Federated Learning of Electronic Health Records to Improve Mortality Prediction in Hospitalized Patients With COVID-19: Machine Learning Approach
2021 · JMIR Medical Informatics · 201 citations
https://doi.org/10.2196/24207
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Akhil Vaid
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Akhil Vaid is an academic researcher from Mount Sinai Health System. The author has contributed to research in topics: ECG Monitoring and Analysis & Machine Learning in Healthcare & COVID-19 Clinical Research Studies. The author has an h-index of 28, co-authored 114 publications.
ORCID: 0000-0002-3343-744XPapers by this author
worksA foundation model for clinician-centered drug repurposing
2024 · Nature Medicine · 137 citations
https://doi.org/10.1038/s41591-024-03233-x
Using Deep-Learning Algorithms to Simultaneously Identify Right and Left Ventricular Dysfunction From the Electrocardiogram
2021 · JACC. Cardiovascular imaging · 98 citations
https://doi.org/10.1016/j.jcmg.2021.08.004
A foundational vision transformer improves diagnostic performance for electrocardiograms
2023 · npj Digital Medicine · 96 citations
https://doi.org/10.1038/s41746-023-00840-9
Downregulation of exhausted cytotoxic T cells in gene expression networks of multisystem inflammatory syndrome in children
2021 · Nature Communications · 64 citations
https://doi.org/10.1038/s41467-021-24981-1
Implications of the Use of Artificial Intelligence Predictive Models in Health Care Settings
2023 · Annals of Internal Medicine · 40 citations
https://doi.org/10.7326/m23-0949
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