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AJR. American Journal of Roentgenology
|
February 26, 2013
Comparison of four prediction models to discriminate benign from malignant vertebral compression fractures according to MRI feature analysis
Shrey K Thawait, Jihoon Kim, Roman A Klufas, et al.
Npj Health Systems
|
June 5, 2026
A multi-agent large language model framework to automatically assess performance of a clinical AI Triage tool
Adam E Flanders, Yifan Peng, Luciano Prevedello, et al.
AJR. American Journal of Roentgenology
|
July 26, 2011
The relative effect of vendor variability in CT perfusion results: a method comparison study
Benjamin M Zussman, Garen Boghosian, Richard J Gorniak, et al.
Critical Reviews in Oncology/Hematology
|
August 18, 2020
Radiomics and "radi-…omics" in cancer immunotherapy: a guide for clinicians
Michele Porcu, Cinzia Solinas, Lorenzo Mannelli, et al.
AJNR. American Journal of Neuroradiology
|
November 16, 2005
Incidence of vertebral artery thrombosis in cervical spine trauma: correlation with severity of spinal cord injury
Philip J Torina, Adam E Flanders, John A Carrino, et al.
AJNR. American Journal of Neuroradiology
|
April 7, 2025
Severity Classification of Pediatric Spinal Cord Injuries Using Structural MRI Measures and Deep Learning: A Comprehensive Analysis Across All Vertebral Levels
Zahra Sadeghi-Adl, Sara Naghizadehkashani, Devon Middleton, et al.
Journal of Neurotrauma
|
May 7, 2019
Application of Diffusion Tensor Imaging in Forecasting Neurological Injury and Recovery after Human Cervical Spinal Cord Injury
Michael M Poplawski, Mahdi Alizadeh, Christina V Oleson, et al.
Radiology. Artificial Intelligence
|
April 24, 2024
Erratum for: Performance of the Winning Algorithms of the RSNA 2022 Cervical Spine Fracture Detection Challenge
Ghee Rye Lee, Adam E Flanders, Tyler Richards, et al.
Radiology
|
September 7, 2013
Meaningful use for radiology: current status and future directions
Tara A Morgan, David E Avrin, Christopher D Carr, et al.
Radiology
|
May 20, 2025
Generative Large Language Models Trained for Detecting Errors in Radiology Reports
Cong Sun, Kurt Teichman, Yiliang Zhou, et al.
Page
of 13
Search research articles
Search
Showing results (61-70 of 130) with videos related to
Sort By:
Page
of 13
AJR. American Journal of Roentgenology
|
February 26, 2013
Comparison of four prediction models to discriminate benign from malignant vertebral compression fractures according to MRI feature analysis
Shrey K Thawait, Jihoon Kim, Roman A Klufas, et al.
Npj Health Systems
|
June 5, 2026
A multi-agent large language model framework to automatically assess performance of a clinical AI Triage tool
Adam E Flanders, Yifan Peng, Luciano Prevedello, et al.
AJR. American Journal of Roentgenology
|
July 26, 2011
The relative effect of vendor variability in CT perfusion results: a method comparison study
Benjamin M Zussman, Garen Boghosian, Richard J Gorniak, et al.
Critical Reviews in Oncology/Hematology
|
August 18, 2020
Radiomics and "radi-…omics" in cancer immunotherapy: a guide for clinicians
Michele Porcu, Cinzia Solinas, Lorenzo Mannelli, et al.
AJNR. American Journal of Neuroradiology
|
November 16, 2005
Incidence of vertebral artery thrombosis in cervical spine trauma: correlation with severity of spinal cord injury
Philip J Torina, Adam E Flanders, John A Carrino, et al.
AJNR. American Journal of Neuroradiology
|
April 7, 2025
Severity Classification of Pediatric Spinal Cord Injuries Using Structural MRI Measures and Deep Learning: A Comprehensive Analysis Across All Vertebral Levels
Zahra Sadeghi-Adl, Sara Naghizadehkashani, Devon Middleton, et al.
Journal of Neurotrauma
|
May 7, 2019
Application of Diffusion Tensor Imaging in Forecasting Neurological Injury and Recovery after Human Cervical Spinal Cord Injury
Michael M Poplawski, Mahdi Alizadeh, Christina V Oleson, et al.
Radiology. Artificial Intelligence
|
April 24, 2024
Erratum for: Performance of the Winning Algorithms of the RSNA 2022 Cervical Spine Fracture Detection Challenge
Ghee Rye Lee, Adam E Flanders, Tyler Richards, et al.
Radiology
|
September 7, 2013
Meaningful use for radiology: current status and future directions
Tara A Morgan, David E Avrin, Christopher D Carr, et al.
Radiology
|
May 20, 2025
Generative Large Language Models Trained for Detecting Errors in Radiology Reports
Cong Sun, Kurt Teichman, Yiliang Zhou, et al.
Page
of 13