Prof. Dr. Daniel Roth


Machine Intelligence in Orthopedics

Academic Career and Research Areas

Daniel Roth's (*1985) research focuses on human-machine interfaces for medicine and health. Machine intelligence describes a holistic view of the way humans and machines communicate. A large part of his work deals with AI as well as virtual, mixed, and augmented reality-based technologies. Examples include assistance systems for surgical procedures, systems for the assessment and diagnosis of diseases and disorders, and (robot-assisted) rehabilitation.

In September 2023, Prof. Roth was appointed to the professorship for Machine Intelligence in Orthopedics at TUM and works at the School of Medicine and Health at the Klinikum rechts der Isar.Previously, he was Junior Professor for Human-Centered Computing and Extended Reality at the Department of Artificial Intelligence in Biomedical Engineering at FAU Erlangen-Nuremberg. He studied Media and Imaging Technology at the TH Cologne and subsequently completed his doctorate in computer science at the Julius-Maximilians-Universität Würzburg.


    • Best Demo Honorable Mention Award (1/1) IEEE Virtual Reality and 3D User Interfaces (2021)
    • Best Poster Award (1/1) IEEE International Symposium on Mixed and Augmented Reality (2020)
    • Best Paper Nominee (1/4) IEEE International Conference on Artificial Intelligence & VR (2020)
    • Dissertation Award -Dissertation prize of the Lower Franconian Memorial Foundation for Science and the Julius-Maximilians-University of Würzburg (2020)
    • Best Journal Paper Award (1/1) Transactions on Visualization and Computer Graphics (IEEE VR Special Issue) (2018)

    Demir, K. C., Schieber, H., Weise, T., Roth, D., May, M., Maier, A., & Yang, S. H. (2023). Deep Learning in Surgical Workflow Analysis: A Review of Phase and Step Recognition. IEEE Journal of Biomedical and Health Informatics.


    Martin-Gomez, A., Weiss, J., Keller, A., Eck, U., Roth, D., & Navab, N. (2021). The impact of focus and context visualization techniques on depth perception in optical see-through head-mounted displays. IEEE Transactions on Visualization and Computer Graphics, 28(12), 4156-4171.


    Roth, D., & Latoschik, M. E. (2020). Construction of the virtual embodiment questionnaire (VEQ) IEEE Transactions on Visualization and Computer Graphics, 26(12), 3546-3556.


    Waltemate, T., Gall, D., Roth, D., Botsch, M., & Latoschik, M. E. (2018). The impact of avatar personalization and immersion on virtual body ownership, presence, and emotional response. IEEE Transactions on Visualization and Computer Graphics, 24(4), 1643-1652.


    Roth, D., Kleinbeck, C., Feigl, T., Mutschler, C., & Latoschik, M. E. (2018) Beyond replication: Augmenting social behaviors in multi-user virtual realities. In 2018 IEEE Conference on Virtual Reality and 3D User Interfaces (VR) (pp. 215-222). IEEE.