Don't Thwart Innovation!
Data must be more readily available
“We need measures to make capital and data more readily available,” said Professor Björn Eskofier, head of the Machine Learning and Data Analytics Lab at Friedrich-Alexander University Erlangen-Nuremberg.
“We have a lot of catching up to do”
“We have a lot of catching up to do," said Tino Sorge, a member of the Health Committee of the German Bundestag.
Making the case for personal health managers
Professor Erich Reinhardt, President of the Board of Medical Valley European Metropolitan Region Nuremberg, suggested “test tracks” for digital health – similar to test tracks for autonomous driving.
Black box algorithms: Can an AI application be liable?
Thomas Friese, PhD, General Manager Data Architecture & Technology Platforms at Siemens Healthineers, described the concept of “explainable AI.”
Professor Christian Dierks of Dierks+Company suggested to give AI its own legal status to make it both liable and insurable.
- The statements by Siemens Healthineers customers described herein are based on results that were achieved in the customer’s unique setting. Since there is no “typical” hospital and many variables exist (e.g., hospital size, case mix, level of IT adoption) there can be no guarantee that other customers will achieve the same results.