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JAMIA Open
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March 12, 2021
Research and Exploratory Analysis Driven-Time-data Visualization (read-tv) software
John Del Gaizo, Ken R Catchpole, Alexander V Alekseyenko
The Journal of Trauma and Acute Care Surgery
|
January 23, 2026
A multicenter analysis of a two-tier triage system for serious injuries, morbidity, and mortality in pediatric patients following blunt trauma
Allison B Frederick, Andrew Wright, John Del Gaizo, et al.
JAMIA Open
|
January 20, 2023
Red Flag/Blue Flag visualization of a common CNN for text classification
John Del Gaizo, Jihad S Obeid, Kenneth R Catchpole, et al.
Plos One
|
April 25, 2024
Prediction of coronary artery bypass graft outcomes using a single surgical note: An artificial intelligence-based prediction model study
John Del Gaizo, Curry Sherard, Khaled Shorbaji, et al.
Speech Communication
|
June 17, 2024
Post-Processing Automatic Transcriptions with Machine Learning for Verbal Fluency Scoring
Justin Bushnell, Frederick Unverzagt, Virginia G Wadley, et al.
Brain and Behavior
|
October 28, 2017
Using machine learning to classify temporal lobe epilepsy based on diffusion MRI
John Del Gaizo, Neda Mofrad, Jens H Jensen, et al.
Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology
|
October 5, 2019
Predicting naming responses based on pre-articulatory electrical activity in individuals with aphasia
Janina Wilmskoetter, John Del Gaizo, Lorelei Phillip, et al.
Eneuro
|
November 8, 2017
Mapping Language Networks Using the Structural and Dynamic Brain Connectomes
John Del Gaizo, Julius Fridriksson, Grigori Yourganov, et al.
Alzheimer'S & Dementia (Amsterdam, Netherlands)
|
May 16, 2022
Verbal fluency response times predict incident cognitive impairment
Matthew R Ayers, Justin Bushnell, Sujuan Gao, et al.
Journal of Thrombosis and Thrombolysis
|
March 6, 2026
Artificial intelligence for venous thromboembolism risk stratification in surgical patients: a systematic review
Kavin Shah, Michael Gadelrab, Emily A Brennan, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 15) with videos related to
Sort By:
Page
of 2
JAMIA Open
|
March 12, 2021
Research and Exploratory Analysis Driven-Time-data Visualization (read-tv) software
John Del Gaizo, Ken R Catchpole, Alexander V Alekseyenko
The Journal of Trauma and Acute Care Surgery
|
January 23, 2026
A multicenter analysis of a two-tier triage system for serious injuries, morbidity, and mortality in pediatric patients following blunt trauma
Allison B Frederick, Andrew Wright, John Del Gaizo, et al.
JAMIA Open
|
January 20, 2023
Red Flag/Blue Flag visualization of a common CNN for text classification
John Del Gaizo, Jihad S Obeid, Kenneth R Catchpole, et al.
Plos One
|
April 25, 2024
Prediction of coronary artery bypass graft outcomes using a single surgical note: An artificial intelligence-based prediction model study
John Del Gaizo, Curry Sherard, Khaled Shorbaji, et al.
Speech Communication
|
June 17, 2024
Post-Processing Automatic Transcriptions with Machine Learning for Verbal Fluency Scoring
Justin Bushnell, Frederick Unverzagt, Virginia G Wadley, et al.
Brain and Behavior
|
October 28, 2017
Using machine learning to classify temporal lobe epilepsy based on diffusion MRI
John Del Gaizo, Neda Mofrad, Jens H Jensen, et al.
Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology
|
October 5, 2019
Predicting naming responses based on pre-articulatory electrical activity in individuals with aphasia
Janina Wilmskoetter, John Del Gaizo, Lorelei Phillip, et al.
Eneuro
|
November 8, 2017
Mapping Language Networks Using the Structural and Dynamic Brain Connectomes
John Del Gaizo, Julius Fridriksson, Grigori Yourganov, et al.
Alzheimer'S & Dementia (Amsterdam, Netherlands)
|
May 16, 2022
Verbal fluency response times predict incident cognitive impairment
Matthew R Ayers, Justin Bushnell, Sujuan Gao, et al.
Journal of Thrombosis and Thrombolysis
|
March 6, 2026
Artificial intelligence for venous thromboembolism risk stratification in surgical patients: a systematic review
Kavin Shah, Michael Gadelrab, Emily A Brennan, et al.
Page
of 2