Akhil Vaid - Concepedia

Author

Akhil Vaid

Icahn School of Medicine at Mount Sinai ORCID

Also Known As

A. Vaid, Aarav Vaid, Adarsh Vaid, Akhil Vaid, Bhaskar Upadhyaya, Jessica S. Johnson, Sadeer Al-Kindi, Scott R. Tyler, Vaid, A., Vaid, Akhil

134

Publications

3.9K

Citations

H-Index

Concepts

All Affiliations

Icahn School of Medicine at Mount Sinai Harvard University Cardiovascular Institute of the South Hasso Plattner Institute Cornell University

About

Akhil Vaid is an author at Icahn School of Medicine at Mount Sinai specializing in medicine, public health, and engineering.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Medicine	9	9	911
2	Public Health	5	5	820
3	Engineering	4	4	473
4	Social Sciences	1	1	412
5	Biomedical Engineering	1	1	28

Akhil Vaid

Publications

3.4K

Citations

H-Index

Page 1

	Year	Citations
Prevalence and Impact of Myocardial Injury in Patients Hospitalized With COVID-19 Infection Anuradha Lala, Kipp W. Johnson, James L. Januzzi, Journal of the American College of Cardiology Covid-19 InfectionHealthcare-associated InfectionClinical EpidemiologyCovid-19 PandemicHospital Epidemiology	2020	731
Image restoration using a neural network Yanjun Zhou, Rama Chellappa, Akhil Vaid, IEEE Transactions on Acoustics Speech and Signal Processing EngineeringNeural Networks (Machine Learning)Social SciencesDeblurringImage Analysis	1988	412
Comparing ChatGPT and GPT-4 performance in USMLE soft skill assessments Dana Brin, Vera Sorin, Akhil Vaid, Scientific Reports	2023	300
Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation Akhil Vaid, Sulaiman Somani, Adam Russak, Journal of Medical Internet Research	2020	231
Federated Learning of Electronic Health Records to Improve Mortality Prediction in Hospitalized Patients With COVID-19: Machine Learning Approach Akhil Vaid, Suraj K. Jaladanki, Jie Xu, JMIR Medical Informatics	2021	197
Prevalence and Impact of Myocardial Injury in Patients Hospitalized with COVID-19 Infection Anuradha Lala, Kipp W. Johnson, James L. Januzzi,	2020	143
A foundation model for clinician-centered drug repurposing Kexin Huang, Payal Chandak, Qianwen Wang, Nature Medicine	2024	127
Clinical Characteristics of Hospitalized Covid-19 Patients in New York City Ishan Paranjpe, Adam Russak, Jessica K. De Freitas,	2020	107
Utilization of Deep Learning for Subphenotype Identification in Sepsis-Associated Acute Kidney Injury Kumardeep Chaudhary, Akhil Vaid, Áine Duffy, Clinical Journal of the American Society of Nephrology	2020	103
Using Deep-Learning Algorithms to Simultaneously Identify Right and Left Ventricular Dysfunction From the Electrocardiogram Akhil Vaid, Kipp W. Johnson, Marcus A. Badgeley, JACC. Cardiovascular imaging	2021	98

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