Paper Info
Title
Artificial intelligence in clinical research of cancers
Abstract
Several factors, including advances in computational algorithms, the availability of high-performance computing hardware, and the assembly of large community-based databases, have led to the extensive application of Artificial Intelligence (AI) in the biomedical domain for nearly 20 years. AI algorithms have attained expert-level performance in cancer research. However, only a few AI-based applications have been approved for use in the real world. Whether AI will eventually be capable of replacing medical experts has been a hot topic. In this article, we first summarize the cancer research status using AI in the past two decades, including the consensus on the procedure of AI based on an ideal paradigm and current efforts of the expertise and domain knowledge. Next, the available data of AI process in the biomedical domain are surveyed. Then, we review the methods and applications of AI in cancer clinical research categorized by the data types including radiographic imaging, cancer genome, medical records, drug information and biomedical literatures. At last, we discuss challenges in moving AI from theoretical research to real-world cancer research applications and the perspectives toward the future realization of AI participating cancer treatment.
Year
DOI
Venue
2022
10.1093/bib/bbab523
BRIEFINGS IN BIOINFORMATICS
Keywords
DocType
Volume
drug discovery, clinical research of cancers, deep learning, artificial intelligence
Journal
23
Issue
ISSN
Citations 
1
1467-5463
0
PageRank 
References 
Authors
0.34
0
10
Name
Order
Citations
PageRank
Dan Shao111.37
Yinfei Dai200.34
Nianfeng Li300.34
Xuqing Cao400.34
Wei Zhao500.34
Li Cheng600.34
Zhuqing Rong700.34
Huang Lan81013.31
Yan Wang900.34
Jing Zhao1001.01