Journal article
Roadmap for the evolution of monitoring: developing and evaluating waveform-based variability-derived artificial intelligence-powered predictive clinical decision support software tools
Abstract
BackgroundContinuous waveform monitoring is standard-of-care for patients at risk for or with critically illness. Derived from waveforms, heart rate, respiratory rate and blood pressure variability contain useful diagnostic and prognostic information; and when combined with machine learning, can provide predictive indices relating to severity of illness and/or reduced physiologic reserve. Integration of predictive models into clinical decision …
Authors
Seely AJE; Newman K; Ramchandani R; Herry C; Scales N; Hudek N; Brehaut J; Jones D; Ramsay T; Barnaby D
Journal
Critical Care, Vol. 28, No. 1,
Publisher
Springer Nature
DOI
10.1186/s13054-024-05140-6
ISSN
1364-8535