Multimodal data for predictive medicine: algorithmic fusion of clinical data in anesthesiology and intensive care

Anesthesiology and intensive care medicine are among the most data-rich fields of medicine, where accurate and timely outcome prediction or risk stratification is important. During patient care, heterogeneous data streams, including structured electronic health records, free-text documentation, and...

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Bibliografische Detailangaben

Hauptverfasser:	Sebastian Daniel Boie, Niklas Giesa, Maria Sekutowicz, Rustam Zhumagambetov, Stefan Haufe, Elias Grünewald, Felix Balzer
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Frontiers Media S.A. 2026-01-01
Schriftenreihe:	Frontiers in Medicine
Schlagworte:	anesthesiology and intensive care artificial intelligence data science & machine learning machine learning (ML) multimodal data fusion
Online-Zugang:	https://www.frontiersin.org/articles/10.3389/fmed.2026.1746867/full
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