Commentary
Open Access

The reconstruction of medical knowledge innovation and dissemination in the era of AI

GAO Chengshi
GAO Chengshi
13838001036@163.com
Anhui Zhangu Technology Co., Ltd., Chizhou 247100, Anhui, China
Author information
Article notes
GAO Chengshi, Ph.D., Associate Professor. E-mail: 13838001036@163.com
Received December 9, 2024; Accepted December 20, 2024; Published December 30, 2024
Commentary
Open Access
The reconstruction of medical knowledge innovation and dissemination in the era of AI
GAO Chengshi
GAO Chengshi
13838001036@163.com
Anhui Zhangu Technology Co., Ltd., Chizhou 247100, Anhui, China
Author information
GAO Chengshi, Ph.D., Associate Professor. E-mail: 13838001036@163.com
Article notes
Received December 9, 2024; Accepted December 20, 2024; Published December 30, 2024
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Abstract

Artificial intelligence (AI) tools show great potential in knowledge innovation and dissemination. However, the application of AI tools has also exposed many ethical and compliance issues, including academic integrity risk, data privacy and security risks, lack of accuracy of the content, the definition of ethical responsibility and the fuzziness of academic norms. This paper discusses in detail the advantages and disadvantages of the application of AI tools in medical research and medical paper writing, as well as the reasons. The paper also gives some concrete solutions to the problems of data protection, content verification and ethical education. In addition, we focuses on the transformation of medical knowledge innovation and dissemination paradigm in the era of AI, in order to promote the standardized application of AI technology in medical research.


Key Words: medical research; paper writing; artificial intelligence; ethical issues; academic norms



Metaverse in Medicine

ISSN: 3006-4236

Volume 1, Issue 4

December 2024

Pages: 1-64

PDF CITE Accesses: 12
Metaverse in Medicine
ISSN: 3006-4236
ZENTIME PUBLISHING CORPORATION LIMITED
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