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Description
In the wake of digitalisation and the adoption of artificial intelligence (AI), we are currently witnessing a surge in the use of statistics in medicine. However, the probability factors generated in this process conflict with categorical diagnoses defined by disease entities and specific therapeutic measures. Drawing on the ideas of philosopher and medical theorist Wolfgang Wieland, Maximilian Kassai demonstrates why this development of probabilisation within the medical mindset is by no means new. The work also highlights the limitations of statistical utilisation. It is hoped that this dissertation will help to address the urgent need for a medical-theoretical framework for AI in medicine.



