Fourth webinar of the European ODIN project: “Enhancing healthcare processes with deep learning”

After the Christmas break, the ODIN Hospitals of the future 360° webinars series on Rehabilitation and Care Robots is back. This fourth webinar led by our innovation team in collaboration with FORTH will be about Enhancing Healthcare Processes with Deep Learning. The session will take place on 27 January 2022 from 13:00 to 14:00. (CET).
 
📝Just follow this link to register and receive further instructions.
 
The session in a nutshell: Enhancing Healthcare processes with deep learning
 
How will doctors will take advantage of the digital transformation in the future? AI and deep learning will become an integral part of any healthcare professional’s digital skills, integrating them into diagnostic, prognostic, and treatment workflows in the hospitals.
 
The Panelist
 
We are pleased to announce the participation of the following panelists, who will discuss the state of the art on AI in Hospitals, Trends and Future in AI in Hospitals, and How Big Data is generated in Hospitals.
 
👤Dimitrios I. Fotiadis is part of ODIN and moderating the session. He is currently a Professor of Biomedical Engineering in the Department of Materials Science and Engineering, University of Ioannina, Ioannina, Greece, where he is also the Director of the Unit of Medical Technology and Intelligent Information Systems, and is also an Affiliated Member of the Foundation for Research and Technology Hellas, Institute of Molecular Biology and Biotechnology, Department of Biomedical Research.
 
👤Anca Bucur carries out research in the healthcare area at the Philips Research Laboratories, in Eindhoven, the Netherlands, where she currently is a senior scientist in the Healthcare Systems Architecture group. She has worked in both Philips-internal and collaborative (national and international) research projects in the areas of brain imaging, clinical information systems and PACS, and computational genomics. Her main research interests focus on clinical information systems and PACS, clinical decision support systems, computational genomics, parallel and distributed computing, and high performance computing with applications in the healthcare domain.
 
👤Constantinos S. Pattichis is Professor with the Dep. of Computer Science and Director of the Biomedical Engineering Research Centre at the University of Cyprus and Leader of HealthXR Smart, Ubiquitous, and Participatory Technologies for Healthcare Innovation in the CYENS Centre of Excellence. He has 30 years of experience in eHealth and connected health, medical imaging, biosignal analysis, intelligent systems, and explainable AI, and more recently in mHealth interventions based on X Reality applications.
 
👤Dr. May Dongmei Wang is Wallace H. Coulter Distinguished Faculty Fellow and Prof. of BME&ECE at Georgia Institute of Technology & Emory U. As a Kavli Fellow, FAIMBE, FIAMBE, FIEEE, BoD of ABAIM, she contributes to Biomed Big Data & AI for pHealth with 270+ refereed articles (13,000+citations) & 240+ keynote/invited talks, sponsored by NIH, NSF, CDC, GRA, GCC, SHC, CHOA, Enduring Heart, Coulter, UCB, Microsoft, HP & Amazon. She serves NIH-CDMA, NSF-SCH, & Brain Canada panels, & is IEEE EMBS BHI-TC Chair, JBHI-SE, TBME-AE, RMBE-AE, and FDC