Artificial Intelligence in MRI Pre-Screening: Improving Accuracy, Safety, and Workflow Efficiency

Authors

• Sara Abdin, The University of Texas MD Anderson Cancer CenterFollow
• Alyssa Sophia Garcia, The University of Texas MD Anderson Cancer CenterFollow
• Cindy Nguyen, The University of Texas MD Anderson Cancer CenterFollow
• Mackenzie Nguyen, The University of Texas MD Anderson Cancer CenterFollow
• Brianna Salinas, The University of Texas MD Anderson Cancer CenterFollow
• Saleha Zafar, The University of Texas MD Anderson Cancer CenterFollow

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Publication Date

Spring 3-28-2026

Keywords

Artificial intelligence (AI), pre-screening, workflow effectiveness, patient safety, contraindications, radiology workflow, and diagnostic imaging

Recommended Citation

Abdin, Sara; Garcia, Alyssa Sophia; Nguyen, Cindy; Nguyen, Mackenzie; Salinas, Brianna; and Zafar, Saleha, "Artificial Intelligence in MRI Pre-Screening: Improving Accuracy, Safety, and Workflow Efficiency" (2026). Research Methods Poster Session 2026. 30.
https://openworks.mdanderson.org/rmps26/30