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Arun Nemani

Showing results (11-20 of 20) with videos related to

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Neurophotonics|August 2, 2021
Erratum: Functional brain connectivity related to surgical skill dexterity in physical and virtual simulation environments (Erratum)Arun Nemani, Anil Kamat, Yuanyuan Gao, et al.
Neurophotonics|March 8, 2021
Functional brain connectivity related to surgical skill dexterity in physical and virtual simulation environmentsArun Nemani, Anil Kamat, Yuanyuan Gao, et al.
Surgical Endoscopy|March 13, 2014
A comparison of NOTES transvaginal and laparoscopic cholecystectomy procedures based upon task analysisArun Nemani, Ganesh Sankaranarayanan, Jaisa S Olasky, et al.
Surgical Endoscopy|May 1, 2016
Face and content validation of a Virtual Translumenal Endoscopic Surgery Trainer (VTEST™)Denis Dorozhkin, Arun Nemani, Kurt Roberts, et al.
Scientific Data|October 14, 2023
Assessment of Surgical Tasks Using Neuroimaging Dataset (ASTaUND)Anil Kamat, Condell Eastmond, Yuanyuan Gao, et al.
Frontiers in Neuroscience|April 8, 2021
Decreasing the Surgical Errors by Neurostimulation of Primary Motor Cortex and the Associated Brain Activation via NeuroimagingYuanyuan Gao, Lora Cavuoto, Anirban Dutta, et al.
Journal of Electrocardiology|November 27, 2022
An ECG-based machine learning model for predicting new-onset atrial fibrillation is superior to age and clinical features in identifying patients at high stroke riskSushravya Raghunath, John M Pfeifer, Christopher R Kelsey, et al.
Heart Rhythm|April 9, 2026
Multi-Center Validation of an Artificial Intelligence-Enabled ECG Model to Predict 1-Year Risk of Atrial Fibrillation or FlutterJohn M Pfeifer, Greg Lee, Sushravya Raghunath, et al.
Nature Medicine|May 13, 2020
Prediction of mortality from 12-lead electrocardiogram voltage data using a deep neural networkSushravya Raghunath, Alvaro E Ulloa Cerna, Linyuan Jing, et al.
Circulation|February 16, 2021
Deep Neural Networks Can Predict New-Onset Atrial Fibrillation From the 12-Lead ECG and Help Identify Those at Risk of Atrial Fibrillation-Related StrokeSushravya Raghunath, John M Pfeifer, Alvaro E Ulloa-Cerna, et al.
Pageof 2

Showing results (11-20 of 20) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 20 results.
Neurophotonics|August 2, 2021
Erratum: Functional brain connectivity related to surgical skill dexterity in physical and virtual simulation environments (Erratum)Arun Nemani, Anil Kamat, Yuanyuan Gao, et al.
Neurophotonics|March 8, 2021
Functional brain connectivity related to surgical skill dexterity in physical and virtual simulation environmentsArun Nemani, Anil Kamat, Yuanyuan Gao, et al.
Surgical Endoscopy|March 13, 2014
A comparison of NOTES transvaginal and laparoscopic cholecystectomy procedures based upon task analysisArun Nemani, Ganesh Sankaranarayanan, Jaisa S Olasky, et al.
Surgical Endoscopy|May 1, 2016
Face and content validation of a Virtual Translumenal Endoscopic Surgery Trainer (VTEST™)Denis Dorozhkin, Arun Nemani, Kurt Roberts, et al.
Scientific Data|October 14, 2023
Assessment of Surgical Tasks Using Neuroimaging Dataset (ASTaUND)Anil Kamat, Condell Eastmond, Yuanyuan Gao, et al.
Frontiers in Neuroscience|April 8, 2021
Decreasing the Surgical Errors by Neurostimulation of Primary Motor Cortex and the Associated Brain Activation via NeuroimagingYuanyuan Gao, Lora Cavuoto, Anirban Dutta, et al.
Journal of Electrocardiology|November 27, 2022
An ECG-based machine learning model for predicting new-onset atrial fibrillation is superior to age and clinical features in identifying patients at high stroke riskSushravya Raghunath, John M Pfeifer, Christopher R Kelsey, et al.
Heart Rhythm|April 9, 2026
Multi-Center Validation of an Artificial Intelligence-Enabled ECG Model to Predict 1-Year Risk of Atrial Fibrillation or FlutterJohn M Pfeifer, Greg Lee, Sushravya Raghunath, et al.
Nature Medicine|May 13, 2020
Prediction of mortality from 12-lead electrocardiogram voltage data using a deep neural networkSushravya Raghunath, Alvaro E Ulloa Cerna, Linyuan Jing, et al.
Circulation|February 16, 2021
Deep Neural Networks Can Predict New-Onset Atrial Fibrillation From the 12-Lead ECG and Help Identify Those at Risk of Atrial Fibrillation-Related StrokeSushravya Raghunath, John M Pfeifer, Alvaro E Ulloa-Cerna, et al.
Pageof 2