat Narula, Rohan Khera, Ankit Sakhuja, Hayit Greenspan, Bruce D Gelb, Ron Do, Girish Nitin Nadkarni
Quantitative Prediction of Right Ventricular Size and Function From the ECG. Journal of the American Heart Association 13 (1) (2023)
Pushkala Jayaraman, Madhumitha Rajagopal, Ishan Paranjpe, Lora Liharska, Mayte Suárez-Fariñas, Ryan C Thompson, Diane M Del Valle, Noam D Beckmann, Wonsuk Oh, Faris F Gulamali, Justin Kauffman, Edgar G Kozlova, Sergio Dellepiane, George Vasquez-Rios, Akhil Vaid, Joy Jiang, Annie Chen, Ankit Sakhuja, Steven Chen, Ephraim Kenigsberg, John Cijiang He, Steven G Coca, Lili Chan, Eric Schadt, Miram Merad, Seunghee Kim-Schulze, Sacha Gnjatic, Ephraim L Tsalik, Raymond J Langley, Alexander W Charney, Girish Nitin Nadkarni
Peripheral Transcriptomics in Acute and Long-Term Kidney Dysfunction in SARS-CoV2 Infection. medRxiv : the preprint server for health sciences (2023)
Son Q Duong, Akhil Vaid, Ha My Thi Vy, Liam R Butler, Joshua Lampert, Robert H Pass, Alexander W Charney, Jagat Narula, Rohan Khera, Ankit Sakhuja, Hayit Greenspan, Bruce D Gelb, Ron Do, Girish Nitin Nadkarni
Quantitative Prediction of Right Ventricular Size and Function From the ECG. Journal of the American Heart Association 13 (1) (2023)
Girish Nitin Nadkarni, Ishan Paranjpe, Pushkala Jayaraman, Chen-Yang Su, Sirui Zhou, Steven Chen, Diane Del Valle, Ryan C Thompson, Ephraim Kenigsberg, Shan P Zhao, Suraj K Jaladanki, Kumardeep Chaudhary, Steven Ascolillo, Akhil Vaid, Edgar G Kozlova, Arvind Kumar, Manish Paranjpe, Ross O'Hagan, Samir Kamat, Faris Gulamali, Justin Kauffman, Hui Xie, Joceyln Harris, Manishkumar Patel, Kimberly Argueta, Craig Batchelor, Kai Nie, Sergio Dellepiane, Leisha Scott, Matthew A Levin, John Cijiang He, Mayte Suárez-Fariñas, Steven Coca, Lili Chan, Evren U Azeloglu, Eric E Schadt, Noam D Beckmann, Sacha Gnjatic, Miriam Merad, Seunghee Kim-Schulze, John Brent Richards, Benjamin Scott Glicksberg, Alexander W Charney
Proteomic Characterization of Acute Kidney Injury in Patients Hospitalized with SARS-CoV2 Infection. Research square (2023)
Akhil Vaid, Edgar Argulian, Stamatios Lerakis, Brett K Beaulieu-Jones, Chayakrit Krittanawong, Eyal Klang, Joshua Lampert, Vivek Y Reddy, Jagat Narula, Girish Nitin Nadkarni, Benjamin Scott Glicksberg
Multi-center retrospective cohort study applying deep learning to electrocardiograms to identify left heart valvular dysfunction. Communications medicine 3 (1) (2023)
Akhil Vaid, Ashwin S Sawant, Mayte Suárez-Fariñas, Juhee Lee, Sanjeev Kaul, Patricia Kovatch, Robert M Freeman, Joy Jiang, Pushkala Jayaraman, Zahi Adel Fayad, Edgar Argulian, Stamatios Lerakis, Alexander W Charney, Fei Wang, Matthew A Levin, Benjamin Scott Glicksberg, Jagat Narula, Ira Hofer, Karandeep S Singh, Girish Nitin Nadkarni
Implications of the Use of Artificial Intelligence Predictive Models in Health Care Settings : A Simulation Study. Annals of internal medicine (2023)
