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ChatGPT-4:在后疫情时代变革医学教育并应对临床实习挑战

ChatGPT-4: Transforming Medical Education and Addressing Clinical Exposure Challenges in the Post-pandemic Era.

作者信息

Lower Kirk, Seth Ishith, Lim Bryan, Seth Nimish

机构信息

Department of Orthopaedics, St George Hospital, Gray Street, Sydney, NSW 2000 Australia.

Faculty of Science, Medicine, and Health, Central Clinical School at Monash University, The Alfred Centre, 99 Commercial Rd, Melbourne, VIC 3004 Australia.

出版信息

Indian J Orthop. 2023 Aug 10;57(9):1527-1544. doi: 10.1007/s43465-023-00967-7. eCollection 2023 Sep.

Abstract

BACKGROUND

The COVID-19 pandemic has affected medical education, constraining clinical exposure and posing unprecedented challenges for students and junior doctors. This research explores the potential of artificial intelligence (AI), specifically the ChatGPT-4 language model, to transform medical education and address the deficiencies in clinical exposure during the post-pandemic era.

RESEARCH QUESTIONS/PURPOSE: What is the potential of AI large language models in delivering safe and coherent medical advice to junior doctors for clinical orthopaedic scenarios?

PATIENTS AND METHODS

A series of diverse orthopaedic questions was presented to ChatGPT-4, from general medicine to highly specialised fields. The questions were based on a variety of common orthopaedic presentations including neck of femur fracture, compartment syndrome, pulmonary embolism, and a motor vehicle accident. A validated questionnaire (Likert Scale) was implemented to evaluate the answers produced by ChatGPT-4.

RESULTS

Our results indicate that ChatGPT-4 exhibits exceptional proficiency in delivering accurate and coherent medical advice. Its intuitive interface, accessibility, and sophisticated algorithm render it an ideal supplementary tool for medical students and junior doctors. Despite certain limitations, such as its inability to fully address highly specialised areas, this study highlights the potential of AI and ChatGPT-4 to revolutionise medical education and fill the clinical exposure void generated by the pandemic. Future research should concentrate on the practical application of ChatGPT-4 in real-world medical environments and its integration with other emerging technologies to optimise its influence on the education and training of healthcare professionals.

CONCLUSIONS

ChatGPT-4's integration into orthopaedic education and practice can mitigate pandemic-related experience gaps, promoting self-directed, personalised learning and decision-making support for interns and residents. Future advancements may address limitations to enhance healthcare professionals' learning and expertise.

LEVEL OF EVIDENCE

Level III evidence-observational study.

摘要

背景

新冠疫情影响了医学教育,限制了临床实习机会,给学生和初级医生带来了前所未有的挑战。本研究探讨了人工智能(AI),特别是ChatGPT-4语言模型,在疫情后时代变革医学教育和弥补临床实习不足方面的潜力。

研究问题/目的:人工智能大语言模型在为初级医生提供安全且连贯的骨科临床场景医疗建议方面有何潜力?

患者与方法

向ChatGPT-4提出了一系列不同的骨科问题,涵盖从普通医学到高度专业化领域。这些问题基于各种常见的骨科病症表现,包括股骨颈骨折、骨筋膜室综合征、肺栓塞以及机动车事故。采用经过验证的问卷(李克特量表)来评估ChatGPT-4给出的答案。

结果

我们的结果表明,ChatGPT-4在提供准确且连贯的医疗建议方面表现出卓越的能力。其直观的界面、易用性和复杂的算法使其成为医学生和初级医生理想的辅助工具。尽管存在某些局限性,例如无法充分应对高度专业化领域,但本研究凸显了人工智能和ChatGPT-4在变革医学教育以及填补疫情造成的临床实习空白方面的潜力。未来的研究应专注于ChatGPT-4在实际医疗环境中的实际应用及其与其他新兴技术的整合,以优化其对医疗专业人员教育和培训的影响。

结论

将ChatGPT-4整合到骨科教育和实践中可以缓解与疫情相关的经验差距,促进实习生和住院医生的自主、个性化学习以及决策支持。未来的进展可能会解决局限性问题,以提高医疗专业人员的学习效果和专业技能。

证据级别

三级证据——观察性研究。

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