Radiologists used AI to categorize breast cancer findings within x-rays in a study with conflicting results — and some misinformation could put patients at risk. Here is detail from a new study.
As part of the study, 27 radiologists read 50 mammograms and provided their Breast Imaging Report and Data System assessment toThe AI system’s prediction had a significant impact on the accuracy of every group of radiologists.
The AI system’s prediction had a significant impact on the accuracy of every group of radiologists . Readers were more likely to assign an incorrect BI-RADS category when the AI system suggested the same category — and vice versa, as HealthImaging.com pointed out in its analysis of the study. The study concluded that when radiologists used AI-suggested categories to assign BI-RADS scores, they — the radiologists — performed worse than when they did it on their own.
Even experienced radiologists were negatively influenced when giving BI-RADS category results, the study found.
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