Ontology highlight
ABSTRACT:
SUBMITTER: Koh DM
PROVIDER: S-EPMC9613681 | biostudies-literature | 2022
REPOSITORIES: biostudies-literature
Koh Dow-Mu DM Papanikolaou Nickolas N Bick Ulrich U Illing Rowland R Kahn Charles E CE Kalpathi-Cramer Jayshree J Matos Celso C Martí-Bonmatí Luis L Miles Anne A Mun Seong Ki SK Napel Sandy S Rockall Andrea A Sala Evis E Strickland Nicola N Prior Fred F
Communications medicine 20221027
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; ...[more]