Home  | News

13.01.2025

Teaser image to Fabian Theis Discusses AI’s Impact on Healthcare

Fabian Theis Discusses AI’s Impact on Healthcare

“Science Date” With Fabian Theis

In the Science Date segment on NANO (3sat), our PI Fabian Theis discusses key questions on AI and its role in healthcare: Can we recreate the human brain? Will AI make humans obsolete? And how is AI transforming medical research? He suggests that AI can make healthcare more accessible, affordable, and democratic, though these profound changes raise complex ethical and scientific considerations.

«With AI, we can imagine a future where disease diagnosis and treatment become more affordable, accessible, and thereby more democratic.»


Fabian Theis

MCML PI

#media #theis
Subscribe to RSS News feed

Related

Link to MCML PI Frauke Kreuter Featured on ARD alpha on AI

19.01.2026

MCML PI Frauke Kreuter Featured on ARD Alpha on AI

MCML PI Frauke Kreuter featured on ARD alpha discussing AI in daily life, workplace applications, and responsible, future-ready use.

Link to MCML PIs Featured in Süddeutsche Zeitung

12.01.2026

MCML PIs Featured in Süddeutsche Zeitung

MCML PIs Xiaoxiang Zhu and Felix Dietrich featured in Süddeutsche Zeitung for TU Munich’s 2025 breakthroughs in AI and data science.

Link to Fabian Theis Featured in Handelsblatt on the Future of AI in Precision Medicine

16.12.2025

Fabian Theis Featured in Handelsblatt on the Future of AI in Precision Medicine

MCML PI Fabian Theis discusses AI-driven precision medicine and its growing impact on individualized healthcare and biomedical research.

Link to Gitta Kutyniok Featured in VDI Nachrichten on AI Ethics

16.12.2025

Gitta Kutyniok Featured in VDI Nachrichten on AI Ethics

Gitta Kutyniok discusses measurable criteria for ethical AI, promoting safe and responsible autonomous decision-making.

Link to Hinrich Schütze Featured in WirtschaftsWoche on Innovative AI Approaches

16.12.2025

Hinrich Schütze Featured in WirtschaftsWoche on Innovative AI Approaches

Hinrich Schütze discusses Giotto.ai’s efficient AI models, highlighting memory separation and context-aware decoding to improve robustness.

Back to Top