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. 2021 Mar;49(3):3000605211000157.
doi: 10.1177/03000605211000157.

Opportunities and challenges of artificial intelligence in the medical field: current application, emerging problems, and problem-solving strategies

Lushun Jiang  1 , Zhe Wu  1 , Xiaolan Xu  1 , Yaqiong Zhan  1 , Xuehang Jin  1 , Li Wang  2 , Yunqing Qiu  1   3
Affiliations

Opportunities and challenges of artificial intelligence in the medical field: current application, emerging problems, and problem-solving strategies

Lushun Jiang et al. J Int Med Res. 2021 Mar.

Abstract

Recent advancements in the field of artificial intelligence have demonstrated success in a variety of clinical tasks secondary to the development and application of big data, supercomputing, sensor networks, brain science, and other technologies. However, no projects can yet be used on a large scale in real clinical practice because of the lack of standardized processes, lack of ethical and legal supervision, and other issues. We analyzed the existing problems in the field of artificial intelligence and herein propose possible solutions. We call for the establishment of a process framework to ensure the safety and orderly development of artificial intelligence in the medical industry. This will facilitate the design and implementation of artificial intelligence products, promote better management via regulatory authorities, and ensure that reliable and safe artificial intelligence products are selected for application.

Keywords: Artificial intelligence; clinical decision support; clinical practice; closed-loop framework; machine learning; medical industry; regulation.

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Conflict of interest statement

Declaration of conflicting interest: The authors declare that there is no conflict of interest.

Figures

Figure 1.
Figure 1.
Artificial intelligence before clinical application
Figure 2.
Figure 2.
Application of artificial intelligence in clinical practice
Figure 3.
Figure 3.
Maintenance and application of database
See this image and copyright information in PMC

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