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Comparing Large Language Model and Human Reader Accuracy with <i>New England Journal of Medicine</i> Image Challenge Case Image Inputs
36
Zitationen
15
Autoren
2024
Jahr
Abstract
< .001). Text input length affected LLM accuracy (odds ratio range, 3.2 [95% CI: 1.9, 5.5] to 6.6 [95% CI: 3.7, 12.0]). Conclusion LLMs demonstrated substantial accuracy with text and image inputs, outperforming a medical student. However, their accuracy decreased with shorter text lengths, regardless of image input. © RSNA, 2024
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