Making optimal use of existing data
"In an intensive care unit, a lot of different data is collected around the clock. The patients are constantly monitored medically. We wanted to investigate whether these data could be used even better than before," says Prof. Clemens Heitzinger from the Institute for Analysis and Scientific Computing at TU Wien (Vienna). He is also Co-Director of the cross-faculty "Center for Artificial Intelligence and Machine Learning" (CAIML) at TU Wien.
Medical staff make their decisions on the basis of well-founded rules. Most of the time, they know very well which parameters they have to take into account in order to provide the best care. 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. (…)
Discussion about legal issues is necessary
"However, this raises important questions, especially legal ones," says Clemens Heitzinger. "One probably thinks of the question who will be held liable for any mistakes made by the artificial intelligence first. But there is also the converse problem: what if the artificial intelligence had made the right decision, but the human chose a different treatment option and the patient suffered harm as a result?" Does the doctor then face the accusation that it would have been better to trust the artificial intelligence because it comes with a huge wealth of experience? Or should it be the human's right to ignore the computer's advice at all times?
"The research project shows: artificial intelligence can already be used successfully in clinical practice with today's technology -- but a discussion about the social framework and clear legal rules are still urgently needed," Clemens Heitzinger is convinced.
(Adaptado de https://www.sciencedaily.com/releases/2023/05/230511164553.htm, acessado em 16∕07∕2023)
De acordo com o texto, marque a opção que apresenta a principal preocupação quanto ao uso da inteligência artificial na área médica: