French
Arabic
Antoine SAAB
Faculté des sciences infirmières – Chargé de cours
+961 (1) 421 000 antoine.saab3@usj.edu.lb
Ingénieur biomédical et docteur en informatique médicale, mes 15 années dexpérience dans lamélioration de la qualité et de la performance des soins de santé m'ont amené à explorer le potentiel de l'informatique médicale et de l'intelligence artificielle pour améliorer la prise en charge des patients. Mes domaines de recherche sont la conception de systèmes d'aide à la décision clinique et l'utilisation de l'apprentissage automatique et des systèmes experts pour la détection et la classification des événements indésirables cliniques.
Education
| Diplôme | Université | Pays | Année |
|---|---|---|---|
| PhD in Biomedical Informatics | Université Paris-Nord (Paris XIII) | France | 2022 |
| Masters in Industrial Engineering | Ecole Centrale Paris (Ecole centrale des arts et manufactures) | France | 2008 |
| Bachelor in Biomedical Engineering | Saint Joseph University of Beyrouth | Lebanon | 2007 |
Teaching at USJ
University teaching outside USJ
| University teaching outside USJ | Pays | Institution | Start date | End date |
|---|---|---|---|---|
| Postgraduate Diploma in Health Informatics | Lebanon | University of Balamand | 15/02/2024 |
Professional experience outside USJ
| Professional experience | Organisation | Start date | End date |
|---|---|---|---|
| Quality and Development Manager | Lebanese Hospital Geitaoui- UMC | 01/11/2013 | |
| Consultant in Strategy and Organization of Healthcare Institutions | General Electric Healthcare | 01/09/2008 | 30/09/2012 |
Areas of expertise
Research themes
Intelligence ArtificielleInformatique appliquée à la santéMachine LearningAide à la Décision Clinique
Publications and communications
•Abi Khalil C, Saab A, Rahme J, Abla J, Seroussi B. Evaluation of Machine Learning Algorithms for Pressure Injury Risk Assessment in a Hospital with Limited IT Resources. Stud Health Technol Inform., Proceedings of MIE 2024, August 2024• El Morr C, Ozdemir D, Asdaah Y, Saab A, El-Lahib Y, Sokhn ES. AI-based epidemic pandemic early warning systems: A systematic scoping review. Health Informatics J. 202430(3):14604582241275844. doi:10.1177/14604582241275844•Khachab Y, Saab A, El Morr C, El-Lahib Y, Salem Sokhn E. Identifying the Panorama of Potential Pandemic Pathogens Their Key Characteristics: A Systematic Scoping Review, Critical Reviews in Microbiology, June 2024•J. -B. Lamy, M. Jammal, M. Saikali, C. Mourad, C. A. Khalil and A. Saab, Fisheye Visualization and Multi-Path Trees for Presenting Clinical Practice Guidelines: Methods and Application to Covid-19, 2023 27th International Conference Information Visualisation (IV), Tampere, Finland, 2023, pp. 37-42, doi: 10.1109/IV60283.2023.00017. •Saikali M, Békarian G, Khabouth J, Mourad C, Saab A. Automated Detection of Patient Harm: Implementation and Prospective Evaluation of a Real-Time Broad-Spectrum Surveillance Application in a Hospital With Limited Resources. J Patient Saf. 2022 Dec 19. doi: 10.1097/PTS.0000000000001096. Epub ahead of print. PMID: 36622740.•Abi Khalil C, Saab A, Rahme J, Seroussi B. Developing a Comprehensive Search Strategy for the Systematic Review of Clinical Decision Support Systems for Nursing Practice. Stud Health Technol Inform. 2023 May 18302:591-595. doi: 10.3233/SHTI230211. PMID: 37203754.•Saikali M, Halut M, Saab A, Berg BV, Michoux N, Mourad C. The Use of Medical Imaging Request Forms as Trigger Tools to Detect Intra-Hospital Adverse Events: A Pilot Study. J Belg Soc Radiol. 2022 Nov 10;106(1):106. doi: 10.5334/jbsr.2897. PMID: 36415214; PMCID: PMC9650978.•Saab A, Abi Khalil C, Jammal M, Saikali M, Lamy JB. Early Prediction of All-Cause Clinical Deterioration in General Wards Patients: Development and Validation of a Biomarker-Based Machine Learning Model Derived From Rapid Response Team Activations. J Patient Saf. 2022 Sep 1;18(6):578-586. doi: 10.1097/PTS.0000000000001069. PMID: 35985042.•Saikali M, Bekarian G, Khabbout J, Mourad C, Saab A. Automated detection of patient harm: implementation and prospective evaluation of a real-time broad-spectrum surveillance application in a hospital with limited resources, J Patient Saf., October 2022•Saab A, Saikali M, Lamy JB. Comparison of Machine Learning Algorithms for Classifying Adverse-Event Related 30-Day Hospital Readmissions: Potential Implications for Patient Safety. Stud Health Technol Inform. 2020 Jun 26;272:51-54. doi: 10.3233/SHTI200491. PMID: 32604598.•Saikali M, Tanios A, Saab A. Evaluation of a broad-spectrum partially automated adverse event surveillance system: a potential tool for patient safety improvement in hospitals with limited resources, Journal of Patient Safety 2017, PMID: 29166298, DOI: 10.1097/PTS.0000000000000442