AI – ICU Predictive Tools
Developing advanced tools to track and predict deterioration of critically-ill patients in the intensive care unit (surveillance and clinical decision support including treatment)
Assoc. Prof. Danny Eytan, MD, PhD, Rambam,Dr. Ronit Almog, MD, MPH, Rambam, Assoc. Prof. Joachim A. Behar, PhD, Technion
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Fusing mechanistic and data-driven models for decision making in dynamic environments (real-time information on the patient’s cardiovascular status, expected trajectory and underlying disease processes)
Assoc. Prof. Danny Eytan, MD, PhD, Rambam,Prof. Shie Mannor, PhD, Technion, Prof. Uri Shalit, PhD Technion