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Into the Future with Metrology - The Challenges of Medical Technology

Digitalization in the Health Care System

PTB's AI Strategy

AI in medicine

Due to rapidly advancing digital transformation, methods of artificial intelligence are increasingly finding their way into all areas of medicine and are also presenting PTB with new challenges. The complexity of correlations, the progress made in measurement technology, the great benefit for patients and the enormous potential for the economy will rapidly increase AI applications in the health sector.

AI techniques could be the solution to many challenges: For example, imaging procedures generate large volumes of data which are unmanageable for physicians. According to the German Cancer Research Center (Deutsches Krebsforschungszentrum, DKFZ) in Heidelberg, a total of 675 exabytes of image information were generated by radiologists in 2019, which corresponds to about 13.5 trillion tomographic images – but only about 7 % of the data has been used in medicine. At the same time, the number of registered practice-based radiologists decreased by 2.2 % in Germany from 2018 to 2019, whereas the total number of practice-based physicians increased. This is where AI can be of help in the future: Tasks for which physicians would require years of experience can be processed by artificial intelligence within a few seconds. However, there is to date no generally recognized anchor of trust in quality infrastructure.

PTB has the legal mandate to ensure the uniformity of metrology in medical science and therefore sees the need to deal intensively with and clearly focus on the subject of AI in medicine. The guidelines for this have been laid down in the strategy paper "Metrology for AI in Medicine”.

Download pdf on PTB's strategy on Initiates file download“Metrology for AI in Medicine”


Hans Rabus, Senior Scientist 8.02 "Artificial Intelligence and Simulation in Medicine", phone: +49 30 3481-7054, email: Opens local program for sending emailhans.rabus(at)ptb.de