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 on human-centred Exosuit technology highlighted in Börsen-Zeitung

03.11.2025

Research on Human-Centred Exosuit Technology Highlighted in Börsen-Zeitung

Julian Rodemann worked with Harvard on interpretable algorithms for “Back Exosuits,” improving human–machine interaction.

Link to

02.11.2025

MCML at EMNLP 2025

MCML researchers are represented with 37 papers at EMNLP 2025 (17 Main, 13 Findings, and 7 Workshops).

Link to Language Shapes Gender Bias in AI Images

30.10.2025

Language Shapes Gender Bias in AI Images

Alexander Fraser shows AI image generators reproduce gender stereotypes differently across languages, highlighting the need for fair multilingual AI.

Link to Barbara Plank Featured on ARD

26.10.2025

Barbara Plank Featured on ARD

MCML PI Barbara Plank featured on ARD, highlighting AI challenges in understanding regional dialects.

Link to Unai Fischer-Abaigar Featured on Executive Code

26.10.2025

Unai Fischer-Abaigar Featured on Executive Code

MCML Junior Member Unai Fischer-Abaigar featured on Executive Code, exploring AI in government resource allocation and public program outcomes.

Back to Top