Evaluating the Performance and Bias of Natural Language Processing Tools in Labeling Chest Radiograph Reports.

Overview of attention for article published in Radiology, October 2024

Altmetric Badge

About this Attention Score

In the top 25% of all research outputs scored by Altmetric
High Attention Score compared to outputs of the same age (89th percentile)
Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

news: 1 news outlet
blogs: 1 blog

twitter: 4 X users

Readers on

mendeley: 27 Mendeley

So far, Altmetric has seen 5 X posts from 4 X users, with an upper bound of 74,944 followers.

In this targeted editorial, Dr. Cai (@GAFIO179783) looks at the performance of various AI tools and examines their demographic biases. https://t.co/HX6EDGeTXy https://t.co/pcwXydmeKR

RT @RadiologyEditor: 📝New study finds NLP tools for chest radiograph report annotation show high accuracy but reveal age bias, with poorer…

📝New study finds NLP tools for chest radiograph report annotation show high accuracy but reveal age bias, with poorer performance in older patients. Improving this could boost AI in healthcare! @SamSantomartino @DrexelMedicine @PaulYiMD @StJude #AI https…

Evaluating the Performance and Bias of Natural Language Processing Tools in Labeling Chest Radiograph Reports | Radiology https://t.co/b18sFeGXgE https://t.co/fvnF47rnVW

This page shows the most recent X posts that mention this research output. Click here to find out how to access more activity, including 1 additional X posts.