Published in medRxiv, 2026
A preprint on making ICU AI systems generalize across time scales in resource-limited settings.
Recommended citation: Generalizing intensive care AI across time scales in resource-limited settings. medRxiv, 2026.
Download Paper
Published in Springer, 2026
A clinically oriented DDI detection tool for pediatric ICU workflows.
Recommended citation: ContraIndicator: A Natural Language Processing-Based Approach to Potential Drug-Drug Interaction Detection in Pediatric Intensive Care.
Download Paper
Published in SSRN, 2022
ICU-focused machine learning software in the TavLab ecosystem.
Recommended citation: SIgnose. SSRN preprint, 2022.
Download Paper
Published in Frontiers in Physiology, 2022
Machine learning models for early prediction of hypothermia in pediatric ICU patients using SafeICU data.
Recommended citation: Singh, P. et al. (2022). Early prediction of hypothermia in pediatric intensive care units using machine learning.
Download Paper
Published in Frontiers in Physiology, 2022
Thermal imaging and deep learning for non-contact early prediction of hemodynamic shock in pediatric ICU settings.
Recommended citation: Singh, P. et al. (2022). Early Prediction of Hemodynamic Shock in Pediatric Intensive Care Units With Deep Learning on Thermal Videos.
Download Paper