An increasing array of tools is being developed using artificial intelligence (AI) and machine learning (ML) for cancer imaging. The development of an optimal tool requires multidisciplinary engagement to ensure that the appropriate use case is met, as well as to undertake robust development and testing prior to its adoption into healthcare systems. This multidisciplinary review highlights key developments in the field. We discuss the challenges and opportunities of AI and ML in cancer imaging; considerations for the development of algorithms into tools that can be widely used and disseminated; and the development of the ecosystem needed to promote growth of AI and ML in cancer imaging.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9613681PMC
http://dx.doi.org/10.1038/s43856-022-00199-0DOI Listing

Publication Analysis

Top Keywords

cancer imaging
16
artificial intelligence
8
intelligence machine
8
machine learning
8
learning cancer
8
cancer
4
imaging
4
imaging increasing
4
increasing array
4
array tools
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!