人工智能工具在医学研究生科学研究中的使用现状及应用探索

doi:10.3969/j.issn.2096-045X.2026.01.016

摘要/Abstract

摘要： 目的　对医学研究生在科学研究中使用人工智能工具的现状进行调查，并探讨人工智能在科学研究方面的作用。方法　以首都医科大学宣武医院老年医学科轮转的2022级、2023级、2024级35名医学研究生为调查对象，采用问卷调查比较人工智能对不同年级医学生科研能力提升及科研水平所起作用的差异，不同年级医学生对于人工智能使用能力的差异。结果　在科研技能方面，三年级研究生得分高于一年级研究生［51.00（44.00，52.00）分vs 40.00（39.00，42.25）分，P=0.030］。在科研情感及科研总分方面，随着年级的增长，得分有升高的趋势。使用人工智能后，不同年级研究生对资料检索与证据质量评估能力增强的认同率差异有统计学意义（一、二、三年级的认同率依次为87.50%、26.32%和25.00%，P=0.020），三年级的认同率高于一、二年级。不同年级研究生对人工智能辅助下处理科研时遇到意外情况能力的认同率差异有统计学意义（一、二、三年级的认同率依次为87.50%、57.89%和12.50%，P=0.038），三年级的认同率高于一年级。人工智能使用能力与科研能力及科研水平正相关。结论　人工智能有助于医学生提高科研能力，其中三年级研究生提升明显且对人工智能工具使用能力最强。

关键词:

, 人工智能｜医学研究生｜科学研究｜使用现状｜应用探索

Abstract:

Objective　To investigate the current status of artificial intelligence (AI) application in scientific research among medical postgraduates and explore the role of AI in scientific research.Methods　A total of 35 medical postgraduates from the 2022, 2023 and 2024 cohorts who rotated in the Department of Geriatrics, Xuanwu Hospital, Capital Medical University were recruited as the research subjects. A questionnaire survey was conducted to compare the differences in the role of AI in improving research capabilities and research performance among postgraduates of different grades, as well as the differences in AI application proficiency among postgraduates of different grades.Results　In terms of research skills, the score of third-year postgraduates was significantly higher than that of first-year postgraduates [51.00 (44.00, 52.00) points vs 40.00 (39.00, 42.25) points, P=0.030]. In terms of research-related attitudes and total research scores, there was an increasing trend with the advancement of academic grades. After AI application, there was a statistically significant difference in the recognition rate of improved capabilities in literature retrieval and evidence quality evaluation among postgraduates of different grades (the recognition rates of first-, second- and third-year postgraduates were 87.50%, 26.32% and 25.00% respectively, P=0.020), with third-year postgraduates showing a higher recognition rate than first- and second-year postgraduates. There was also a statistically significant difference in the recognition rate of enhanced ability to handle unexpected situations in scientific research with AI assistance among postgraduates of different grades (the recognition rates of first-, second- and third-year postgraduates were 87.50%, 57.89% and 12.50% respectively, P=0.038), and the recognition rate of third-year postgraduates was higher than that of first-year postgraduates. AI application proficiency was positively correlated with research capabilities and research performance.Conclusion　AI is conducive to improving the research capabilities of medical postgraduates, among whom third-year postgraduates have achieved the most significant improvement and demonstrated the strongest AI application proficiency.

中图分类号:

R4
G642

佀思聪, 李静, 杨伟, 魏占云, 孙璟皓, 吕龙峰.

人工智能工具在医学研究生科学研究中的使用现状及应用探索 [J]. 医学教育管理, 2026, 12(1): 99-107.

Si Sicong, Li Jing, Yang Wei, Wei Zhanyun, Sun Jinghao, Lü Longfeng.

Current application status and exploration of artificial intelligence tools in the scientific research of medical postgraduates [J]. Medical Education Management, 2026, 12(1): 99-107.

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