Machine Learning in Action: Stroke Diagnosis and Outcome Prediction.

ABSTRACT: The application of machine learning has rapidly evolved in medicine over the past decade. In stroke, commercially available machine learning algorithms have already been incorporated into clinical application for rapid diagnosis. The creation and advancement of deep learning techniques have greatly improved clinical utilization of machine learning tools and new algorithms continue to emerge with improved accuracy in stroke diagnosis and outcome prediction. Although imaging-based feature recognition and segmentation have significantly facilitated rapid stroke diagnosis and triaging, stroke prognostication is dependent on a multitude of patient specific as well as clinical factors and hence accurate outcome prediction remains challenging. Despite its vital role in stroke diagnosis and progno

SUBMITTER: Mainali S 

PROVIDER: S-EPMC8685212 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature