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The release of ChatGPT, a language model capable of generating text thatappears human-like and authentic, has gained significant attention beyond theresearch community. We expect that the convincing performance of ChatGPTincentivizes users to apply it to a variety of downstream tasks, includingprompting the model to simplify their own medical reports. To investigate thisphenomenon, we conducted an exploratory case study. In a questionnaire, weasked 15 radiologists to assess the quality of radiology reports simplified byChatGPT. Most radiologists agreed that the simplified reports were factuallycorrect, complete, and not potentially harmful to the patient. Nevertheless,instances of incorrect statements, missed key medical findings, and potentiallyharmful passages were reported. While further studies are needed, the initialinsights of this study indicate a great potential in using large languagemodels like ChatGPT to improve patient-centered care in radiology and othermedical domains.

ChatGPT Makes Medicine Easy to Swallow: An Exploratory Case Study on Simplified Radiology Reports