Prof. Behar is heading the Artificial Intelligence in Medicine Laboratory (AIMLab.) at the Technion Faculty of Biomedical Engineering. Dr. Behar’s work involves research of medical artificial intelligence to benefit patient care and includes development of machine learning algorithms for analyzing large medical unstructured, i.e., physiological time series and medical images and datasets, with an emphasis on early diagnosis in the medical disciplines of cardiology, sleep medicine and ophthalmology. The lab has already conducted large-scale experiments on extensive databases, encompassing millions of participants and thousands of hours of continuous physiological recordings. Dr. Behar made significant contributions to the discovery of diagnostic biomarkers in cardiology and sleep medicine. In 2022, he initiated the Technion-Rambam Initiative in Medical AI (TERA), a collaborative effort between the Technion and Rambam Health Care Campus, utilizing large medical datasets and state-of-the-art AI advances to combat human diseases. Dr. Behar is the founder of SleepAI an medical AI spin-out company of his laboratory which is incorporated at eHealth Venture (eHV).

Course: Deep learning for continuous physiological time series analysis

July, 2nd, 11:00 to 12:30

Dr. Celi is the principal investigator behind the Medical Information Mart for Intensive Care (MIMIC) and its offsprings, MIMIC-CXR, MIMIC-ED, MIMIC-ECHO, and MIMIC-ECG. With close to 100k users worldwide, an open codebase, and close to 10k publications in Google Scholar, the datasets have undoubtedly shaped the course of machine learning in healthcare in the United States and beyond. His group has written 3 open-access textbooks: “Secondary Analysis of Electronic Health Records” in 2016, “Global Health Informatics: Principles of eHealth and mHealth to Improve Quality of Care” in 2017, and “Leveraging Data Science for Global Health” in 2020. The first has been downloaded over 1.7 million times and translated into Mandarin, Spanish, Korean and Portuguese. The group has created two open online courses, “Global Health Informatics » and “Collaborative Data Science for Healthcare”. Finally, in partnership with hospitals, universities and professional societies across the globe, Dr. Celi and his team have organized over 50 datathons in 22 countries, bringing together students, clinicians, researchers, and engineers to leverage data routinely collected in the process of care.

Course: Health AI Systems Thinking for Equity (HASTE) workshop

July, 1st, 11:00 to 12:30