APA (7th ed.) Citation

Koozi, H., Engström, J., Friberg, H., Frigyesi, A., Lund University, F. o. M., Lund University, F. o. M., . . . Lund University, F. o. M. (2025). Explainable AI identifies key biomarkers for acute kidney injury prediction in the ICU. Intensive Care Medicine Experimental, 13, 1-12. https://doi.org/10.1186/s40635-025-00816-x

Chicago Style (17th ed.) Citation

Koozi, Hazem, Jonas Engström, Hans Friberg, Attila Frigyesi, Faculty of Medicine Lund University, Faculty of Medicine Lund University, Profile areas and other strong research environments Lund University, Profile areas and other strong research environments Lund University, and Faculty of Medicine Lund University. "Explainable AI Identifies Key Biomarkers for Acute Kidney Injury Prediction in the ICU." Intensive Care Medicine Experimental 13 (2025): 1-12. https://doi.org/10.1186/s40635-025-00816-x.

MLA (9th ed.) Citation

Koozi, Hazem, et al. "Explainable AI Identifies Key Biomarkers for Acute Kidney Injury Prediction in the ICU." Intensive Care Medicine Experimental, vol. 13, 2025, pp. 1-12, https://doi.org/10.1186/s40635-025-00816-x.