Artificial Intelligence with Great Potential in Medical Informatics: A Brief Review


  • Hao Lin School of Life Science and Technology, University of Electronic Science and Technology of China, China



artificial intelligence, medical informatics, omics, prediction


In the 1950s and 1960s, in molecular biology, information technology was mainly applied to the molecular evolution of proteins and DNA, and later expanded to multiple fields such as sequence alignment, protein structure prediction, and gene splicing. Entering the 21st century, the completion of the Human Genome Project marks the arrival of the era of biomedical big data, providing a large amount of data for the application of artificial intelligence in this field. Especially in recent years, the continuous accumulation of medical data has pushed the application of artificial intelligence in the medical field to a broader and more practical level. This paper briefly introduces the applications of artificial intelligence in genomics, proteomics, transcriptomics, epigenetics, drug development, and other fields. I hope this review can clearly introduce which biomedical fields artificial intelligence can be applied to, and also promote doctors and related scholars to actively use artificial intelligence technology to solve specific biomedical problems.


Received: 1 December 2023 | Revised: 31 January 2024 | Accepted: 18 February 2024


Conflicts of Interest

Hao Lin is the Editor-in-Chief for Medinformatics, and was not involved in the editorial review or the decision to publish this article. The author declares that he has no conflicts of interest to this work.


Data Availability Statement

Data sharing is not applicable to this article as no new data were created or analyzed in this study.




How to Cite

Lin, H. (2024). Artificial Intelligence with Great Potential in Medical Informatics: A Brief Review. Medinformatics, 1(1), 2–9.