22.09.2025
©Andreas Heddergott / TUM
Nassir Navab Shows How Avatars Reduce Stress in Autonomous Ultrasound Exams
TUM News
Our PI Nassir Navab led work showing that patients feel significantly less stress when a virtual avatar guides them during autonomous robotic ultrasound procedures. The avatar explains each step, answers questions (even in regional accents), and interacts in a more humanlike way. This approach could be especially useful in places with limited medical staff.
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Daniel Rückert Among the World’s Most Cited Researchers
MCML Director Daniel Rückert is among the world’s most cited researchers for AI in healthcare, part of 17 TUM scientists recognized in 2025.
©MCML
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Research Stay at Stanford University
Kun Yuan spent two months at Stanford with the AI X-Change Program, advancing biomedical vision-language models and launching three joint projects.
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Zigzag Your Way to Faster, Smarter AI Image Generation
ZigMa, introduced by Björn Ommer’s group at ECCV 24, improves high-res AI image and video generation with fast, memory-efficient zigzag scanning.
13.11.2025
Anne-Laure Boulesteix Among the World’s Most Cited Researchers
MCML PI Anne‑Laure Boulesteix named Highly Cited Researcher 2025 for cross-field work, among 17 LMU scholars recognized globally.
