Volume 22 Issue 7
Jul.  2024
Turn off MathJax
Article Contents
Article Navigation >  Chinese Journal of General Practice  > 2024  >  22(7): 1085-1089
ZHANG Junxiang, LI Chuanfu, LYU Weifu. The application prospects and challenges of artificial intelligence in medical education, medical research, and clinical practice[J]. Chinese Journal of General Practice, 2024, 22(7): 1085-1089. doi: 10.16766/j.cnki.issn.1674-4152.003572
Citation: ZHANG Junxiang, LI Chuanfu, LYU Weifu. The application prospects and challenges of artificial intelligence in medical education, medical research, and clinical practice[J]. Chinese Journal of General Practice, 2024, 22(7): 1085-1089. doi: 10.16766/j.cnki.issn.1674-4152.003572
shu

The application prospects and challenges of artificial intelligence in medical education, medical research, and clinical practice

doi: 10.16766/j.cnki.issn.1674-4152.003572
  • 1.

    Medical Imaging Center, the Second People's Hospital of Bengbu City, Bengbu, Anhui 233000, China

Funds:

 GXXT-2022-031

  • Received Date: 2024-03-25
    Available Online: 2024-09-05
    Abstract
  • Artificial intelligence (AI) is a multidisciplinary collection of theories, technologies, methods, and applications designed to simulate, extend, and expand human intelligence, and can be considered as a tool for enhancing human capabilities. AI has widely penetrated into various industries and people's daily lives, gradually changing the way humans work and live. It will undoubtedly have a profound impact on the development of society and economy. The application of AI in medical education, scientific research, and clinical practice can improve quality, efficiency, effect, and efficiency, and has enormous application potential and bright prospects. In medical education, AI can integrate resources, assist teaching, simulate clinical learning environments, monitor teaching quality, conduct student self-evaluation, and achieve personalized learning. In medical research, AI can mine and process massive data, assist in the research and development of new drugs, predict disease development trends and risks, assist in experimental design, result analysis and paper writing, and play the role of "scientific research assistant". In clinical care, AI has great potential in assisting clinical diagnosis and treatment, supporting clinical decision-making, promoting the "homogeneity" of primary care, patient monitoring, disease prevention, chronic disease follow-up, rehabilitation assistance, health management, and so on. Of course, the current application of AI in the medical field is also facing various challenges and difficulties, such as privacy protection, data security, technology abuse, multidisciplinary integration, cost control, legal and ethical issues, and so forth. It is foreseeable that with the advancement of science and technology, as well as the improvement of relevant supporting laws, regulations, and policies, AI will play an increasingly important role in medical education, scientific research, and clinical practice.

     

    • FullText(HTML)
  • loading
    • References(20)
  • [1]
    陈国湘, 李俊, 韦华, 等. 基于人工智能技术的全科医生培养模式探索[J]. 中华全科医学, 2021, 19(2): 167-170. doi: 10.16766/j.cnki.issn.1674-4152.001758

    CHEN G X, LI J, WEI H, et al. Exploration of general practitioner training model based on artificial intelligence technology[J]. Chinese Journal of General Practice, 2021, 19(2): 167-170. doi: 10.16766/j.cnki.issn.1674-4152.001758
    [2]
    CHEN A J, CHEN W J, LIU Y F. Impact of democratizing artificial intelligence: using ChatGPT in medical education and training[J]. Acad Med, 2024. DOI: 10.1097/ACM.0000000000005672.
    [3]
    ZAREI M, MAMAGHANI H E, ABBASI A, et al. Application of artificial intelligence in medical education: a review of benefits, challenges, and solutions[J]. Medicina Clínica Práctica, 2024, 7(2): 100422. DOI: 10.1016/j.mcpsp.2023.100422.
    [4]
    BOHLER F, AGGARWAL N, PETERS G, et al. Future implications of artificial intelligence in medical education[J]. Cureus, 2024, 16(1): e51859. DOI: 10.7759/cureus.51859.
    [5]
    王艳, 初红, 梁静静, 等. 人工智能背景下高等医学教育的改革现状与探究[J]. 中国医药导报, 2022, 19(13): 64-67. https://www.cnki.com.cn/Article/CJFDTOTAL-YYCY202213011.htm

    WANG Y, CHU H, LIANG J J, et al. Reform status and exploration of higher medical education under the background of artificial intelligence[J]. China Medical Herald, 2022, 19(13): 64-67. https://www.cnki.com.cn/Article/CJFDTOTAL-YYCY202213011.htm
    [6]
    MELNYK O, ISMAIL A, GHORASHI N S, et al. Generative artificial intelligence terminology: a primer for clinicians and medical researchers[J]. Cureus, 2023, 15(12): e49890. DOI: 10.7759/cureus.49890.
    [7]
    《临床肝胆病杂志》编辑部. 《临床肝胆病杂志》关于人工智能生成内容(AIGC)的立场声明[J]. 临床肝胆病杂志, 2023, 39(12): 2945. https://www.cnki.com.cn/Article/CJFDTOTAL-LCGD202408041.htm

