Software with artificial intelligence-derived algorithms for analysing CT brain scans in people with a suspected acute stroke: a systematic review and cost-effectiveness analysis.

Journal: Health technology assessment (Winchester, England)

PMID: 38512017

Abstract

BACKGROUND: Artificial intelligence-derived software technologies have been developed that are intended to facilitate the review of computed tomography brain scans in patients with suspected stroke.

Authors

Marie Westwood

Kleijnen Systematic Reviews (KSR) Ltd, York, UK.
Bram Ramaekers

Department of Clinical Epidemiology and Medical Technology Assessment, Maastricht University Medical Centre (MUMC), Maastricht, Netherlands.
Sabine Grimm

Kleijnen Systematic Reviews (KSR) Ltd, York, UK.
Nigel Armstrong

Kleijnen Systematic Reviews (KSR) Ltd, York, UK.
Ben Wijnen

Kleijnen Systematic Reviews (KSR) Ltd, York, UK.
Charlotte Ahmadu

Kleijnen Systematic Reviews (KSR) Ltd, York, UK.
Shelley de Kock

Kleijnen Systematic Reviews (KSR) Ltd, York, UK.
Caro Noake

Kleijnen Systematic Reviews (KSR) Ltd, York, UK.
Manuela Joore

Department of Clinical Epidemiology and Medical Technology Assessment, Maastricht University Medical Centre (MUMC), Maastricht, Netherlands.

Keywords

Algorithms Artificial Intelligence Brain Computed Tomography Angiography Cost-Benefit Analysis Cost-Effectiveness Analysis Humans Quality-Adjusted Life Years Software Stroke Technology Assessment, Biomedical Tomography, X-Ray Computed

External Resources

View on PubMed Access via DOI PubMed (38512017)

Software with artificial intelligence-derived algorithms for analysing CT brain scans in people with a suspected acute stroke: a systematic review and cost-effectiveness analysis.

Abstract

Authors

Keywords

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