Akhil Vaid, Edgar Argulian, Stamatios Lerakis, Brett K Beaulieu-Jones, Chayakrit Krittanawong, Eyal Klang, Joshua Lampert, Vivek Y Reddy, Jagat Narula, Girish Nitin Nadkarni, Benjamin Scott Glicksberg
Multi-center retrospective cohort study applying deep learning to electrocardiograms to identify left heart valvular dysfunction. Communications medicine 3 (1) (2023)
Son Q Duong, Akhil Vaid, Ha My Thi Vy, Liam R Butler, Joshua Lampert, Robert H Pass, Alexander W Charney, Jagat Narula, Rohan Khera, Ankit Sakhuja, Hayit Greenspan, Bruce D Gelb, Ron Do, Girish Nitin Nadkarni
Quantitative Prediction of Right Ventricular Size and Function From the ECG. Journal of the American Heart Association 13 (1) (2023)
Son Q Duong, Akhil Vaid, Ha My Thi Vy, Liam R Butler, Joshua Lampert, Robert H Pass, Alexander W Charney, Jagat Narula, Rohan Khera, Ankit Sakhuja, Hayit Greenspan, Bruce D Gelb, Ron Do, Girish Nitin Nadkarni
Quantitative Prediction of Right Ventricular Size and Function From the ECG. Journal of the American Heart Association 13 (1) (2023)
Son Q Duong, Akhil Vaid, Ha My Thi Vy, Liam R Butler, Joshua Lampert, Robert H Pass, Alexander W Charney, Jagat Narula, Rohan Khera, Ankit Sakhuja, Hayit Greenspan, Bruce D Gelb, Ron Do, Girish Nitin Nadkarni
Quantitative Prediction of Right Ventricular Size and Function From the ECG. Journal of the American Heart Association 13 (1) (2023)
Akhil Vaid, Joy Jiang, Ashwin S Sawant, Stamatios Lerakis, Edgar Argulian, Yuri Ahuja, Joshua Lampert, Alexander W Charney, Hayit Greenspan, Jagat Narula, Benjamin Scott Glicksberg, Girish Nitin Nadkarni
A foundational vision transformer improves diagnostic performance for electrocardiograms. NPJ digital medicine 6 (1) (2023)
Son Q Duong, Akhil Vaid, Ha My Thi Vy, Liam R Butler, Joshua Lampert, Robert H Pass, Alexander W Charney, Jagat Narula, Rohan Khera, Ankit Sakhuja, Hayit Greenspan, Bruce D Gelb, Ron Do, Girish Nitin Nadkarni
Quantitative Prediction of Right Ventricular Size and Function From the ECG. Journal of the American Heart Association 13 (1) (2023)
Son Q Duong, Akhil Vaid, Ha My Thi Vy, Liam R Butler, Joshua Lampert, Robert H Pass, Alexander W Charney, Jagat Narula, Rohan Khera, Ankit Sakhuja, Hayit Greenspan, Bruce D Gelb, Ron Do, Girish Nitin Nadkarni
Quantitative Prediction of Right Ventricular Size and Function From the ECG. Journal of the American Heart Association 13 (1) (2023)
Son Q Duong, Akhil Vaid, Ha My Thi Vy, Liam R Butler, Joshua Lampert, Robert H Pass, Alexander W Charney, Jagat Narula, Rohan Khera, Ankit Sakhuja, Hayit Greenspan, Bruce D Gelb, Ron Do, Girish Nitin Nadkarni
Quantitative Prediction of Right Ventricular Size and Function From the ECG. Journal of the American Heart Association 13 (1) (2023)
Son Q Duong, Akhil Vaid, Ha My Thi Vy, Liam R Butler, Joshua Lampert, Robert H Pass, Alexander W Charney, Jagat Narula, Rohan Khera, Ankit Sakhuja, Hayit Greenspan, Bruce D Gelb, Ron Do, Girish Nitin Nadkarni