    Editorial Board. Position Statement on Artificial Intelligence Generated Content (AIGC)[J]. Journal of Clinical Hepatology, 2023, 39(12): 2495. https://www.cnki.com.cn/Article/CJFDTOTAL-LCGD202408041.htm
    [8]
    FLANAGIN A, PIRRACCHIO R, KHERA R, et al. Reporting use of AI in research and scholarly publication-JAMA network guidance[J]. JAMA, 2024, 331(13): 1096-1098. doi: 10.1001/jama.2024.3471
    [9]
    DUTTON J J. Artificial intelligence and the future of computer-assisted medical research and writing[J]. Ophthalmic Plast Reconstr Surg, 2023, 39(3): 203-205. doi: 10.1097/IOP.0000000000002420
    [10]
    YEDAVALLI V S, TONG E, MARTIN D, et al. Artificial intelligence in stroke imaging: current and future perspectives[J]. Clin Imaging, 2021, 69(1): 246-254.
    [11]
    AKHLAGHI H, FREEMAN S, VARI C, et al. Machine Learning in clinical practice: evaluation of an artificial intelligence tool after implementation[J]. Emerg Med Australas, 2024, 36(1): 118-124. doi: 10.1111/1742-6723.14325
    [12]
    AKINSULIE O C, IDRIS I, ALIYU V A, et al. The potential application of artificial intelligence in veterinary clinical practice and biomedical research[J]. Front Vet Sci, 2024, 11: 1347550. DOI: 10.3389/fvets.2024.1347550.
    [13]
    袁波, 代华, 伍佳, 等. 人工智能在全科医学领域的应用[J]. 中华全科医学, 2021, 19(9): 1433-1436, 1572. doi: 10.16766/j.cnki.issn.1674-4152.002079

    YUAN B, DAI H, WU J, et al. Application of artificial intelligence applications in general practice[J]. Chinese Journal of General Practice, 2021, 19(9): 1433-1436, 1572. doi: 10.16766/j.cnki.issn.1674-4152.002079
    [14]
    ALTARA R, BASSON C J, BIONDI-ZOCCAI G, et al. Exploring the promise and challenges of artificial intelligence in biomedical research and clinical practice[J]. J Cardiovasc Pharmacol, 2024. DOI: 10.1097/FJC.0000000000001546.
    [15]
    赵国桢, 郭诗琪, 庞华鑫, 等. 基于中医临床诊疗数据的真实世界及人工智能研究思路与挑战[J]. 中医杂志, 2023, 64(21): 2170-2175. https://www.cnki.com.cn/Article/CJFDTOTAL-ZZYZ202321002.htm

    ZHAO G Z, GUO S Q, PANG H X, et al. Research Ideas and Challenge of Real World Study and Artificial Intelligence Based On Clinical Diagnosis and Treatment Data of Traditional Chinese Medicine[J]. Journal of Traditional Chinese Medicine, 2023, 64(21): 2170-2175. https://www.cnki.com.cn/Article/CJFDTOTAL-ZZYZ202321002.htm
    [16]
    JIANG L S, WU Z, XU X L, et al. Opportunities and challenges of artificial intelligence in the medical field: current application, emerging problems, and problem-solving strategies[J]. J Int Med Res, 2021, 49(3): 3000605211000157. DOI: 10.1177/03000605211000157.
    [17]
    GOLDBERG C B, ADAMS L, BLUMENTHAL D, et al. To do no harm-and the most good-with AI in health care[J]. NEJM AI, 2024. DOI: 10.1056/AIp2400036.
    [18]
    GOLDBERG C B, ADAMS L, BLUMENTHAL D, et al. To do no harm-and the most good-with AI in health care[J]. Nat Med, 2024, 30(3): 623-627. doi: 10.1038/s41591-024-02853-7
    [19]
    胡梦瑶, 袁飞. 人工智能临床应用的法律规制[J]. 中华医学杂志, 2023, 103(18): 1363-1366.

    HU M Y, YUAN F. Legal regulation of clinical application of artificial intelligence[J]. National Medical Journal of China, 2023, 103(18): 1363-1366.
    [20]
    ISLAM N, SCHAAR M. Use of Generative artificial intelligence in medical research[J]. BMJ, 2024. DOI: 10.1136/bmj.q119.
    • Relative Articles
    • Supplements(0)
    • Cited By
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索
    Get Citation
    PDF
    XML

    Article Metrics

    Article views (212) PDF downloads(26) Cited by()
    Proportional views
    Related

    Address：No. 287, Changhuai Road, Bengbu, Anhui Province, 233004, P.R.ChinaphoneNo：0552-3066635； 0552-3051890Email：zhqkyx@163.com

    Copyright © Chinese Journal of General Practice皖ICP备2020018345号-2

    Supported by: Beijing Renhe Information Technology Co., Ltd.    

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return