AuntMinnie.com CT Insider

Kate Madden Yee, Senior Editor, AuntMinnie.com. Headshot

Dear AuntMinnie Member,

Orthopedic injuries require precise classification to guide treatment, and they are typically categorized using a framework called AO (Arbeitsgemeinschaft für Osteosynthesefragen).

However, this system is subject to interobserver variability, which has prompted researchers to investigate how AI -- specifically, large language models (LLMs) -- could be incorporated into the task of interpreting textual radiology reports of CT exams of fractures.

In our featured article for this edition's CT Insider, we're covering a study conducted by a team of German researchers that compared the performance of four LLMs for analyzing radiology reports of bone fractures imaged on CT. Click here to discover what they found.

Once you've read that article, navigate over to our CT content area for more of our reporting on the modality, including the following:

Also this month, we covered research suggesting that CT colonography could be more cost-effective than DNA stool testing, a study that showed how ultralow-dose CT is effective for imaging osteoporosis patients and reduces their radiation exposure, an investigation into how smokers with mental health conditions need better lung cancer screening, and work that found that PCCT improves diagnostic accuracy for coronary stent assessment.

At AuntMinnie, we offer up-to-the-minute coverage of CT's many benefits in our CT content area. If you have CT-related topics you'd like us to consider, please contact me.

Kate Madden Yee
Senior Editor
AuntMinnie.com

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