AI-enabled medical devices promise improved medical care and support for health care professionals. However, the safety and performance of such systems not only depends on algorithms or technical specifications. It is equally important how people use these devices and applications. In a recent publication in the journal NEJM AI, a research team led by Prof. Stephen Gilbert from Else Kröner Fresenius Center (EKFZ) for Digital Health at TUD Dresden University of Technology systematically analyzes risks that can arise in human-AI interactions and makes recommendations for manufacturers and regulatory evaluators.
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