Skip to main content Skip to main navigation

Dr. Roland Roller


Tomohiro Nishiyama; Lisa Raithel; Roland Roller; Pierre Zweigenbaum; Eiji Aramaki

In: Proceedings of CALD-Pseudo at EACL 2024. Conference of the European Chapter of the Association for Computational Linguistics (EACL-2024), March 17-22, St. Julians, Malta, ACL, 2024.

To the publication

Bilgin Osmanodja; Zeineb Sassi; Sascha Eickmann; Carla Maria Hansen; Roland Roller; Aljoscha Burchardt; David Samhammer; Peter Dabrock; Sebastian Möller; Klemens Budde; Anne Herrmann

In: JMIR Research Protocols, Vol. 13, No. 1, Pages 1-5, JMIR Publications Inc., Toronto, Canada, 2024.

To the publication

Sharlyn ST Ng; Robert Oehring; Nikitha Ramasetti; Roland Roller; Philippe Thomas; Yuxuan Chen; Simon Moosburner; Axel Winter; Max-Magnus Maurer; Timo A Auer; Can Kamali; Johann Pratschke; Christian Benzing; Felix Krenzien

In: Trials, Vol. 24, 577 (2023), No. 1, Pages 1-10, Springer, 9/2023.

To the publication


  • SmartNTX

    Interaktive KI-basierte Entscheidungskomptentenz für die Transplantationsmedizin

    The chances of success of a transplant have steadily improved thanks to medical progress; this also applies to the kidney, the most frequently transplanted organ in Germany. Nevertheless, especially…


    Prospectively investigating the impact of AI on shared decision making in post-kidney transplant care

    Health care is undergoing a transformation from a paternalistic to a patient-centred approach. Medical decision-making is therefore a collaborative process between patients, their relatives and…

  • adBoard

    Therapeutic Assistance and Decision Algorithms for Hepatobiliary Tumor Boards

    Interdisciplinary tumour conferences with doctors from different disciplines are the key to the best possible diagnosis and therapy of cancer. The information about the patient and the tumour that is…


    AI-based assistance system for triaging in the emergency room

    In emergency rooms, speed is of the essence. According to the regulations on emergency care, emergency staff must assess within ten minutes how urgently patients need to be treated. Especially in…


    Knowledge-Enhanced information Extraction across languages for PHArmacovigilance

    KEEPHA is a trilateral DFG Project, together with partners from France (LIMSI/LISN) and Japan (NAIST, NII, RIKEN). The present project aims to design Artificial Intelligence (AI) methods that…

Show all projects