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Antoine SAAB

Chargé de Cours

كُلِّيّة العُلوم التَّمْرِيضيّة

+961 (1) 421 000 antoine.saab3@usj.edu.lb

A biomedical engineer and doctor of medical informatics, my 15 years of experience in improving the quality and performance of healthcare have led me to explore the potential of medical informatics and artificial intelligence to improve patient care. My research areas are the design of clinical decision-support systems and the use of machine learning and expert systems for the detection and classification of adverse clinical events.

المنشورات والمداخلات

• 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