Akhil Vaid

Also affiliated with Harvard University, Yale University, Mount Sinai Hospital, New York Proton Center, Child Health and Development Institute, Icahn School of Medicine at Mount Sinai

MedicineComputer Science

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 1%percentile

7.5Author DataRank

Indexed papers

2in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 2 indexed papers attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

Clinical Characteristics of Hospitalized Covid-19 Patients in New York City

medRxiv(2020)10.1101/2020.04.19.20062117

Top 4%

5.4DataRank

Top 4%107 citations

Adam Russak, Jessica K. De Freitas, Anuradha Lala, Riccardo Miotto, Akhil Vaid +38 more

Papers

Driven by 41 papers — median percentile 93. Top paper: “Prevalence and Impact of Myocardial Injury in Patients Hospitalized With COVID-19 Infection”.

Prevalence and Impact of Myocardial Injury in Patients Hospitalized With COVID-19 Infection

Journal of the American College of Cardiology(2020)10.1016/j.jacc.2020.06.007

N/A

14.7DataRank · unranked

749 citations

Kipp W. Johnson, James L. Januzzi, Adam Russak, Ishan Paranjpe, Felix Richter +17 more

Clinical Characteristics of Hospitalized Covid-19 Patients in New York City

medRxiv(2020)10.1101/2020.04.19.20062117

Top 4%

5.4DataRank

Top 4%107 citations

Adam Russak, Jessica K. De Freitas, Anuradha Lala, Riccardo Miotto, Akhil Vaid +38 more

Using Deep-Learning Algorithms to Simultaneously Identify Right and Left Ventricular Dysfunction From the Electrocardiogram

JACC. Cardiovascular imaging(2021)10.1016/j.jcmg.2021.08.004

N/A

3.6DataRank · unranked

114 citations

Kipp W. Johnson, Marcus A. Badgeley, Sulaiman Somani, Mesude Bicak, Isotta Landi +14 more

Federated Learning of Electronic Health Records Improves Mortality Prediction in Patients Hospitalized with COVID-19

medRxiv(2020)10.1101/2020.08.11.20172809

N/A

2.7DataRank · unranked

51 citations

Suraj K. Jaladanki, Jie Xu, Shelly Teng, Arvind Kumar, Samuel Lee +18 more

Evaluating the accuracy of a state-of-the-art large language model for prediction of admissions from the emergency room

Journal of the American Medical Informatics Association(2024)10.1093/jamia/ocae103

N/A

2.4DataRank · unranked

80 citations

Prem Timsina, Dhaval Patel, Ashwin Sawant, Akhil Vaid, Ganesh Raut +7 more

Retrospective cohort study of clinical characteristics of 2199 hospitalised patients with COVID-19 in New York City

BMJ Open(2020)10.1136/bmjopen-2020-040736

Top 10%

2.0DataRank

Top 10%60 citations

Adam Russak, Jessica K. De Freitas, Anuradha Lala, Riccardo Miotto, Akhil Vaid +39 more

Comparing ChatGPT and GPT-4 performance in USMLE soft skill assessments

Scientific Reports(2023)10.1038/s41598-023-43436-9

N/A

0.868DataRank · unranked

326 citations

Vera Sorin, Akhil Vaid, Ali Soroush, Benjamin Scott Glicksberg, Alexander W. Charney +3 more

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(2020)10.2196/24018

N/A

0.823DataRank · unranked

240 citations

Sulaiman Somani, Adam Russak, Jessica K. De Freitas, Fayzan Chaudhry, Ishan Paranjpe +43 more

Proteomic characterization of acute kidney injury in patients hospitalized with SARS-CoV2 infection

Communications Medicine(2023)10.1038/s43856-023-00307-8

N/A

0.796DataRank · unranked

20 citations

Pushkala Jayaraman, Chen‐Yang Su, Sirui Zhou, Steven Chen, Ryan C. Thompson +38 more

A foundation model for clinician-centered drug repurposing

Nature Medicine(2024)10.1038/s41591-024-03233-x

N/A

0.785DataRank · unranked

186 citations

Payal Chandak, Qianwen Wang, Shreyas Havaldar, Akhil Vaid, Jure Leskovec +5 more

Acute Kidney Injury in Patients Hospitalized With COVID-19 in New York City: Temporal Trends From March 2020 to April 2021

Kidney Medicine(2021)10.1016/j.xkme.2021.06.008

N/A

0.720DataRank · unranked

15 citations

Akhil Vaid, Suraj K. Jaladanki, Steven G. Coca, Zahi A. Fayad, Alexander W. Charney +6 more

Downregulation of exhausted cytotoxic T cells in gene expression networks of multisystem inflammatory syndrome in children

Nature Communications(2021)10.1038/s41467-021-24981-1

N/A

0.628DataRank · unranked

65 citations

Phillip Comella, Esther Cheng, Lauren Lepow, Aviva G. Beckmann, Scott R. Tyler +94 more

A strategy for cost-effective large language model use at health system-scale

npj Digital Medicine(2024)10.1038/s41746-024-01315-1

N/A

0.553DataRank · unranked

39 citations

Donald U. Apakama, Ethan Abbott, Akhil Vaid, Joshua Lampert, Ankit Sakhuja +7 more

