背景技术放射学发现的明确沟通对于有效的医疗决策至关重要。然而,放射学报告往往是复杂的技术术语,使他们具有挑战性的非放射学医疗保健专业人员和患者理解。大型语言模型,如ChatGPT(聊天生成预训练转换器,OpenAI,旧金山,CA)通过将复杂的报告翻译成简化语言来提供潜在的解决方案。这项研究旨在评估ChatGPT-3.5在简化放射学报告方面的能力,以促进医疗保健专业人员和患者的理解。材料和方法本研究采集了9份放射学报告,涵盖了各种成像方式和医疗条件。这些报告被用来向ChatGPT询问一组七个问题(描述程序,提到关键发现,用简单的语言表达,进一步调查的建议,需要进一步调查,语法或打字错误,并翻译成印地语)。共有八名放射科医生对生成的内容进行了详细评级,总结,简化内容和语言,事实正确性,进一步调查,语法错误,翻译成印地语。结果:报告细节评分最高(准确率为94.17%),患者得出结论评分最低(准确率为85%);病例评分相似(p值=0.97)。ChatGPT的印地语翻译不适合患者交流。结论当前免费版本的ChatGPT-3.5能够有效简化放射学报告,删除技术术语,同时保留基本的诊断信息。免费版本巧妙地简化了放射学报告,增强医疗保健专业人员和患者的可及性。因此,它有可能加强医疗交流,促进医疗保健专业人员和患者的知情决策。
Background Clear communication of radiological findings is crucial for effective healthcare decision-making. However, radiological
reports are often complex with technical terminology, making them challenging for non-radiology healthcare professionals and patients to comprehend. Large language models like ChatGPT (Chat Generative Pre-trained Transformer, by OpenAI, San Francisco, CA) offer a potential solution by translating intricate reports into simplified language. This study aimed to assess the capability of ChatGPT-3.5 in simplifying radiological
reports to facilitate improved understanding by healthcare professionals and patients. Materials and methods Nine radiological reports were taken for this study spanning various imaging modalities and medical conditions. These
reports were used to ask ChatGPT a set of seven questions (describe the procedure, mention the key findings, express in a simple language, suggestions for further investigation, need of further investigation, grammatical or typing errors, and translation into Hindi). A total of eight radiologists rated the generated content in detailing, summarizing, simplifying content and language, factual correctness, further investigation, grammatical errors, and translation to Hindi. Results The highest score was obtained for detailing the report (94.17% accuracy) and the lowest score was for drawing conclusions for the patient (85% accuracy);
case-wise scores were similar (p-value = 0.97). The Hindi translation by ChatGPT was not suitable for patient communication. Conclusion The current free version of ChatGPT-3.5 was able to simplify radiological
reports effectively, removing technical jargon while preserving essential diagnostic information. The free version adeptly simplifies radiological reports, enhancing accessibility for healthcare professionals and patients. Hence, it has the potential to enhance medical communication, facilitating informed decision-making by healthcare professionals and patients.