An Overview of Explainable AI Studies in the Prediction of Sepsis Onset and Sepsis Mortality. - Andria Nicolaou; Waqar A. Sulaiman; Zinonas C. Antoniou; Lakis Palazis; Anna Vavlitou; Constantinos S. Pattichis; Andreas S. Panayides (MIE, 2024)

Leveraging machine learning and rule extraction for enhanced transparency in emergency department length of stay prediction. - Waqar A. Sulaiman; Charithea Stylianides; Andria Nikolaou; Zinonas C. Antoniou; Ioannis Constantinou; Lakis Palazis; Anna Vavlitou; Theodoros Kyprianou; Efthyvoulos Kyriacou; Antonis C. Kakas; Marios S. Pattichis; Andreas S. Panayides; et al. (Frontiers Digit. Health, 2024)

Interpretable Machine Learning for Early Detection of Critical Outcomes in the Emergency Department. - Waqar A. Sulaiman; Andreas Panayides; Eirini C. Schiza; Efthyvoulos Kyriacou; Antonis C. Kakas; Constantinos S. Pattichis (CBMS, 2025)

AI Advances in ICU with an Emphasis on Sepsis Prediction: An Overview. - Charithea Stylianides; Andria Nicolaou; Waqar A. Sulaiman; Christina-Athanasia I. Alexandropoulou; Ilias E. Panagiotopoulos; Konstantina Karathanasopoulou; George Dimitrakopoulos 001; Styliani Kleanthous; Eleni Politi; Dimitris Ntalaperas; Xanthi S. Papageorgiou; Fransisco Garcia; et al. (Mach. Learn. Knowl. Extr., 2025)