Search research articles
Contact Us
Filters
Showing results (71-80 of 88) with videos related to
Page
of 9
Sort By:
Nature Communications
|
April 7, 2022
Accurate auto-labeling of chest X-ray images based on quantitative similarity to an explainable AI model
Doyun Kim, Joowon Chung, Jongmun Choi, et al.
Annals of Biomedical Engineering
|
March 2, 2025
A Future of Self-Directed Patient Internet Research: Large Language Model-Based Tools Versus Standard Search Engines
Arya Rao, Andrew Mu, Elizabeth Enichen, et al.
The American Journal of Emergency Medicine
|
October 22, 2022
"All-in-one" window/level whole-body computed tomography scan - A faster way to evaluate trauma cases
Maria Gabriela Figueiro Longo, Pieter Vuylsteke, Can Ozan Tan, et al.
Current Problems in Diagnostic Radiology
|
December 6, 2022
Trends in coronary calcium score and coronary CT angiography imaging volume during the COVID-19 pandemic
Thomas J An, Nicole Kim, Alexander H King, et al.
Journal of the American College of Radiology : JACR
|
May 20, 2020
Initial Experience Integrating a Hands-On Innovation Curriculum Into a Radiology Residency Program and Department
Marc D Succi, Brian F Zamarron, Florian J Fintelmann, et al.
AJNR. American Journal of Neuroradiology
|
May 3, 2024
Implementation of a Survey Spine MR Imaging Protocol for Cord Compression in the Emergency Department: Experience at a Level 1 Trauma Center
Mercy H Mazurek, Annie R Abruzzo, Alexander H King, et al.
Science Translational Medicine
|
August 14, 2015
An inflammation-targeting hydrogel for local drug delivery in inflammatory bowel disease
Sufeng Zhang, Joerg Ermann, Marc D Succi, et al.
Scientific Reports
|
March 16, 2023
Author Correction: Prediction of oxygen requirement in patients with COVID-19 using a pre-trained chest radiograph xAI model: efficient development of auditable risk prediction models via a fine-tuning approach
Joowon Chung, Doyun Kim, Jongmun Choi, et al.
Academic Radiology
|
October 12, 2021
Evaluation of the Aggregated Time Savings in Adopting Fast Brain MRI Techniques for Outpatient Brain MRI
Min Lang, Samuel Cartmell, Azadeh Tabari, et al.
Scientific Reports
|
December 8, 2022
Prediction of oxygen requirement in patients with COVID-19 using a pre-trained chest radiograph xAI model: efficient development of auditable risk prediction models via a fine-tuning approach
Joowon Chung, Doyun Kim, Jongmun Choi, et al.
Page
of 9
Search research articles
Search
Showing results (71-80 of 88) with videos related to
Sort By:
Page
of 9
Nature Communications
|
April 7, 2022
Accurate auto-labeling of chest X-ray images based on quantitative similarity to an explainable AI model
Doyun Kim, Joowon Chung, Jongmun Choi, et al.
Annals of Biomedical Engineering
|
March 2, 2025
A Future of Self-Directed Patient Internet Research: Large Language Model-Based Tools Versus Standard Search Engines
Arya Rao, Andrew Mu, Elizabeth Enichen, et al.
The American Journal of Emergency Medicine
|
October 22, 2022
"All-in-one" window/level whole-body computed tomography scan - A faster way to evaluate trauma cases
Maria Gabriela Figueiro Longo, Pieter Vuylsteke, Can Ozan Tan, et al.
Current Problems in Diagnostic Radiology
|
December 6, 2022
Trends in coronary calcium score and coronary CT angiography imaging volume during the COVID-19 pandemic
Thomas J An, Nicole Kim, Alexander H King, et al.
Journal of the American College of Radiology : JACR
|
May 20, 2020
Initial Experience Integrating a Hands-On Innovation Curriculum Into a Radiology Residency Program and Department
Marc D Succi, Brian F Zamarron, Florian J Fintelmann, et al.
AJNR. American Journal of Neuroradiology
|
May 3, 2024
Implementation of a Survey Spine MR Imaging Protocol for Cord Compression in the Emergency Department: Experience at a Level 1 Trauma Center
Mercy H Mazurek, Annie R Abruzzo, Alexander H King, et al.
Science Translational Medicine
|
August 14, 2015
An inflammation-targeting hydrogel for local drug delivery in inflammatory bowel disease
Sufeng Zhang, Joerg Ermann, Marc D Succi, et al.
Scientific Reports
|
March 16, 2023
Author Correction: Prediction of oxygen requirement in patients with COVID-19 using a pre-trained chest radiograph xAI model: efficient development of auditable risk prediction models via a fine-tuning approach
Joowon Chung, Doyun Kim, Jongmun Choi, et al.
Academic Radiology
|
October 12, 2021
Evaluation of the Aggregated Time Savings in Adopting Fast Brain MRI Techniques for Outpatient Brain MRI
Min Lang, Samuel Cartmell, Azadeh Tabari, et al.
Scientific Reports
|
December 8, 2022
Prediction of oxygen requirement in patients with COVID-19 using a pre-trained chest radiograph xAI model: efficient development of auditable risk prediction models via a fine-tuning approach
Joowon Chung, Doyun Kim, Jongmun Choi, et al.
Page
of 9