AI could save radiologists chest x-ray interpretation time

A group at Yonsei University in Seoul, South Korea, calculated reading times for radiologists who interpreted a minimum of 300 chest x-rays per month over a two-month period, either with or without the aid of an AI program (Insight CXR, v3, Lunit). The team found that using AI reduces the time radiologists spend interpreting images that turn out to be normal, first author Dr. Hyun Joo Shin, PhD, and colleagues wrote.

“Overall reading times shortened when radiologists referred to AI, especially for normal [chest x-rays]; however, abnormalities detected by AI on [chest x-rays] appeared to…

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