Research
AI - Orthopedics, Research (opens in new tab)
A Wearable Kinematics and Machine learning Approach for Rebalancing Knee Loads (opens in new tab)
PI-Technion, Assist. Prof. Arielle Fischer, PI-Rambam, Dr. Bezalel Peskin, MD, Research Team Assoc. Prof. Kfir Yehuda Levy, Technion, Dr. Nabil Ghrayeb, MD, Rambam
AI - Cardiology, Research (opens in new tab)
Intelligent monitoring for the robust diagnosis of cardiovascular diseases using continuous long term ECG recordings (opens in new tab)
PI-Technion, Assoc. Prof. Joachim A. Behar (Oxon), PhD, PI-Rambam, Prof. Mahmoud Suleiman, MD, Research Team Dr. Ronit Almog, MD, MPH, Rambam
AI - Cardiology, Research (opens in new tab)
Real-Time AI Safety Monitoring for Cardiac Catheterization (opens in new tab)
PI-Technion, Prof. Ron Kimmel, PI-Rambam, Prof. Yair Feld, MD
AI-Surgery, Research (opens in new tab)
AI in Anesthesia: From Simulation to Real-Time Operating Room Analysis (opens in new tab)
PI-Technion, Assist. Prof. Shlomi Laufer, PI-Rambam, Assoc. Prof. Aeyal Raz, MD, Dr. Fadi Mahameed, MD
AI-Surgery, Research (opens in new tab)
AI for Open Surgery: Tool Understanding and Surgical Workflow Analysis (opens in new tab)
PI-Technion, Assist. Prof. Shlomi Laufer, PI-Rambam, Prof. Gil Bolotin, MD, Dr. Tom Friedman, MD
AI - Imaging, Research (opens in new tab)
AI for Early Treatment Response Assessment in Hodgkin Lymphoma (opens in new tab)
PI-Technion, Assoc. Prof. Moti Freiman PI-Rambam, Dr. Anat Ilivitzki, MD
AI - Imaging, Research (opens in new tab)
AI for Quantitative Pancreatic MRI in Diabetes: Robust T2 relaxometry using physics-informed deep learning (opens in new tab)
PI-Technion, Assoc. Prof. Moti Freiman PI-Rambam, Prof. Ram Weiss, MD
AI - Neurology, Research (opens in new tab)
Intracranial Brain Signals Decoding and VR Integration Using AI (opens in new tab)
PI-Technion, Assist. Prof. Stefano Recanatesi, PhD PI-Rambam, Dr. Moshe Hershkovitz, MD
AI - Hemato-Oncology, Research (opens in new tab)
NLP Generated High Complexity Combination Therapy for Pancreatic Cancer (opens in new tab)
PI-Technion, Assoc. Prof. Yosi Shamay, PhD PI-Rambam, Prof. Irit Ben Aharon, MD
AI - Imaging, Research (opens in new tab)
k-SPARK: Ultra-fast AI-powered brain MRI for aging and neurodegenerative disease (opens in new tab)
PI-Israel, Assist. Prof. Efrat Shimron, PhD, Technion,
PI-France, Prof. Philippe Ciuciu, PhD, CEA / NeuroSpinResearch Team Dr. Ayellet Eran, MD, Rambam, Dr. Dafna Link-Sourani, PhD, May-Blum-Dahl Technion Human MRI research center,Dr. Chaithya Giliyar Radharkishna, PhD, CEA / NeuroSpin, France, Prof. Blanche Bapst, MD, Henri Mondor University Hospital, FranceAI - Mental Health, Research (opens in new tab)
Advancing Research and Practice in Suicide Prevention Through Artificial Intelligence (opens in new tab)
PI-Technion, Prof. Roi Reichart, PhD, PI-Rambam, Prof. Eyal Fruchter, MD
AI - Nutritional Support, Research (opens in new tab)
AI-based alert and decision-support system for malnutrition risk and nutritional intake monitoring using nursing documentation of eating (opens in new tab)
PI-Rambam, Dr. Irena Papier, RN, DMS, PI-Technion, Assist. Prof. Dvir Aran, PhD, Research Team Dr. Shay Perek, MD; Dr. Yona Vaisbuch, MD; Gila Hyams, RN, MA; Dr. Haggai Bar-Yoseph, MD, Rambam
AI - Obstetrics, Research (opens in new tab)
Developing advanced tools to track and predict birth weight (opens in new tab)
Prof. Ron Beloosesky, MD, Rambam; Einat Borohovich, MA, Senior Data Scientist at TERA, Rambam
AI - Imaging, Research (opens in new tab)
AI Driven Functional Super-Resolution Ultrasound Imaging Guiding Focused Ultrasound Treatment (opens in new tab)
PI-Technion, Assist. Prof. Avinoam Bar-Zion, Rambam co-PI, Dr. Lior Lev Tov, MD
AI - Cardio - Kidney Failure, Research (opens in new tab)
Causal AI Decision Support for Personalized Diuretic Recommendations in Acute Heart Failure with Acute Kidney Injury (opens in new tab)
PI-Rambam, Asst. Prof. Oren Caspi, MD, PhDPI-Technion, Assoc. Prof. Uri Shalit, currently Tel Aviv University
AI - ICU Predictive Tools, AI - ICU-Decision making tools, Research (opens in new tab)
Developing advanced tools to track and predict deterioration of critically-ill patients in the intensive care unit (surveillance and clinical decision support including treatment) (opens in new tab)
Assoc. Prof. Danny Eytan, MD, PhD, Rambam,Dr. Ronit Almog, MD, MPH, Rambam, Assoc. Prof. Joachim A. Behar, PhD, Technion
AI - ICU Predictive Tools, Research (opens in new tab)
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) (opens in new tab)
Assoc. Prof. Danny Eytan, MD, PhD, Rambam,Prof. Shie Mannor, PhD, Technion, Prof. Uri Shalit, PhD Technion
AI - Cardiology, Research (opens in new tab)
In Vivo and In Vitro Energetics-dependent Biomarkers of Postoperative Atrial Fibrillation Risk in Patients Before, During and After Surgery (opens in new tab)
Technion PI, Prof. Yael Yaniv, Rambam co-PI, Dr. Tom Friedman, MD