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Akhil Vaid

Showing results (1-10 of 67) with videos related to

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Nature|June 23, 2025
Medical AI can transform medicine - but only if we carefully track the data it touchesAkhil Vaid
Current Opinion in Nephrology and Hypertension|April 3, 2020
Applications of machine learning methods in kidney disease: hope or hype?Lili Chan, Akhil Vaid, Girish N Nadkarni
The Lancet. Digital Health|November 4, 2024
Using fine-tuned large language models to parse clinical notes in musculoskeletal pain disordersAkhil Vaid, Isotta Landi, Girish Nadkarni, et al.
Kidney360|July 7, 2023
Deep Learning on Electrocardiograms for Prediction of In-hospital Intradialytic Hypotension in Patients with ESKDAkhil Vaid, Kullaya Takkavatakarn, Jasmin Divers, et al.
JMIR Formative Research|April 7, 2025
Using Large Language Models to Automate Data Extraction From Surgical Pathology Reports: Retrospective Cohort StudyDenise Lee, Akhil Vaid, Kartikeya M Menon, et al.
Scientific Reports|October 1, 2023
Comparing ChatGPT and GPT-4 performance in USMLE soft skill assessmentsDana Brin, Vera Sorin, Akhil Vaid, et al.
Medrxiv : the Preprint Server for Health Sciences|August 16, 2024
A foundation model for clinician-centered drug repurposingKexin Huang, Payal Chandak, Qianwen Wang, et al.
IEEE Transactions on Big Data|March 26, 2021
Relational Learning Improves Prediction of Mortality in COVID-19 in the Intensive Care UnitTingyi Wanyan, Akhil Vaid, Jessica K De Freitas, et al.
Nature Medicine|September 25, 2024
A foundation model for clinician-centered drug repurposingKexin Huang, Payal Chandak, Qianwen Wang, et al.
Journal of the American Heart Association|April 12, 2023
Machine Learning Identifies Plasma Metabolites Associated With Heart Failure in Underrepresented Populations With the <i>TTR</i> V122I VariantJoshua K Park, Ben O Petrazzini, Aparna Saha, et al.
Pageof 7

Showing results (1-10 of 67) with videos related to

Sort By:
Pageof 7
Nature|June 23, 2025
Medical AI can transform medicine - but only if we carefully track the data it touchesAkhil Vaid
Current Opinion in Nephrology and Hypertension|April 3, 2020
Applications of machine learning methods in kidney disease: hope or hype?Lili Chan, Akhil Vaid, Girish N Nadkarni
The Lancet. Digital Health|November 4, 2024
Using fine-tuned large language models to parse clinical notes in musculoskeletal pain disordersAkhil Vaid, Isotta Landi, Girish Nadkarni, et al.
Kidney360|July 7, 2023
Deep Learning on Electrocardiograms for Prediction of In-hospital Intradialytic Hypotension in Patients with ESKDAkhil Vaid, Kullaya Takkavatakarn, Jasmin Divers, et al.
JMIR Formative Research|April 7, 2025
Using Large Language Models to Automate Data Extraction From Surgical Pathology Reports: Retrospective Cohort StudyDenise Lee, Akhil Vaid, Kartikeya M Menon, et al.
Scientific Reports|October 1, 2023
Comparing ChatGPT and GPT-4 performance in USMLE soft skill assessmentsDana Brin, Vera Sorin, Akhil Vaid, et al.
Medrxiv : the Preprint Server for Health Sciences|August 16, 2024
A foundation model for clinician-centered drug repurposingKexin Huang, Payal Chandak, Qianwen Wang, et al.
IEEE Transactions on Big Data|March 26, 2021
Relational Learning Improves Prediction of Mortality in COVID-19 in the Intensive Care UnitTingyi Wanyan, Akhil Vaid, Jessica K De Freitas, et al.
Nature Medicine|September 25, 2024
A foundation model for clinician-centered drug repurposingKexin Huang, Payal Chandak, Qianwen Wang, et al.
Journal of the American Heart Association|April 12, 2023
Machine Learning Identifies Plasma Metabolites Associated With Heart Failure in Underrepresented Populations With the <i>TTR</i> V122I VariantJoshua K Park, Ben O Petrazzini, Aparna Saha, et al.
Pageof 7