The Use of Machine Learning and Explainable Artificial Intelligence in Gut Microbiome Research: A Scoping Review

Gut microbiome research has made tremendous progress, especially with the integration of machine learning and artificial intelligence that can provide new insights from complex microbiome data and its impact on human health. The use of explainable artificial intelligence is becoming critical in medi...

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Bibliographic Details
Published in:IEEE journal of biomedical and health informatics 2026-01, Vol.30 (1), p.717-731
Main Authors: Tourab, Hania, Lopez-Perez, Laura, Arroyo-Gallego, Pena, Georga, Eleni, Rujas, Miguel, Ponziani, Francesca Romana, Torrego-Ellacuria, Macarena, Merino-Barbancho, Beatriz, Dei, Neri Niccolo, Ciuti, Gastone, Fotiadis, Dimitrios, Antonio, Gasbarrini, Cabrera, Maria Fernanda, Arredondo, Maria Teresa, Fico, Giuseppe
Format: Article
Language:English
Subjects:
Analytical models
Artificial Intelligence
Biological system modeling
explainability
explainable artificial intelligence
Gastrointestinal Microbiome - physiology
gut microbiome
Humans
interpretability
Machine Learning
Microorganisms
Precision medicine
Predictive models
Reproducibility of results
Reviews
Sequential analysis
Citations: Items that this one cites
Online Access:Get full text
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