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September 10, 2025iRadiologyOpen Access

Evaluating the Capability of Large Language Model Chatbots for Generating Plain Language Summaries in Radiology

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Assessment reveals accuracy and readability variations in six LLM chatbots for radiology abstracts, suggesting tailored model selection.

ChatGPT achieved the highest accuracy and readability scores among LLM chatbots, highlighting its effectiveness.
The study evaluated six chatbots using 100 radiology abstracts, indicating a promising application in science communication.
Flesch reading ease scores demonstrated significant variability among models, affecting how accessible the summaries were.
The findings underscore the need for human oversight in using LLMs for generating plain language summaries.

Sarangi et al. (2025) studied this question.

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September 10, 2025iRadiologyOpen Access

View Full Paper

Ask AI

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Authors

Assessment reveals accuracy and readability variations in six LLM chatbots for radiology abstracts, suggesting tailored model selection.

ChatGPT achieved the highest accuracy and readability scores among LLM chatbots, highlighting its effectiveness.
The study evaluated six chatbots using 100 radiology abstracts, indicating a promising application in science communication.
Flesch reading ease scores demonstrated significant variability among models, affecting how accessible the summaries were.
The findings underscore the need for human oversight in using LLMs for generating plain language summaries.

Sarangi et al. (2025) studied this question.

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