New Publication on Multimodal Machine Learning for ICU Admission Prediction

We are pleased to share that our study, “Explainable Multimodal Machine Learning Model for Predicting ICU Admission at Hospital Arrival,” has been published in the well-recognized IEEE Access.

This work introduces an explainable multimodal machine learning framework that integrates chest X-ray images and clinical data to predict ICU admission risk at hospital arrival. By combining strong predictive performance, clinical reliability, and interpretability, the study moves beyond “accurate models” toward clinically usable and reliable AI systems.

📄 Paper: Explainable Multimodal Machine Learning Model for Predicting ICU Admission at Hospital Arrival | IEEE Journals & Magazine | IEEE Xplore

💻 GitHub: https://github.com/Akaqox/XAI-MML-ICU