AI-Assisted Healthcare


 We are an interdisciplinary team of radiologists, computer scientists, and researchers who work closely together to develop AI       solutions with a strong focus on clinical applicability.

 Our research focuses on two main areas: image-based AI algorithms and text-based AI algorithms. In the area of image-based AI,   we develop deep learning models for tasks such as segmentation, detection, and classification of pathologies on various medical   imaging modalities.

 In the area of text-based AI, we explore the potential of large language models for question answering, information extraction, text   summarization, and workflow optimization in radiology.

 We are committed to open science and reproducibility. We aim to make our datasets, code, and trained models publicly available   whenever possible to foster collaboration and accelerate progress in the field.

You can also find us at Team – AIAH Lab (ai-assisted-healthcare.com)(link is external).

Computer scientists
  • Anirudh Balaraman, MSc.
  • Hartmut Häntze, MSc.
  • Friedrich Puttkammer, MSc.
  • Andrei Zhukov, MSc.


Research associates
  • Fares Al Mohamad, MD
  • Felix Busch
  • Felix Dorfner
  • Lena Hoffmann
  • Dr. Lina Xu, MD


Doctoral students
  • Leonhard Donle, MSc.
  • Falko Köhn
  • Maximilian Rattunde, MD

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