Comparison of Approaches for Prediction of Renal Replacement Therapy-Free Survival in Patients with Acute Kidney Injury

Blood Purification(2021)10.1159/000513700

N/A

0.505DataRank · unranked

28 citations

Akhil Vaid, Suraj K. Jaladanki, Ishan Paranjpe, Ross O’Hagan, Kinsuk Chauhan +9 more

Derivation, external and clinical validation of a deep learning approach for detecting intracranial hypertension

npj Digital Medicine(2024)10.1038/s41746-024-01227-0

N/A

0.473DataRank · unranked

8 citations

Pushkala Jayaraman, Ashwin Sawant, Jacob Desman, Benjamin Fox, Annette Chang +14 more

Contrastive learning improves critical event prediction in COVID-19 patients

Patterns(2021)10.1016/j.patter.2021.100389

N/A

0.292DataRank · unranked

6 citations

Hossein Honarvar, Suraj K. Jaladanki, Chengxi Zang, Nidhi Naik, Sulaiman Somani +13 more

Artificial intelligence-guided detection of under-recognized cardiomyopathies on point-of-care cardiac ultrasound: a multi-center study

medRxiv(2024)10.1101/2024.03.10.24304044

N/A

0.292DataRank · unranked

6 citations

Akhil Vaid, Gregory Holste, Andreas Coppi, Robert L. McNamara, Cristiana Baloescu +6 more

InfEHR: Clinical phenotype resolution through deep geometric learning on electronic health records

Nature Communications(2025)10.1038/s41467-025-63366-6

N/A

0.241DataRank · unranked

4 citations

Emma Holmes, Akhil Vaid, Alexander W. Charney, Patricia Kovatch, Joshua Lampert +6 more

Quantitative prediction of right ventricular and size and function from the electrocardiogram

medRxiv(2023)10.1101/2023.04.25.23289130

N/A

0.165DataRank · unranked

2 citations

Akhil Vaid, Ha My T. Vy, Liam R. Butler, Joshua Lampert, Robert H. Pass +8 more

Multi-center retrospective cohort study applying deep learning to electrocardiograms to identify left heart valvular dysfunction

Communications Medicine(2023)10.1038/s43856-023-00240-w

N/A

0DataRank · unranked

29 citations

Edgar Argulian, Stamatios Lerakis, Brett K. Beaulieu‐Jones, Chayakrit Krittanawong, Eyal Klang +6 more

Implications of the Use of Artificial Intelligence Predictive Models in Health Care Settings

Annals of Internal Medicine(2023)10.7326/m23-0949

N/A

0DataRank · unranked

43 citations

Ashwin Sawant, Mayte Suárez‐Fariñas, J. Lee, Sanjeev Kaul, Patricia Kovatch +15 more

Quantitative Prediction of Right Ventricular Size and Function From the ECG

Journal of the American Heart Association(2023)10.1161/jaha.123.031671

N/A

0DataRank · unranked

16 citations

Akhil Vaid, Ha My T. Vy, Liam R. Butler, Joshua Lampert, Robert H. Pass +9 more

A Novel ECG-Based Deep Learning Algorithm to Predict Cardiomyopathy in Patients With Premature Ventricular Complexes

JACC. Clinical electrophysiology(2023)10.1016/j.jacep.2023.05.025

N/A

0DataRank · unranked

12 citations

Akhil Vaid, William Whang, Jacob S. Koruth, Marc A. Miller, Marie-Noelle S. Langan +8 more

Machine Learning Identifies Plasma Metabolites Associated With Heart Failure in Underrepresented Populations With the TTR V122I Variant

Journal of the American Heart Association(2023)10.1161/jaha.122.027736

N/A

0DataRank · unranked

3 citations

Ben Omega Petrazzini, Aparna Saha, Akhil Vaid, Ha My T. Vy, Carla Márquez‐Luna +4 more

Deep Learning on Electrocardiograms for Prediction of In-hospital Intradialytic Hypotension in Patients with ESKD

Kidney360(2023)10.34067/kid.0000000000000208

N/A

0DataRank · unranked

2 citations

Kullaya Takkavatakarn, Jasmin Divers, David M. Charytan, Lili Chan, Girish N. Nadkarni +1 more

A foundational vision transformer improves diagnostic performance for electrocardiograms

npj Digital Medicine(2023)10.1038/s41746-023-00840-9

N/A

0DataRank · unranked

105 citations

Joy Jiang, Ashwin Sawant, Stamatios Lerakis, Edgar Argulian, Yuri Ahuja +7 more

Short-term prediction of coronary artery disease using serum metabolomic patterns

土木技術(2022)10.1016/j.ahjo.2022.100232

N/A

0DataRank · unranked

0 citations

Akhil Vaid, Joshua K. Park, Carla Márquez‐Luna, Ha My T. Vy, Aparna Saha +8 more

Real-world usage diminishes validity of Artificial Intelligence tools

medRxiv(2022)10.1101/2022.11.17.22282440

N/A

0DataRank · unranked

1 citations

Ashwin Sawant, Mayte Suárez‐Fariñas, Ju Hee Lee, Sanjeev Kaul, Patricia Kovatch +15 more

