This book provides an in-depth exploration of how artificial intelligence (AI) is revolutionizing neurological triage and clinical decision-making. It examines the design, validation, and integration of AI-driven workflows into real-world hospital systems, focusing on their capacity to improve diagnostic accuracy, response time, and patient outcomes in acute neurological conditions such as stroke, traumatic brain injury, and epilepsy. Through evidence-based frameworks, the book explains how machine learning algorithms and predictive analytics can prioritize patient risk, optimize imaging interpretation, and support clinician decision pathways. It also discusses ethical and regulatory aspects, validation protocols, interoperability challenges, and clinical impact assessment. Bridging neuroscience, informatics, and systems engineering, this book serves as a guide for neurologists, AI researchers, and healthcare administrators aiming to implement and validate intelligent triage systems for outcome optimization.
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Paperback. Etat : new. Paperback. This book provides an in-depth exploration of how artificial intelligence (AI) is revolutionizing neurological triage and clinical decision-making. It examines the design, validation, and integration of AI-driven workflows into real-world hospital systems, focusing on their capacity to improve diagnostic accuracy, response time, and patient outcomes in acute neurological conditions such as stroke, traumatic brain injury, and epilepsy. Through evidence-based frameworks, the book explains how machine learning algorithms and predictive analytics can prioritize patient risk, optimize imaging interpretation, and support clinician decision pathways. It also discusses ethical and regulatory aspects, validation protocols, interoperability challenges, and clinical impact assessment. Bridging neuroscience, informatics, and systems engineering, this book serves as a guide for neurologists, AI researchers, and healthcare administrators aiming to implement and validate intelligent triage systems for outcome optimization. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9786209243172
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 136 pp. Englisch. N° de réf. du vendeur 9786209243172
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Vendeur : AussieBookSeller, Truganina, VIC, Australie
Paperback. Etat : new. Paperback. This book provides an in-depth exploration of how artificial intelligence (AI) is revolutionizing neurological triage and clinical decision-making. It examines the design, validation, and integration of AI-driven workflows into real-world hospital systems, focusing on their capacity to improve diagnostic accuracy, response time, and patient outcomes in acute neurological conditions such as stroke, traumatic brain injury, and epilepsy. Through evidence-based frameworks, the book explains how machine learning algorithms and predictive analytics can prioritize patient risk, optimize imaging interpretation, and support clinician decision pathways. It also discusses ethical and regulatory aspects, validation protocols, interoperability challenges, and clinical impact assessment. Bridging neuroscience, informatics, and systems engineering, this book serves as a guide for neurologists, AI researchers, and healthcare administrators aiming to implement and validate intelligent triage systems for outcome optimization. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N° de réf. du vendeur 9786209243172
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Paperback. Etat : new. Paperback. This book provides an in-depth exploration of how artificial intelligence (AI) is revolutionizing neurological triage and clinical decision-making. It examines the design, validation, and integration of AI-driven workflows into real-world hospital systems, focusing on their capacity to improve diagnostic accuracy, response time, and patient outcomes in acute neurological conditions such as stroke, traumatic brain injury, and epilepsy. Through evidence-based frameworks, the book explains how machine learning algorithms and predictive analytics can prioritize patient risk, optimize imaging interpretation, and support clinician decision pathways. It also discusses ethical and regulatory aspects, validation protocols, interoperability challenges, and clinical impact assessment. Bridging neuroscience, informatics, and systems engineering, this book serves as a guide for neurologists, AI researchers, and healthcare administrators aiming to implement and validate intelligent triage systems for outcome optimization. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9786209243172
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Vendeur : preigu, Osnabrück, Allemagne
Taschenbuch. Etat : Neu. Clinical Implementation of AI-Driven Neurological Triage | Workflow Integration, Validation Frameworks, and Outcome Optimization | Reza Mosaddeghi Heris (u. a.) | Taschenbuch | Englisch | 2025 | Scholars' Press | EAN 9786209243172 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. N° de réf. du vendeur 134304653
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book provides an in-depth exploration of how artificial intelligence (AI) is revolutionizing neurological triage and clinical decision-making. It examines the design, validation, and integration of AI-driven workflows into real-world hospital systems, focusing on their capacity to improve diagnostic accuracy, response time, and patient outcomes in acute neurological conditions such as stroke, traumatic brain injury, and epilepsy. Through evidence-based frameworks, the book explains how machine learning algorithms and predictive analytics can prioritize patient risk, optimize imaging interpretation, and support clinician decision pathways. It also discusses ethical and regulatory aspects, validation protocols, interoperability challenges, and clinical impact assessment. Bridging neuroscience, informatics, and systems engineering, this book serves as a guide for neurologists, AI researchers, and healthcare administrators aiming to implement and validate intelligent triage systems for outcome optimization.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 136 pp. Englisch. N° de réf. du vendeur 9786209243172
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering. N° de réf. du vendeur 9786209243172
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