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Artificial intelligence and machine learning in cancer imaging.

In Communications medicine

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.

Koh Dow-Mu, Papanikolaou Nickolas, Bick Ulrich, Illing Rowland, Kahn Charles E, Kalpathi-Cramer Jayshree, Matos Celso, Martí-Bonmatí Luis, Miles Anne, Mun Seong Ki, Napel Sandy, Rockall Andrea, Sala Evis, Strickland Nicola, Prior Fred

2022

Biomarkers, Cancer imaging