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DTSTART;TZID=Australia/Sydney:20220531T190000
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SUMMARY:Artificial Intelligence (AI) for Remote Patient Monitoring
DESCRIPTION:Special Free Webinar \nTuesday 31.5.2022- 7PM Sydney/Melbourne \n Artificial Intelligence for Remote Patient Monitoring \nConnecting the dots between Australia and Israel \nFollowing a recent collaboration agreement signed between Technion and the Ingham Institute\, come and learn how we can leverage AI to monitor and asses a patient from afar. \n  \nDr. Behar is heading the Artificial Intelligence in Medicine Laboratory (AIMLab.) at the Technion faculty of Biomedical Engineering\, Haifa\, Israel. The lab focuses on the usage of machine learning in medicine within the context of physiological time series analysis with a specific focus in cardiology\, sleep medicine and ophthalmology. Dr. Behar is also the founding director of the Technion-Rambam Center for Artificial Intelligence in Healthcare (CAIH). Dr. Behar is twice winner of the MIT-PhysioNet/Computing in Cardiology competition. He has authored and co-authored over 47 journal papers in leading engineering\, physiology and medical journals (h-index: 27) and contributed many open access databases of physiological waveform and open source code (e.g. PhysioZoo\, fecgsyn). He is the cofounder of SmartCare Analytics. He serves as editor for the journal Physiological Measurement and has been on the program committee of the Computing in Cardiology international conference since 2013. Joachim holds a PhD in biosignals processing and machine learning from the university of Oxford which was completed under the supervision of Prof. Gari D. Clifford and Dr. Julien Oster. He holds a MEng from l’Ecole Nationale Superieure des Mines de Saint-Etienne in France in Engineering. He completed his postdoctoral study in computational physiology under the guidance of Prof. Yael Yaniv at the Technion where he worked on mathematical modelling of sinoatrial node cells.
URL:https://austechnion.com/event/artificial-intelligence-ai-for-remote-patient-monitoring/
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