Research for the Business Role and Value of AI in the Medical Industry


  • Runze Li
  • Ping Yuan



Medical Industry, AI, image diagnosis, pharmacy, ChatGPT, human-computer interaction


This paper discusses the development of AI in healthcare, from the past to the present, and the future. We carefully analyzed the process of AI penetration into the medical field and also envisioned the future development of AI in the medical field. Because of AI's excellent computing power and analytical capabilities, it has a great impact on the medical industry. This paper describes the use and value of AI and sorts out the relationship between advantages and disadvantages from the aspects of image diagnosis, pharmacy, ChatGPT and human-computer interaction equipment. Based on recent research, the position of AI in the medical field is demonstrated from multiple perspectives, and their future market is speculated, for various reasons, some development cycles are relatively long, and many aspects need to be considered. Finally, this article presents some of the existing problems of AI in healthcare, from different aspects of patients, hospitals and doctors, and then gives different solutions.


Download data is not yet available.


Cierra, E. W.. (1996). Artificial intelligence in medicine: the challenges ahead. J Am Med Inform Assoc, 3 (6), 363-366.

Pathak, A., Athavale, H., Pathak, T., & Sa, A.. (2021). Artificial intelligence in medicine and understanding its potential for newer applications. Radiance Research Academy (16).

Manihot, C., Ende, J. V. D., Kutty, S., & Ross, H.. (2021). A primer on the present state and future prospects for machine learning and artificial intelligence applications in cardiology. The Canadian journal of cardiology.

Mamdani, M., & Slutsky, A. S.. (2020). Artificial intelligence in intensive care medicine. Intensive Care Medicine (5).

Perc, M., & Hojnik, J.. (2021). Social and legal considerations for artificial intelligence in medicine.

Zhang Q. (2018). Research on business model of innovative application of artificial intelligence in medical industry. China International Finance: Chinese and English (6), 3.

Cheng, Wan-Chiung., IP Protection and Fair Competition for Big Data in Healthc are Angle Health Law Review; Taipei Iss. 76, (Feb 2023): 18-30.

He Bingwei, Zhang Yue, Deng Zhen, Zhu Zhaoju, & Zhu Mingzhu. (2021). Research progress of medical robot and medical industry integration technology. Journal of Fuzhou University: Natural Science Edition, 49 (5), 10.

Sundari, P. S., Subaji, M., & Karthikeyan, J.. (2017). A survey on effective similarity search models and techniques for big data processing in healthcare system. Research Journal of Pharmacy and Technology, 10 (8), 2677-2684.

Choi, Kup-Sze. Hu Li Za Zhi; Integrating Artificial Intelligence into Healthcare Research, Taipei Vol. 67, Iss. 5, (Oct 2020): 12-18. DOI:10.6224/JN.202010_67(5).03.




How to Cite

Li, R., & Yuan, P. (2024). Research for the Business Role and Value of AI in the Medical Industry. Highlights in Business, Economics and Management, 24, 636-640.