Human-AI collaboration

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The integration of AI, particularly large language models, into healthcare is transforming the way clinicians approach diagnosis and decision-making. Our studies investigate the impact of AI-assisted coaching compared to traditional human coaching among medical students using patient vignettes. We aim to understand how interacting with AI systems influences diagnostic accuracy, learning processes, and clinical reasoning. By evaluating the benefits and limitations of human-AI collaboration, our research provides insights into optimizing the use of technology to support medical professionals and improve patient outcomes.

Scientific writings

  • Kämmer, J. E., Hautz, W. E., Krummrey, G., Sauter, T. C., Penders, D., Birrenbach, T., & Bienefeld, N. (2024). Effects of interacting with a large language model compared with a human coach on the clinical diagnostic process and outcomes among fourth-year medical students: Study protocol for a prospective, randomised experiment using patient vignettes. BMJ Open, 14, e087469. https://doi.org/10.1136/bmjopen-2024-087469