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Article
Text Report Analysis to Identify Opportunities for Optimizing Target Selection for Chest Radiograph Artificial Intelligence Models
Our goal was to analyze radiology report text for chest radiographs (CXRs) to identify imaging findings that have the most impact on report length and complexity. Identifying these imaging findings can highlig...
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Article
Correction to: Artificial intelligence in assessment of hepatocellular carcinoma treatment response
A correction to this paper has been published: https://doi.org/10.1007/s00261-021-03098-5
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Article
LI-RADS treatment response assessment of combination locoregional therapy for HCC
HCC incidence continues to increase worldwide and is most frequently discovered at an advanced stage when limited curative options are available. Combination locoregional therapies have emerged to improve pati...
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Article
Artificial intelligence in assessment of hepatocellular carcinoma treatment response
Artificial Intelligence (AI) continues to shape the practice of radiology, with imaging of hepatocellular carcinoma (HCC) being of no exception. This article prepared by members of the LI-RADS Treatment Respon...
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Article
Analysis of Potential for User Errors in Mobile Deployment of Radiology Deep Learning for Cardiac Rhythm Device Detection
We examine how convolutional neural networks (CNNs) for cardiac rhythm device detection can exhibit failures in performance under suboptimal deployment scenarios and examine how medically adversarial image pre...
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Article
Diagnosis in a snap: a pilot study using Snapchat in radiologic didactics
To evaluate Snapchat, an image-based social media platform, as a tool for emergency radiologic didactics comparing image interpretation on mobile devices with conventional analysis on a classroom screen.
