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Journal of the American College of Radiology : JACR
|
April 28, 2022
External COVID-19 Deep Learning Model Validation on ACR AI-LAB: It's a Brave New World
Ali Ardestani, Matthew D Li, Pauley Chea, et al.
Academic Radiology
|
May 23, 2022
The Radiology: Artificial Intelligence Trainee Editorial Board: Initial Experience and Future Directions
Pedro V Staziaki, Paul H Yi, Matthew D Li, et al.
Skeletal Radiology
|
May 20, 2021
Artificial intelligence applied to musculoskeletal oncology: a systematic review
Matthew D Li, Syed Rakin Ahmed, Edwin Choy, et al.
The American Journal of Emergency Medicine
|
June 1, 2021
Automated tracking of emergency department abdominal CT findings during the COVID-19 pandemic using natural language processing
Matthew D Li, Peter A Wood, Tarik K Alkasab, et al.
Journal of the American College of Radiology : JACR
|
March 9, 2019
Quality of Documentation of Contrast Agent Allergies in Electronic Health Records
Francis Deng, Matthew D Li, Adrian Wong, et al.
AJR. American Journal of Roentgenology
|
October 6, 2021
Radiology Implementation Considerations for Artificial Intelligence (AI) Applied to COVID-19, From the <i>AJR</i> Special Series on AI Applications
Matthew D Li, Ken Chang, Xueyan Mei, et al.
AJR. American Journal of Roentgenology
|
February 17, 2021
Yttrium-90 Hepatic Radioembolization for Advanced Chemorefractory Metastatic Colorectal Cancer: Survival Outcomes Based on Right- Versus Left-Sided Primary Tumor Location
Vincent Wu, Matthew D Li, J Scott Goodwin, et al.
Emergency Radiology
|
July 23, 2020
Lung apical findings in coronavirus disease (COVID-19) infection on neck and cervical spine CT
Brooks P Applewhite, Karen Buch, Byung Chul Yoon, et al.
The British Journal of Radiology
|
May 10, 2023
Transformer versus traditional natural language processing: how much data is enough for automated radiology report classification?
Eric Yang, Matthew D Li, Shruti Raghavan, et al.
Journal of Vascular and Interventional Radiology : JVIR
|
March 2, 2019
Same-Day Yttrium-90 Radioembolization: Feasibility with Resin Microspheres
Matthew D Li, Katrina F Chu, Allegra DePietro, et al.
Page
of 6
Search research articles
Search
Showing results (21-30 of 60) with videos related to
Sort By:
Page
of 6
Journal of the American College of Radiology : JACR
|
April 28, 2022
External COVID-19 Deep Learning Model Validation on ACR AI-LAB: It's a Brave New World
Ali Ardestani, Matthew D Li, Pauley Chea, et al.
Academic Radiology
|
May 23, 2022
The Radiology: Artificial Intelligence Trainee Editorial Board: Initial Experience and Future Directions
Pedro V Staziaki, Paul H Yi, Matthew D Li, et al.
Skeletal Radiology
|
May 20, 2021
Artificial intelligence applied to musculoskeletal oncology: a systematic review
Matthew D Li, Syed Rakin Ahmed, Edwin Choy, et al.
The American Journal of Emergency Medicine
|
June 1, 2021
Automated tracking of emergency department abdominal CT findings during the COVID-19 pandemic using natural language processing
Matthew D Li, Peter A Wood, Tarik K Alkasab, et al.
Journal of the American College of Radiology : JACR
|
March 9, 2019
Quality of Documentation of Contrast Agent Allergies in Electronic Health Records
Francis Deng, Matthew D Li, Adrian Wong, et al.
AJR. American Journal of Roentgenology
|
October 6, 2021
Radiology Implementation Considerations for Artificial Intelligence (AI) Applied to COVID-19, From the <i>AJR</i> Special Series on AI Applications
Matthew D Li, Ken Chang, Xueyan Mei, et al.
AJR. American Journal of Roentgenology
|
February 17, 2021
Yttrium-90 Hepatic Radioembolization for Advanced Chemorefractory Metastatic Colorectal Cancer: Survival Outcomes Based on Right- Versus Left-Sided Primary Tumor Location
Vincent Wu, Matthew D Li, J Scott Goodwin, et al.
Emergency Radiology
|
July 23, 2020
Lung apical findings in coronavirus disease (COVID-19) infection on neck and cervical spine CT
Brooks P Applewhite, Karen Buch, Byung Chul Yoon, et al.
The British Journal of Radiology
|
May 10, 2023
Transformer versus traditional natural language processing: how much data is enough for automated radiology report classification?
Eric Yang, Matthew D Li, Shruti Raghavan, et al.
Journal of Vascular and Interventional Radiology : JVIR
|
March 2, 2019
Same-Day Yttrium-90 Radioembolization: Feasibility with Resin Microspheres
Matthew D Li, Katrina F Chu, Allegra DePietro, et al.
Page
of 6