Felix G. Rebitschek

University of Applied Sciences Potsdam, University of Potsdam

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About

Felix G. Rebitschek is a leading researcher at the intersection of artificial intelligence, healthcare decision-making, and human factors. His work critically examines how algorithmic systems and assistive technologies can be safely and effectively integrated into medical and caregiving contexts. Rebitschek’s major contributions include a landmark 2024 systematic review on the benefits and harms of AI-related algorithmic decision-making systems in healthcare, which has already garnered 30 citations for its rigorous assessment of patient-relevant outcomes. This work highlights the pressing gap between AI’s technical accuracy and its real-world impact on patient welfare. Additionally, his 2020 study on the acceptance of assistive robots in nursing and healthcare settings (23 citations) provides foundational insights into the social and psychological barriers to adopting robotic aids in care. By combining systematic evidence synthesis with user-centered research, Rebitschek helps bridge the divide between technological promise and practical, ethical implementation. His research is essential for students and professionals navigating the complex landscape of AI in medicine, emphasizing the need for transparency, safety, and human oversight in algorithmic decision-making.