Daniel Rückert About the Suitability of Chatbots in Hospitals

TUM Research

This short article focuses on the current work of MCML Director Daniel Rückert and his team, who studied the suitability of AI chatbots in hospitals.

While seeing potential in certain areas, the team concluded that chatbots would currently put patients' lives at risk. To minimize this risk, the scientists developed a method to test the reliability of future chatbots.

Learn more

#research #rueckert

Subscribe to RSS News feed

10.03.2026

Reinhard Heckel Featured in FAZ

MCML PI Reinhard Heckel, featured in FAZ, explains how better data boosts AI performance and reduces bias.

05.03.2026

Foundations of Diffusion: One Map for Images and Text

Unified diffusion theory for images and text, bridging continuous and discrete models in one clear framework for generative AI.

05.03.2026

Matthias Althoff Featured in VentureCapital Magazin

MCML PI Matthias Althoff was featured in VentureCapital Magazin in connection with TUM spin-off Sitegeist.

05.03.2026

MCML at WACV 2026

MCML researchers are represented with 9 papers at WACV 2026.

05.03.2026

Sven Nyholm Featured in Big Think

MCML PI Sven Nyholm reflects on how AI convenience may reduce effort, skill development, and meaningful human achievement.

Daniel Rückert About the Suitability of Chatbots in Hospitals

TUM Research

Related