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ChatGPT作为髌股关节手术患者信息来源的比较研究——非专业人士、医生和专家之间的对比

ChatGPT as a Source for Patient Information on Patellofemoral Surgery-A Comparative Study Amongst Laymen, Doctors, and Experts.

作者信息

Frodl Andreas, Fuchs Andreas, Yilmaz Tayfun, Izadpanah Kaywan, Schmal Hagen, Siegel Markus

机构信息

Department of Orthopedic Surgery and Traumatology, Freiburg University Hospital, Albert Ludwigs University Freiburg, Hugstetter Straße 55, 79106 Freiburg, Germany.

Department of Orthopedic Surgery, University Hospital Odense, Sdr. Boulevard 29, 5000 Odense, Denmark.

出版信息

Clin Pract. 2024 Nov 5;14(6):2376-2384. doi: 10.3390/clinpract14060186.

Abstract

INTRODUCTION

In November 2022, OpenAI launched ChatGPT for public use through a free online platform. ChatGPT is an artificial intelligence (AI) chatbot trained on a broad dataset encompassing a wide range of topics, including medical literature. The usability in the medical field and the quality of AI-generated responses are widely discussed and are the subject of current investigations. Patellofemoral pain is one of the most common conditions among young adults, often prompting patients to seek advice. This study examines the quality of ChatGPT as a source of information regarding patellofemoral conditions and surgery, hypothesizing that there will be differences in the evaluation of responses generated by ChatGPT between populations with different levels of expertise in patellofemoral disorders.

METHODS

A comparison was conducted between laymen, doctors (non-orthopedic), and experts in patellofemoral disorders based on a list of 12 questions. These questions were divided into descriptive and recommendatory categories, with each category further split into basic and advanced content. Questions were used to prompt ChatGPT in April 2024 using the ChatGPT 4.0 engine, and answers were evaluated using a custom tool inspired by the Ensuring Quality Information for Patients (EQIP) instrument. Evaluations were performed independently by laymen, non-orthopedic doctors, and experts, with the results statistically analyzed using a Mann-Whitney U Test. A -value of less than 0.05 was considered statistically significant.

RESULTS

The study included data from seventeen participants: four experts in patellofemoral disorders, seven non-orthopedic doctors, and six laymen. Experts rated the answers lower on average compared to non-experts. Significant differences were observed in the ratings of descriptive answers with increasing complexity. The average score for experts was 29.3 ± 5.8, whereas non-experts averaged 35.3 ± 5.7. For recommendatory answers, experts also gave lower ratings, particularly for more complex questions.

CONCLUSION

ChatGPT provides good quality answers to questions concerning patellofemoral disorders, although questions with higher complexity were rated lower by patellofemoral experts compared to non-experts. This study emphasizes the potential of ChatGPT as a complementary tool for patient information on patellofemoral disorders, although the quality of the answers fluctuates with the complexity of the questions, which might not be recognized by non-experts. The lack of personalized recommendations and the problem of "AI hallucinations" remain a challenge. Human expertise and judgement, especially from trained healthcare experts, remain irreplaceable.

摘要

引言

2022年11月,OpenAI通过一个免费在线平台推出了供公众使用的ChatGPT。ChatGPT是一种人工智能(AI)聊天机器人,它基于包含广泛主题(包括医学文献)的大量数据集进行训练。其在医学领域的可用性以及人工智能生成回复的质量受到广泛讨论,也是当前研究的主题。髌股疼痛是年轻人中最常见的病症之一,常常促使患者寻求建议。本研究考察了ChatGPT作为髌股病症及手术信息来源的质量,假设在髌股疾病专业知识水平不同的人群中,对ChatGPT生成的回复的评估会存在差异。

方法

根据一份包含12个问题的列表,对外行、医生(非骨科)和髌股疾病专家进行了比较。这些问题分为描述性和推荐性类别,每个类别又进一步细分为基础内容和高级内容。2024年4月使用ChatGPT 4.0引擎向ChatGPT提出这些问题,并使用一种受“为患者确保质量信息”(EQIP)工具启发的自定义工具对答案进行评估。外行、非骨科医生和专家分别独立进行评估,结果使用曼-惠特尼U检验进行统计分析。P值小于0.05被认为具有统计学意义。

结果

该研究纳入了17名参与者的数据:4名髌股疾病专家、7名非骨科医生和6名外行。与非专家相比,专家对答案的平均评分较低。随着描述性答案复杂性的增加,评分中观察到显著差异。专家的平均得分为29.3±5.8,而非专家的平均得分为35.3±5.7。对于推荐性答案,专家给出的评分也较低,尤其是对于更复杂的问题。

结论

ChatGPT为有关髌股疾病的问题提供了质量不错的答案,不过与非专家相比,髌股疾病专家对复杂性较高问题的评分较低。本研究强调了ChatGPT作为髌股疾病患者信息补充工具的潜力,尽管答案质量会随问题复杂性而波动,这可能是非专家无法识别的。缺乏个性化推荐以及“人工智能幻觉”问题仍然是一项挑战。人类专业知识和判断力,尤其是来自训练有素的医疗专家的,仍然不可替代。

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