Home  | News

18.08.2025

Teaser image to Digital Twins for Surgery - with researcher Azade Farshad

Digital Twins for Surgery - With Researcher Azade Farshad

Research Film

Azade Farshad, MCML Junior Member and PhD student in the research group of Nassir Navab, researches digital twins of patients at TUM and MCML to improve personalized treatment, surgical planning, and training. Using graph-based analysis and multimodal patient data, she builds models that create realistic surgical simulations — helping surgeons preview procedures, spot potential complications, and optimize strategies.

Think of it like using a detailed, interactive 3D map before a complex road trip — but for surgery.

Watch the video and learn how AI can improve personalized treatment for patients. This video is part of the project KI Trans, an initiative in collaboration with TüftelLab and Uta Hauck-Thum from Ludwig-Maximilians-Universität München, focused on equipping teachers with the essential skills to navigate AI in schools. The project is funded by the Bundesministerium für Forschung, Technologie und Raumfahrt as part of DATIpilot.

Watch in Full Quality on YouTube

 

#blog #research #navab
Subscribe to RSS News feed

Related

Link to Research Stay at Princeton University

01.12.2025

Research Stay at Princeton University

Abdurahman Maarouf spent three months at Princeton with the AI X-Change Program, advancing causal ML and studying short-form video platform effects.

Link to

28.11.2025

MCML at NeurIPS 2025

MCML researchers are represented with 45 papers at NeurIPS 2025 (36 Main, and 9 Workshops).

Link to Seeing the Bigger Picture – One Detail at a Time

27.11.2025

Seeing the Bigger Picture – One Detail at a Time

FLAIR, introduced by Zeynep Akata’s group at CVPR 2025, brings fine-grained, text-guided detail recognition to vision-language models.

Link to Daniel Rückert Among the World’s Most Cited Researchers

25.11.2025

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.

Link to Research Stay at Stanford University

24.11.2025

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.

Back to Top