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Akhil Vaid

AKI in Hospitalized Patients with COVID-19
2020 · Lili Chan, Kumardeep Chaudhary, et al. · Journal of the American Society of Nephrology · 806
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Prevalence and Impact of Myocardial Injury in Patients Hospitalized With COVID-19 Infection
2020 · Anuradha Lala, Kipp W. Johnson, et al. · Journal of the American College of Cardiology · 794
Comparing ChatGPT and GPT-4 performance in USMLE soft skill assessments
2023 · Dana Brin, Vera Sorin, et al. · Scientific Reports · 311
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Deep learning and the electrocardiogram: review of the current state-of-the-art
2020 · Sulaiman Somani, Adam J Russak, et al. · EP Europace · 267
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A foundation model for clinician-centered drug repurposing
2024 · Kexin Huang, Payal Chandak, et al. · Nature Medicine · 259
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Federated Learning of Electronic Health Records to Improve Mortality Prediction in Hospitalized Patients With COVID-19: Machine Learning Approach
2021 · Akhil Vaid, Suraj K Jaladanki, et al. · JMIR Medical Informatics · 256
Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation
2020 · Akhil Vaid, Sulaiman Somani, et al. · Journal of Medical Internet Research · 230
Retrospective cohort study of clinical characteristics of 2199 hospitalised patients with COVID-19 in New York City
2020 · Ishan Paranjpe, Adam J Russak, et al. · BMJ Open · 152
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A foundational vision transformer improves diagnostic performance for electrocardiograms
2023 · Akhil Vaid, Joy Jiang, et al. · npj Digital Medicine · 128
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Using Deep-Learning Algorithms to Simultaneously Identify Right and Left Ventricular Dysfunction From the Electrocardiogram
2021 · Akhil Vaid, Kipp W. Johnson, et al. · JACC. Cardiovascular imaging · 120
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Utilization of Deep Learning for Subphenotype Identification in Sepsis-Associated Acute Kidney Injury
2020 · Kumardeep Chaudhary, Akhil Vaid, et al. · Clinical Journal of the American Society of Nephrology · 107
Evaluating the accuracy of a state-of-the-art large language model for prediction of admissions from the emergency room
2024 · Benjamin S Glicksberg, Prem Timsina, et al. · Journal of the American Medical Informatics Association · 76
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Downregulation of exhausted cytotoxic T cells in gene expression networks of multisystem inflammatory syndrome in children
2021 · Noam D. Beckmann, Phillip H. Comella, et al. · Nature Communications · 70
Molecular states during acute COVID-19 reveal distinct etiologies of long-term sequelae
2022 · Ryan C. Thompson, Nicole W. Simons, et al. · Nature Medicine · 66
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Pediatric ECG-Based Deep Learning to Predict Left Ventricular Dysfunction and Remodeling
2024 · Joshua Mayourian, William G. La Cava, et al. · Circulation · 59
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Artificial intelligence-guided detection of under-recognised cardiomyopathies on point-of-care cardiac ultrasonography: a multicentre study
2025 · Evangelos K Oikonomou, Akhil Vaid, et al. · The Lancet Digital Health · 54
A strategy for cost-effective large language model use at health system-scale
2024 · Eyal Klang, Donald Apakama, et al. · npj Digital Medicine · 49
Implications of the Use of Artificial Intelligence Predictive Models in Health Care Settings
2023 · Akhil Vaid, Ashwin Sawant, et al. · Annals of Internal Medicine · 46
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Using Large Language Models to Automate Data Extraction From Surgical Pathology Reports: Retrospective Cohort Study
2025 · Denise T Lee, Akhil Vaid, et al. · JMIR Formative Research · 43
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Using fine-tuned large language models to parse clinical notes in musculoskeletal pain disorders
2023 · Akhil Vaid, Isotta Landi, et al. · The Lancet Digital Health · 43
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Predictive Approaches for Acute Dialysis Requirement and Death in COVID-19
2021 · Akhil Vaid, Lili Chan, et al. · Clinical Journal of the American Society of Nephrology · 36
Applications of machine learning methods in kidney disease
2020 · Lili Chan, Akhil Vaid, et al. · Current Opinion in Nephrology & Hypertension · 36
Deep Learning-Based Electrocardiogram Analysis Predicts Biventricular Dysfunction and Dilation in Congenital Heart Disease
2024 · Joshua Mayourian, Addison Gearhart, et al. · Journal of the American College of Cardiology · 34
Contrastive learning improves critical event prediction in COVID-19 patients
2021 · Tingyi Wanyan, Hossein Honarvar, et al. · Patterns · 34
Multi-center retrospective cohort study applying deep learning to electrocardiograms to identify left heart valvular dysfunction
2023 · Akhil Vaid, Edgar Argulian, et al. · Communications Medicine · 32
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Works count: 113
Citation count: 4,514
H-index: 26
I10-index: 41
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