Artificial intelligence for clinical decision support in neurology
Mangor Pedersen, Karin Verspoor, Mark Jenkinson, Meng Law, David F Abbott, Graeme D Jackson
BRAIN COMMUNICATIONS | OXFORD UNIV PRESS | Published : 2020
Artificial intelligence is one of the most exciting methodological shifts in our era. It holds the potential to transform healthcare as we know it, to a system where humans and machines work together to provide better treatment for our patients. It is now clear that cutting edge artificial intelligence models in conjunction with high-quality clinical data will lead to improved prognostic and diagnostic models in neurological disease, facilitating expert-level clinical decision tools across healthcare settings. Despite the clinical promise of artificial intelligence, machine and deep-learning algorithms are not a one-size-fits-all solution for all types of clinical data and questions. In this..View full abstract
Awarded by Australian Government Medical Research Future Fund Frontier Health and Medical Research Program Stage One grant
Awarded by Wellcome Trust
This work was supported by an Australian Government Medical Research Future Fund Frontier Health and Medical Research Program Stage One grant (MRFF75908). D.F.A. acknowledges fellowship funding from the Australian National Imaging Facility. M.J. is supported by the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC), and this research was funded by the Wellcome Trust (215573/Z/19/Z). The Wellcome Centre for Integrative Neuroimaging is supported by core funding from the Wellcome Trust (203139/Z/16/Z).