Home  | News

29.07.2025

Teaser image to AI for Enhanced Eye Diagnostics - with researcher Lucie Huang

AI for Enhanced Eye Diagnostics - With Researcher Lucie Huang

Research Film

Curious how AI is revolutionizing the treatment of eye diseases? Learn more about what AI can do for ophthalmology with Lucie Huang, MCML junior member and PhD student in the research group of Martin Menten, who is developing AI for sharper and faster eye scans. This means earlier diagnoses and better treatments for critical eye conditions like diabetes-related damage.

Discover how AI research is shaping our world and delivering solutions across diverse real-world problems. This video is the start of a series which is part of the project KI Trans, an initiative in collaboration with Junge Tüftler and LMU, focused on equipping teachers with the essential skills to navigate and teach about AI in schools. The project is funded by the Federal Ministry of Research, Technology and Space as part of DATIpilot.

 

The film was produced and edited by Nicole Huminski and Nikolai Huber.

 

#blog #research #menten

Related

Link to How Should Researchers Report Their Use of LLMs?

10.06.2026

How Should Researchers Report Their Use of LLMs?

Is AI making science impossible to replicate? Stefan Feuerriegel and the MCML team introduce the GUIDE-LLM framework in Nature.

Read more
Link to Benjamin Lange: The Real Risk of AI Agents is Manipulation Through Kindness

02.06.2026

Benjamin Lange: The Real Risk of AI Agents Is Manipulation Through Kindness

MCML Junior Research Group Leader Benjamin Lange examines how trust in AI agents can itself become a source of risk.

Read more
Tiny logo
Link to MCML at CVPR 2026

02.06.2026

MCML at CVPR 2026

MCML researchers are represented with 28 papers at CVPR 2026 (26 Main, and 2 Workshops).

Read more
Tiny logo
Link to MCML at ICRA 2026

29.05.2026

MCML at ICRA 2026

MCML researchers are represented with 4 papers at ICRA 2026 (3 Main, and 1 Workshop).

Read more
Link to Zeynep Akata: To Trust AI, We Need to Understand What Goes On Behind the Scenes

28.05.2026

Zeynep Akata: To Trust AI, We Need to Understand What Goes on Behind the Scenes

MCML PI Zeynep Akata explains that to trust AI, we must understand its inner workings, address foundation model bias, and make explainability central.

Read more
Back to Top