Order Article Reprints

Agard G, Roman C, Guervilly C, Forel J-M, Orléans V, Barrau D, Auquier P, Ouladsine M, Boyer L, Hraiech S. An Innovative Deep Learning Approach for Ventilator-Associated Pneumonia (VAP) Prediction in Intensive Care Units—Pneumonia Risk Evaluation and Diagnostic Intelligence via Computational Technology (PREDICT). Journal of Clinical Medicine. 2025; 14(10):3380. https://doi.org/10.3390/jcm14103380

Agard, Geoffray, Christophe Roman, Christophe Guervilly, Jean-Marie Forel, Véronica Orléans, Damien Barrau, Pascal Auquier, Mustapha Ouladsine, Laurent Boyer, and Sami Hraiech. 2025. "An Innovative Deep Learning Approach for Ventilator-Associated Pneumonia (VAP) Prediction in Intensive Care Units—Pneumonia Risk Evaluation and Diagnostic Intelligence via Computational Technology (PREDICT)" Journal of Clinical Medicine 14, no. 10: 3380. https://doi.org/10.3390/jcm14103380

Agard, G., Roman, C., Guervilly, C., Forel, J.-M., Orléans, V., Barrau, D., Auquier, P., Ouladsine, M., Boyer, L., & Hraiech, S. (2025). An Innovative Deep Learning Approach for Ventilator-Associated Pneumonia (VAP) Prediction in Intensive Care Units—Pneumonia Risk Evaluation and Diagnostic Intelligence via Computational Technology (PREDICT). Journal of Clinical Medicine, 14(10), 3380. https://doi.org/10.3390/jcm14103380