Volume 22 Issue 7
Jul.  2024
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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.

     

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