Quantitative Prediction of Right Ventricular Size and Function From the ECG. Journal of the American Heart Association (2023)
Ishan Paranjpe, Pushkala Jayaraman, Chen-Yang Su, Sirui Zhou, Steven Chen, Ryan C Thompson, Diane Marie Del Valle, Ephraim Kenigsberg, Shan P Zhao, Suraj K Jaladanki, Kumardeep Chaudhary, Steven Ascolillo, Akhil Vaid, Edgar G Kozlova, Justin Kauffman, Arvind Kumar, Manish Paranjpe, Ross O Hagan, Samir Kamat, Faris F Gulamali, Hui Xie, Joceyln Harris, Manishkumar Patel, Kimberly Argueta, Craig Batchelor, Kai Nie, Sergio Dellepiane, Leisha Scott, Matthew A Levin, John Cijiang He, Mayte Suárez-Fariñas, Steven G Coca, Lili Chan, Evren U Azeloglu, Eric E Schadt, Noam D Beckmann, Sacha Gnjatic, Miriam Merad, Seunghee Kim-Schulze, John Brent Richards, Benjamin Scott Glicksberg, Alexander W Charney, Girish Nitin Nadkarni
Proteomic characterization of acute kidney injury in patients hospitalized with SARS-CoV2 infection. Communications medicine 3 (1) (2023)
Akhil Vaid, Suraj K Jaladanki, Jie Xu, Shelly Teng, Arvind Kumar, Samuel J Lee, Sulaiman S Somani, Ishan Paranjpe, Jessica K De Freitas, Tingyi Wanyan, Kipp W Johnson, Mesude Bicak, Eyal Klang, Young Joon Fred Kwon, Anthony Beardsworth Costa, Shan P Zhao, Riccardo Miotto, Alexander W Charney, Erwin P Böttinger, Zahi Adel Fayad, Girish Nitin Nadkarni, Fei Wang, Benjamin Scott Glicksberg
Federated Learning of Electronic Health Records to Improve Mortality Prediction in Hospitalized Patients With COVID-19: Machine Learning Approach. JMIR medical informatics 9 (1) (2021)
Suraj K Jaladanki, Akhil Vaid, Ashwin S Sawant, Jie Xu, Kush Shah, Sergio Dellepiane, Ishan Paranjpe, Lili Chan, Patricia Kovatch, Alexander W Charney, Fei Wang, Benjamin Scott Glicksberg, Karandeep S Singh, Girish Nitin Nadkarni
Development of a federated learning approach to predict acute kidney injury in adult hospitalized patients with COVID-19 in New York City. medRxiv : the preprint server for health sciences (2021)
Akhil Vaid, Sulaiman S Somani, Adam J Russak, Jessica K De Freitas, Fayzan F Chaudhry, Ishan Paranjpe, Kipp W Johnson, Samuel J Lee, Riccardo Miotto, Felix Richter, Shan P Zhao, Noam D Beckmann, Nidhi Naik, Arash Kia, Prem Timsina, Anuradha Lala, Manish D Paranjpe, Eddye A Golden, Matteo Danieletto, Manbir Singh, Dara Meyer, Paul F O'Reilly, Laura M Huckins, Patricia Kovatch, Joseph Finkelstein, Robert M Freeman, Edgar Argulian, Andrew Kasarskis, Bethany L Percha, Judith A Aberg, Emilia Bagiella, Carol R Horowitz, Barbara Murphy, Eric J Nestler, Eric E Schadt, Judy H Cho, Carlos Cordon-Cardo, Valentin Fuster, Dennis S Charney, David L Reich, Erwin P Böttinger, Matthew A Levin, Jagat Narula, Zahi Adel Fayad, Allan Carpenter Just, Alexander W Charney, Girish Nitin Nadkarni, Benjamin Scott Glicksberg
Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation. Journal of medical Internet research 22 (11) (2020)