Steven Rothenberg

Assistant Professor

The University of Alabama

United States

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Steven Rothenberg is an Assistant Professor at The University of Alabama at Birmingham, USA. His research focuses on the application of artificial intelligence in medical imaging, particularly in areas such as automated image processing, triage evaluation for pulmonary emboli, and osteoporosis screening. His recent publications explore the integration of AI tools in clinical practice and the development of educational infrastructures for AI literacy in the medical field.

Articles (11)

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2025

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2024

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2024

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2024

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2023

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2023

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2023

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2023

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2023

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2022

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2022

Collaborators (3)

Scott Grumley

The University of Alabama

UNITED STATES

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Andrew Smith

The University of Alabama

UNITED STATES

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Florence Xini Doo

Director of Innovation (UM2ii) & Assistant Professor

University of Maryland Medical Center

UNITED STATES

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Steven Rothenberg

Research Interests

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Articles (11)

Demonstrating an Academic Core Facility for Automated Medical Image Processing and Analysis: Workflow Design and Practical Applications

General-Purpose Large Language Models Versus a Domain-Specific Natural Language Processing Tool for Label Extraction From Chest Radiograph Reports

Prospective Evaluation of Artificial Intelligence Triage of Incidental Pulmonary Emboli on Contrast-Enhanced CT Examinations of the Chest or Abdomen.

AI and Chest Radiographs: A Dawning Era in Osteoporosis Screening

Artificial Intelligence Literacy: Developing a Multi-institutional Infrastructure for AI Education

Artificial Intelligence in Body Imaging: An Overview of Commercially Available Tools

Pulmonary Surface Irregularity Score as a New Quantitative CT Marker for Idiopathic Pulmonary Fibrosis-a Pilot Study.

Prospective Evaluation of AI Triage of Pulmonary Emboli on CT Pulmonary Angiograms

Translation of Artificial Intelligence Into Practice: The Radiologist as a Vendor

Inter-Rater Reliability and Correlation of L1 Hounsfield Unit Measurements with DXA Scores

Prospective Evaluation of a Machine-Learning Prediction Model for Missed Radiology Appointments

Collaborators (3)

Scott Grumley

Andrew Smith

Florence Xini Doo

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