Pediatric ECG-Based Deep Learning to Predict Left Ventricular Dysfunction and Remodeling

Circulation(2024)10.1161/circulationaha.123.067750

N/A

0DataRank · unranked

50 citations

William La Cava, Akhil Vaid, Girish N. Nadkarni, Sunil J. Ghelani, Rebekah Mannix +6 more

Automated Determination of Left Ventricular Function Using Electrocardiogram Data in Patients on Maintenance Hemodialysis

Clinical Journal of the American Society of Nephrology(2022)10.2215/cjn.16481221

N/A

0DataRank · unranked

9 citations

Joy Jiang, Ashwin Sawant, Karandeep Singh, Patricia Kovatch, Alexander W. Charney +6 more

Local large language models for privacy-preserving accelerated review of historic echocardiogram reports

Journal of the American Medical Informatics Association(2024)10.1093/jamia/ocae085

N/A

0DataRank · unranked

28 citations

Son Q. Duong, Joshua Lampert, Patricia Kovatch, Robert Freeman, Edgar Argulian +6 more

Deep Learning-Based Electrocardiogram Analysis Predicts Biventricular Dysfunction and Dilation in Congenital Heart Disease

Journal of the American College of Cardiology(2024)10.1016/j.jacc.2024.05.062

N/A

0DataRank · unranked

27 citations

Addison Gearhart, William La Cava, Akhil Vaid, Girish N. Nadkarni, John K. Triedman +7 more

Enhancing convolutional neural network predictions of electrocardiograms with left ventricular dysfunction using a novel sub-waveform representation

Cardiovascular Digital Health Journal(2022)10.1016/j.cvdhj.2022.07.074

N/A

0DataRank · unranked

12 citations

Chirag Agarwal, Sulaiman Somani, Akhil Vaid, Joshua Lampert, Tingyi Wanyan +7 more

Artificial Intelligence-Based Automated Interpretation of Images of Electrocardiograms: Development and Multinational Validation of ECG-GPT

medRxiv(2024)10.1101/2024.02.17.24302976

N/A

0DataRank · unranked

13 citations

Veer Sangha, Evangelos K. Oikonomou, Lovedeep Singh Dhingra, Arya Aminorroaya, Andreas Coppi +10 more

Prevalence and Impact of Myocardial Injury in Patients Hospitalized with COVID-19 Infection

medRxiv(2020)10.1101/2020.04.20.20072702

N/A

0DataRank · unranked

143 citations

Kipp W. Johnson, James L. Januzzi, Adam Russak, Ishan Paranjpe, Shan Zhao +16 more

Derivation, External Validation and Clinical Implications of a deep learning approach for intracranial pressure estimation using non-cranial waveform measurements

medRxiv(2024)10.1101/2024.01.30.24301974

N/A

0DataRank · unranked

1 citations

Pushkala Jayaraman, Ashwin Sawant, Jacob Desman, Benjamin Fox, Annie Chang +14 more

Multimodal fusion learning for long QT syndrome pathogenic genotypes in a racially diverse population

npj Digital Medicine(2024)10.1038/s41746-024-01218-1

N/A

0DataRank · unranked

0 citations

Ha My T. Vy, Alexander W. Charney, Patricia Kovatch, Vivek Y. Reddy, Pushkala Jayaraman +8 more

Artificial intelligence-guided detection of under-recognised cardiomyopathies on point-of-care cardiac ultrasonography: a multicentre study

The Lancet Digital Health(2025)10.1016/s2589-7500(24)00249-8

N/A

0DataRank · unranked

37 citations

Akhil Vaid, Gregory Holste, Andreas Coppi, Robert L. McNamara, Cristiana Baloescu +6 more

Peripheral Transcriptomics in Acute and Long-Term Kidney Dysfunction in SARS-CoV-2 Infection

Kidney360(2025)10.34067/kid.0000000727

N/A

0DataRank · unranked

7 citations

Madhumitha Rajagopal, Ishan Paranjpe, Mayte Suárez‐Fariñas, Lora E. Liharska, Ryan C. Thompson +27 more

Relational Learning Improves Prediction of Mortality in COVID-19 in the Intensive Care Unit

IEEE Transactions on Big Data(2020)10.1109/tbdata.2020.3048644

N/A

0DataRank · unranked

17 citations

Akhil Vaid, Jessica K. De Freitas, Sulaiman Somani, Riccardo Miotto, Girish N. Nadkarni +4 more

NutriSighT: Interpretable Transformer Model for Dynamic Prediction of Underfeeding Enteral Nutrition in Mechanically Ventilated Patients

Nature Communications(2025)10.1038/s41467-025-66200-1

N/A

0DataRank · unranked

1 citations

Jayshil J. Patel, Akhil Vaid, Jaskirat Gill, Paul McCarthy, Jacob Desman +15 more

Akhil Vaid

Indexed papers

Top data-sharing exemplar

Papers