Key Facts

Date and Time

January 12, 2024
08:45 – 17:30


Dachgeschoss der Juristischen
Fakultät der Universität Wien

Schottenbastei 10-16
1010 Vienna, Austria


0043 1 405 1383 -16 / -19
[email protected]


Artificial Intelligence is on its best way to become an important tool in medicineincluding its application in diagnostic steps, but also in clinical everyday work and thegeneration of scientific data, but also in the development of scientific careers and inpublishing. This implies a series of hierarchical steps which not only relate to each ofthe mentioned topics, but also to ethical issues, legal responsibilities and questions ofscientific originality and accuracy. The presentation of all these aspects will be part ofthe symposium which is – deducting from the close interaction of medical andscientific conduct – closely devoted to legal and ethical issues.
From a legal perspective, the event will provide a complete overview of the relevantEuropean and Austrian legal situation, both from an academic and a practicalperspective. The focus of interest is in particular on the AI Act, the AI LiabilityDirective, the European Health Data Space Act and national requirements ofprofessional law and liability law. The aim is, on the one hand, to provide participantshaving a medical background with an orientation on regulatory opportunities and risksof AI use in treatment and research. On the other hand, participants with a legalbackground should be able to grasp which regulatory requirements can (not) beimplemented in a medically meaningful way and which consequences result from thisfor the legal and ethical AI-related framework of medical professional practice.




Introduction & Welcome

Christoph Zielinski
Nikolaus Forgo
Markus Müller, Rector Medical University of Vienna

Setting the Scene
Christoph Zielinski
Nikolaus Forgo
09:00-09:20 AI in Inpatient and Outpatient Medical Care
Michael Binder
09:20-09:40 Bridging Radiological Diagnosis and Biology
Georg Langs
09:40-10:00 AI in Pathology and Histology
Leonhard Müllauer
10:00-10:20 Machine Learning in Biomedicine
Christoph Bock
10:20-10:30 Discussion
10:30-11:00 Coffee Break
Economical Impact
Christiane Thallinger
Sonja Dürager
11:00-11:20 AI in Public Health
Anita Rieder
11:20-11:40 AI and the Pharma Industry
Johannes Pleiner-Duxneuner
11:40-12:00 AI in Scientific Publiations: Increase in Efficiency or Plagiarism 2.0?
Georg Dorffner
12:00-12:20 AI from the Publishers’ View
Sarah Jenkins, Director, Research Integrity & Publishing Ethics Centre of Expertise Elsevier
12:20-12:30 Discussion
Translation into Industry Lecture
Christoph Zielinski
12:30-12:50 Artificial Intelligence in Healthcare: The Road Ahead
Dorin Comaniciu, Siemens Healthineers AI Technology Center
12:50-13:00 Discussion
13:00-13:30 Lunch Break
Liability & Ethics
Georg Langs
Iris Eisenberger
13:30-13:50 AI in Clinical Decision Making
Harald Kittler
13:50-14:10 AI Governnce and Ethics
Christiane Druml
14:10-14:30 AI and the European Group on Ethics
Jeroen van den Hoven
14:30-14:50 AI and medical liability
Sonja Dürager
14:50-15:00 Discussion
15:00-15:30 Coffee Break
Regulating the Scene
Christoph Zielinski
Nikolaus Forgo
15:30-15:50 AI and the physicians self regulation
Johannes Zahrl
15:50-16:10 Patient information and informed consent into AI-based research and treatment
Karl Stöger
16:10-16:30 AI and Medical Device Legislation
Sebastian Scholz
16:30-16:50 How to regulate AI from an industry perspective
Cornelia Kutterer
16:50-17:10 AI regulation in Europe – an academic overview
Iris Eisenberger
17:10-17:30 Discussion & Closing

*as by September 1, 2023 – subject to change.


Programme Committee

Univ. Professor Dr. Dr.h.c. Christoph Zielinski

Director of the Central European Cancer Center at WienerPrivatklinik and president of the Central European CooperativeOncology Group; previously head of the Vienna Cancer Centerand director of the Clinical Division of Oncology and of theDepartment of Medicine, as well as of the Comprehensive CancerCenter at Medical University Vienna and the General Hospital inVienna, Austria; training in immunology, clinical immunology,medicine and medical oncology at the University of Vienna,Austria, and at Tufts University in Boston, Mass., USA; member ofthe European Society for Medical Oncology,
currently serves asCouncil Member and as Editor in Chief of the society’s scientificpeer review journal “ESMO Open – Cancer Horizons”; publishedover 600 original papers and reviews in peer-reviewed journals,and many books. His h-index is 65 and the citations of scientificpapers authored by him exceed 19,000.

Univ. Professor Dr. Nikolaus Forgó

studied law in Vienna and Paris, was an assistant at the Faculty ofLaw of the University of Vienna and its IT officer from 1990 to2000; in 1998, he founded and still heads the University Coursefor Information and Media Law at the University of Vienna,Professor for Legal Informatics and IT Law at the LeibnizUniversity of Hanover from 2000 to 2017, where he was, amongstothers, Head of the Institute for Legal Informatics, DataProtection Officer and CIO. Since 2017 Professor of Technologyand Intellectual Property Law and Director of the Institute forInnovation and Digitalisation in Law at the University of Vienna,since 2018 member of the Austrian Data Protection Council.Extensive teaching, research, consulting and third-party fundingactivities on all issues of IT law, legal informatics and basic legalprinciples, as well as numerous activities in legal education,especially as host of the podcast Ars Boni.


Registration to this event will open in October 2023.

CME Accreditation

CECOG will be seeking accreditation from the European Accreditation Council of Continuing Medical Education (UEMS EACCME®) in order to provide participants with the possibility of obtaining CME credits for this event.


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Why you should support the AI in Medicine – Vision – Reality – Legal Aspects Meeting:

  • Connect with the participants – representatives of various medical disciplines, legal experts and regulatory bodies
  • Get an update on the newest developments and trends in the field
  • Take the opportunity for exchange with renowned experts about the challenges and opportunities of AI in the field of medicine

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