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Milan Petkovic

AI & Data Science Department Head, Philips

Prof. Dr. Milan Petković heads the Data Science department which conducts innovation projects for Philips in the domain of machine learning and big data analytics. He is also a part-time full professor at the Eindhoven University of Technology, at the department of Computer Science, but contributing to the Data Science Center too. His interests are in data science, big data, artificial intelligence and information security and privacy. Next to being the Vice President of the Big Data Value Association, Prof. Petković served in boards of directors of several alliances (such as Trust in Digital Life) and participated in many Advisory Groups (such as EC advisory groups for FP7 and H2020, ENISA, etc). Next to Philips internal projects, Prof. Petković is also active in the EU and Dutch national collaborative projects. He has led several big FP7 and Dutch national projects (e.g. AU2EU collaboration with Australia) and participated in many. He has published many papers as well as several books.

Milan is speaking at

Application Track 2: Health - Main session
Application Track 2 - Health
November 5, 2020
10:00 am - 11:30 am

Speakers

  • Klemens Budde (Chair) Charité Universitatsmedizin Berlin/Plattform Lernende Systeme
  • Milan Petkovic (Chair) AI & Data Science Department Head, Philips
  • Thomas Wiegand (Speaker) Professor / Executive Director, TU Berlin / Fraunhofer Heinrich-Hertz-Institute
  • Ioana-Maria Gligor (Speaker) Head of Unit European Reference Networks and Digital Health, European Commission - DG SANTE
  • Catherine Collin (Speaker) MD, Senior Executive Consultant, University of Copenhagen - EU-STANDS4PM
  • Jan Baumbach (Speaker) Professor and scientific coordinator, Technical University Munich - Feature Cloud
  • Edwin Morley-Fletcher (Speaker) President - Project coordinator, Lynkeus
  • Christos Xenakis (Speaker) Professor - Project coordinator, University of Piraeus - CUREX
  • Maria-Esther Vidal (Speaker) Head of the Scientific Data Management Group and Professor, German National Library of Science and Technology (TIB)
  • Veronika von Messling (Speaker) Director General, Life Sciences Division, Federal Ministry of Education and Research

Description

When innovation learns from the best data available, health outcomes for patients improve. This is why, in the age of artificial intelligence, digitized data has become the key driver for innovation in healthcare. Furthermore, availability of health data across European countries accelerates the scale and scope of innovation. However, while there are huge amounts of data across hospitals, insurances and practices, there is lack of integration. As a result combining and exchanging data from various sources to develop innovative applications is a challenge. Moreover, legal and technical prerequisites for privacy-preserving data sharing are not implemented sufficiently in most European countries.

The focus of EBDVF health track is on European health dataspaces, healthcare applications as well as post-COVID healthcare systems. It will bring together representatives from the most important European health data initiatives to discuss lessons learned from previous projects, joint positions and possible roadmaps for European health data infrastructures and applications.

Additional resources: 

Documents

Summary of the Whitepaper on Secure and safe AI Systems in Medicine Summary of the PLS working group report on "Self-Learning Systems in the Healthcare System" Application scenario on Oncology

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