Friday 24 January 2020
Petite Halle
eLaw Center for Law and Digital Tehcnologies, Leiden University

Panel Description

The integration of artificial intelligence (AI) technologies in healthcare promises safer, more efficient, and more personalized care. Typical applications of such systems include personalized diagnosis, early disease detection, hospitalization risk prediction, and pattern discovery. These technologies process vast amounts of data, can learn from experience and self-improve their performance, which challenges the applicability of existing medical device regulations that were not designed for progressive and adaptive AI. The automated processing of data that will evaluate, analyze, and predict health-related outcomes may also affect not only data protection regulations but also the safety of the individual. In this respect, this panel explores the suitability of the existing legal framework for the increasing development and use of AI in healthcare. The panelists will give concrete examples of AI applications, identify specific problems, and will discuss with the audience potential solutions.

  • How is Artificial Intelligence/Machine Learning (AI/ML)-based Software as a Medical Device regulated?
  • What are the policy implications for the use and development of AI in healthcare settings?
  • What data protection considerations for patients, healthcare practitioners, and developers need to be addressed?
  • Might these systems have broader impacts and long-term consequences which are currently unforeseen?

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