![]() "In our project, we used a form of machine learning called reinforcement learning," says Clemens Heitzinger. However, the computer can easily take many more parameters than a human into account – and in some cases this can lead to even better decisions. Most of the time, they know very well which parameters they have to take into account in order to provide the best care. Medical staff make their decisions on the basis of well-founded rules. He is also Co-Director of the cross-faculty "Center for Artificial Intelligence and Machine Learning" (CAIML) at TU Wien. Clemens Heitzinger from the Institute for Analysis and Scientific Computing at TU Wien (Vienna). ![]() We wanted to investigate whether these data could be used even better than before," says Prof. The patients are constantly monitored medically. "In an intensive care unit, a lot of different data is collected around the clock. This is not just about simple categorisation but about a temporally changing progression, about the development that a certain patient is likely to go through Clemens Heitzinger The researchers published their findings in PLOS One and the Journal of Clinical Medicine. However, it is now important to also discuss the legal aspects of such methods. ![]() Analyses show that artificial intelligence already surpasses the quality of human decisions. With the help of extensive data from intensive care units of various hospitals, an artificial intelligence was developed that provides suggestions for the treatment of people who require intensive care due to sepsis. However, it is more difficult to train an artificial intelligence to examine the time-varying conditions of patients and to calculate treatment suggestions – this is precisely what has now been achieved at TU Wien in cooperation with the Medical University of Vienna. In diagnostics, successful tests have already been performed: for example, the computer can learn to categorise images with great accuracy according to whether they show pathological changes or not. In the future, artificial intelligence will play an important role in medicine.
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