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人工智能在解决日本临床研究脱节问题方面的潜力。

Potential of Artificial Intelligence in Addressing Japan's Clinical Research Disconnection.

作者信息

Kaneda Yudai, Ozaki Akihiko

机构信息

School of Medicine, Hokkaido University, Hokkaido, Japan.

Department of Breast and Thyroid Surgery, Jyoban Hospital of Tokiwa Foundation, Fukushima, Japan.

出版信息

JMA J. 2025 Jul 15;8(3):952-953. doi: 10.31662/jmaj.2024-0084. Epub 2025 Jun 13.

Abstract

In February 2023, a report from the Japanese Ministry of Education, Culture, Sports, Science and Technology highlighted that half of the assistant professors at university hospitals spend five hours or less per week on research, with 15% not engaging in research at all. This disconnect between clinical practice and research may be exacerbated by work-style reforms predicting difficulties in allocating time for student guidance and dedicated research at Japanese university hospitals. This study proposes the integration of artificial intelligence (AI) tools, such as ChatGPT, to streamline administrative duties and enhance research productivity, suggesting a need for immediate development of ethical guidelines for AI use in healthcare to improve efficiency and patient care quality.

摘要

2023年2月,日本文部科学省发布的一份报告强调,大学医院中有一半的助理教授每周花在研究上的时间不足5小时,15%的人根本不从事研究。工作方式改革可能会加剧临床实践与研究之间的脱节,预计在日本大学医院分配学生指导时间和专门研究时间会存在困难。本研究提议整合人工智能(AI)工具,如ChatGPT,以简化行政工作并提高研究效率,这表明需要立即制定医疗保健领域人工智能使用的伦理准则,以提高效率和患者护理质量。

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The importance of physician engagement in medical research.医生参与医学研究的重要性。
Front Med (Lausanne). 2025 Feb 27;12:1537023. doi: 10.3389/fmed.2025.1537023. eCollection 2025.
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Evidence-based medicine.循证医学
Semin Perinatol. 1997 Feb;21(1):3-5. doi: 10.1016/s0146-0005(97)80013-4.

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