Publications by authors named "Matthew D Li"

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Imaging in clinical trials for psoriatic arthritis: a scoping review.
Andrew Xiao, Ainge Roy, Liz Dennett, Elaine Yacyshyn, Matthew D Li

Skeletal Radiol· November 2025

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[ 11 C]-PBR28 positron emission tomography signal as an imaging marker of joint inflammation in knee osteoarthritis.
Angelica Sandström, Angel Torrado-Carvajal, Erin J Morrissey, Minhae Kim, Zeynab Alshelh, Matthew D Li

Pain· May 2024

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Personalizing Short-term Fracture Prevention After Hip Fracture: CT-based AI Risk Stratification.
Matthew D Li, Jacob L Jaremko

Radiology· January 2024

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Appropriate Reliance on Artificial Intelligence in Radiology Education.
Matthew D Li, Brent P Little

J Am Coll Radiol· November 2023

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Removing Radiographic Markers Using Deep Learning to Enable Image Sharing.
Ken Chang, Matthew D Li

Radiol Artif Intell· November 2023

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Transformer versus traditional natural language processing: how much data is enough for automated radiology report classification?
Eric Yang, Matthew D Li, Shruti Raghavan, Francis Deng, Min Lang

Br J Radiol· September 2023

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Assessing the Severity of COVID-19 Lung Injury in Rheumatic Diseases Versus the General Population Using Deep Learning-Derived Chest Radiograph Scores.
Naomi J Patel, Kristin M D'Silva, Matthew D Li, Tiffany Y T Hsu, Michael DiIorio, Lily Martin, Alessandra Zaccardelli

Arthritis Care Res (Hoboken)· March 2023

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A Prospective Observational Study on Short and Long-Term Outcomes of COVID-19 Patients with Acute Hypoxic Respiratory Failure Treated with High-Flow Nasal Cannula.
Kyle J Medeiros, Carlo Valsecchi, Dario Winterton, Caio A Morais, Eduardo Diaz Delgado, Matthew D Li

J Clin Med· February 2023

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The Radiology: Artificial Intelligence Trainee Editorial Board: Initial Experience and Future Directions.
Pedro V Staziaki, Paul H Yi, Matthew D Li, Dania Daye, Charles E Kahn

Acad Radiol· December 2022

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Radiology Implementation Considerations for Artificial Intelligence (AI) Applied to COVID-19, From the Special Series on AI Applications.
Matthew D Li, Ken Chang, Xueyan Mei, Adam Bernheim, Michael Chung, Brent P Little

AJR Am J Roentgenol· July 2022

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External COVID-19 Deep Learning Model Validation on ACR AI-LAB: It's a Brave New World.
Ali Ardestani, Matthew D Li, Pauley Chea, Jeremy R Wortman, Adam Medina

J Am Coll Radiol· July 2022

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Multi-population generalizability of a deep learning-based chest radiograph severity score for COVID-19.
Matthew D Li, Nishanth T Arun, Mehak Aggarwal, Sharut Gupta, Praveer Singh, Brent P Little, Suely F Ferraciolli, Felipe C Kitamura

Medicine (Baltimore)· July 2022

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Intubation and mortality prediction in hospitalized COVID-19 patients using a combination of convolutional neural network-based scoring of chest radiographs and clinical data.
Aileen O'Shea, Matthew D Li, Nathaniel D Mercaldo, Patricia Balthazar, Avik Som, Brent P Little

BJR Open· March 2022

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Artificial intelligence applied to musculoskeletal oncology: a systematic review.
Matthew D Li, Syed Rakin Ahmed, Edwin Choy, Santiago A Lozano-Calderon, Jayashree Kalpathy-Cramer

Skeletal Radiol· February 2022

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AUR-RRA Review: Logistics of Academic-Industry Partnerships in Artificial Intelligence.
Benjamin Spilseth, Colin D McKnight, Matthew D Li, Christian J Park, Jessica G Fried, Vaishali Phalke

Acad Radiol· January 2022

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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, Michael H Lev, Jayashree Kalpathy-Cramer

Am J Emerg Med· November 2021

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Assessing the Trustworthiness of Saliency Maps for Localizing Abnormalities in Medical Imaging.
Nishanth Arun, Nathan Gaw, Praveer Singh, Ken Chang, Mehak Aggarwal, Julius Adebayo, Matthew D Li

Radiol Artif Intell· November 2021

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Motion degradation in optic nerve MRI: A randomized intraindividual comparison study of eye states.
Francis Deng, Katherine L Reinshagen, Matthew D Li, Amy F Juliano

Eur J Radiol· September 2021

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Right Ventricular Strain Is Common in Intubated COVID-19 Patients and Does Not Reflect Severity of Respiratory Illness.
Lauren E Gibson, Raffaele Di Fenza, Min Lang, Martin I Capriles, Matthew D Li, Brent P Little

J Intensive Care Med· August 2021

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Radiologist-level Scaphoid Fracture Detection: Next Steps for Clinical Application.
Matthew D Li, Martin Torriani

Radiol Artif Intell· July 2021

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Putting the Pieces Together: Deep Learning for Knee MRI Multitissue Abnormality Detection and Severity Grading.
Matthew D Li, Connie Y Chang

Radiol Artif Intell· May 2021

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Prolonged Intubation in Patients With Prior Cerebrovascular Disease and COVID-19.
Shibani S Mukerji, Sudeshna Das, Haitham Alabsi, Laura N Brenner, Aayushee Jain, Colin Magdamo, Elissa Ye, Matthew D Li, Melis N Anahtar

Front Neurol· April 2021

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Implementation of the Radiological Society of North America Expert Consensus Guidelines on Reporting Chest CT Findings Related to COVID-19: A Multireader Performance Study.
Avik Som, Min Lang, Tristan Yeung, Denston Carey, Sherief Garrana, Matthew D Li, Brent P Little

Radiol Cardiothorac Imaging· October 2020

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Automated Assessment and Tracking of COVID-19 Pulmonary Disease Severity on Chest Radiographs using Convolutional Siamese Neural Networks.
Matthew D Li, Nishanth Thumbavanam Arun, Mishka Gidwani, Ken Chang, Francis Deng, Brent P Little

Radiol Artif Intell· July 2020

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Pulmonary Vascular Manifestations of COVID-19 Pneumonia.
Min Lang, Avik Som, Denston Carey, Nicholas Reid, Dexter P Mendoza, Matthew D Li, Brent P Little

Radiol Cardiothorac Imaging· June 2020

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