An Artificial Intelligence Algorithm Integrated into the Clinical Workflow Can Ensure High Quality Acute Intracranial Hemorrhage CT Diagnostic.

Journal: Clinical neuroradiology

PMID: 39325081

Abstract

PURPOSE: Intracranial hemorrhage (ICH) is a life-threatening condition requiring rapid diagnostic and therapeutic action. This study evaluates whether Artificial intelligence (AI) can provide high-quality ICH diagnostics and turnaround times suitable for routine radiological practice.

Authors

K Villringer

Center for Stroke Research Berlin, Universitätsmedizin Berlin, Berlin, Germany. kersten.villringer@charite.de.
R Sokiranski

Medizinische Versorgungszentren DRZ GmbH, Heidelberg, Germany.
R Opfer

jung diagnostics GmbH, Hamburg, Germany.
L Spies

jung diagnostics GmbH, Hamburg, Germany.
M Hamann

Klinik für Urologie und Kinderurologie, Universitätsklinikum Schleswig-Holstein - Campus Kiel, Arnold-Heller-Straße 3, 24105, Kiel, Deutschland.
A Bormann

Klinik für Radiologie, Interventionsradiologie und Neuroradiologie, Klinikum Altenburger Land GmbH, Altenburg, Germany.
M Brehmer

radprax MVZ Nordrhein GmbH, Wuppertal, Germany.
I Galinovic

Center for Stroke Research Berlin, Universitätsmedizin Berlin, Berlin, Germany.
J B Fiebach

Center for Stroke Research Berlin, Universitätsmedizin Berlin, Berlin, Germany.

Keywords

Acute Disease Aged Algorithms Artificial Intelligence Female Germany Humans Intracranial Hemorrhages Male Middle Aged Neural Networks, Computer Pilot Projects Sensitivity and Specificity Tomography, X-Ray Computed Workflow

External Resources

View on PubMed Access via DOI PubMed (39325081)

An Artificial Intelligence Algorithm Integrated into the Clinical Workflow Can Ensure High Quality Acute Intracranial Hemorrhage CT Diagnostic.

Abstract

Authors

Keywords

External Resources

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