Exploring the role of Artificial Intelligence in Acute Kidney Injury management: a comprehensive review and future research agenda

This study reviews the studies utilizing Artificial Intelligence (AI) and AI-driven tools and methods in managing Acute Kidney Injury (AKI). It categorizes the studies according to medical specialties, analyses the gaps in the existing research, and identifies opportunities for future research direc...

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Veröffentlicht in:	BMC medical informatics and decision making Jg. 24; H. 1; S. 337 - 20
Hauptverfasser:	Al-Absi, Dima Tareq, Simsekler, Mecit Can Emre, Omar, Mohammed Atif, Anwar, Siddiq
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London BioMed Central 14.11.2024 BioMed Central Ltd Springer Nature B.V BMC
Schlagworte:	Acute Kidney Injury Acute Kidney Injury - therapy Acute renal failure AKI Algorithms Artificial Intelligence Care and treatment Clinical outcomes Costs Developing countries Disease prevention Electronic health records Health Informatics Healthcare analytics Healthcare operations Heterogeneity Hospitals Humans Information Systems and Communication Service Injury analysis Intensive care units Kidney diseases Kidneys LDCs Machine Learning Management of Computing and Information Systems Medical research Medicine Medicine & Public Health Medicine, Experimental Mortality Nephrology Operations management Patient safety Patients Risk factors Statistical analysis Statistical methods Statistical models Systematic Review United Arab Emirates Acute Kidney Injury Healthcare operations Artificial Intelligence Machine learning Patient safety Healthcare analytics AKI
ISSN:	1472-6947, 1472-6947
Online-Zugang:	Volltext
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