Artifical Intelligence in Medicine
April 10, 2019
09:30 - 13:15
_Room Nightingale, Hall 2.2
Note: the seminar will be held in German.
The workshop seeks to give its participants an overview of areas in which hospital information systems are deployed in medicine, the relevant standards and general regulatory conditions. The workshop will begin by using examples of applications to illustrate the potential of AI approaches in medicine. In addition to addressing current solutions that have been successfully applied (e.g. in classifying skin lesions), attention will also focus on typical historical failings, in order to identify factors of critical importance in the successful use of AI. In recent years machine learning (ML) processes have been attracting particular attention in medical applications too. The workshop will present the necessity for a division of responsibilities, and the form that it will take, between traditional knowledge processing, which still remains indispensable, and ML. Two of the HL7 standards that are relevant for the deployment of AI will be featured: the Arden Syntax and Clinical Quality Language (CQL). Moreover the workshop will take a look at the viability of other standards from the non-medical field (including the business process model and notation, and the predictive model markup language) for AI applications in medicine. Many AI applications have been designed to support diagnostic and therapeutic decision-making or processes. Implementation of the new Medical Device Regulation 2020 (MDR 2020) throughout the EU leads in this case to a tightening of the general regulatory conditions, and this will also be dealt with in the workshop. We can expect the clinical evaluation of AI-based applications to become a prerequisite for their routine deployment. The workshop provides an overview of the evaluation methods and relevant findings.