Precision medicine in stroke: towards personalized outcome predictions using artificial intelligence.

ABSTRACT: Stroke ranks among the leading causes for morbidity and mortality worldwide. New and continuously improving treatment options such as thrombolysis and thrombectomy have revolutionized acute stroke treatment in recent years. Following modern rhythms, the next revolution might well be the strategic use of the steadily increasing amounts of patient-related data for generating models enabling individualized outcome predictions. Milestones have already been achieved in several health care domains, as big data and artificial intelligence have entered everyday life. The aim of this review is to synoptically illustrate and discuss how artificial intelligence approaches may help to compute single-patient predictions in stroke outcome research in the acute, subacute and chronic stage. We will presen

SUBMITTER: Bonkhoff AK 

PROVIDER: S-EPMC9014757 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature