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From AI breakthroughs to imaging trends, we serve up real-time radiology insights.
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Impact of Artificial Intelligence Triage on Radiologist Report Turnaround Time: Real-World Time Savings and Insights From Model Predictions
To quantify the impact of workflow parameters on time savings in report turnaround time due to an AI triage device that prioritized pulmonary embolism (PE) in chest CT pulmonary angiography (CTPA) examinations.
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Deep Learning for Standardized Head CT Reformatting: A Quantitative Analysis of Image Quality and Operator Variability
A single-shot deep learning foundation model can generate head CT reformats with high accuracy and consistency.
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Radiologist Interaction with AI-Generated Preliminary Reports: A Longitudinal Multi-Reader Study
Radiologists’ reading times of chest radiographs with AI-generated reports decreased, and acceptability of these reports without modification increased over time, highlighting improved efficiency but potential risk of over-reliance on AI.
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Green Imaging: Scoping Review of Radiology’s Environmental Impact
To summarize evidence for the environmental impact of radiology services and identify research gaps.
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Repeat Imaging Rates for Office-Based Imaging Studies Interpreted by Nonphysician Practitioners Compared With Radiologists
As differences in imaging patterns may indicate unnecessary care, this study examined differences in repeat imaging rates between imaging studies interpreted by a nonphysician practitioner (NPP) versus a radiologist.