Hendrik Damm.

I’m a doctoral researcher in the DFG Research Training Group WisPerMed, which studies knowledge- and data-based personalisation of medicine at the point of care. I work at the Department of Computer Science of FH Dortmund and the Institute for Medical Informatics, Biometry and Epidemiology at University Hospital Essen, and I’m pursuing my doctorate (Dr. rer. medic.) at the University of Duisburg-Essen.

My current focus is AI support for clinical guideline development: together with the experts behind the German S3 melanoma guideline, I study whether large language models can act as additional reviewers in literature screening — and how physicians come to trust such systems. Alongside this, I work with colleagues on grounded question answering over health records and on clinical text generation, from discharge summaries to lay-language versions of medical documents.

Since 2024, I have also been part of the organising team of ImageCLEFmedical Caption, an international benchmark for medical image understanding; I led the team in 2025 and 2026. Before my doctorate, I studied medical informatics in Dortmund and worked in data management and data integration at Hannover Medical School and University Hospital Münster.

• DFG Research Training Group 2535 WisPerMedUniversity of Duisburg-Essen
• Department of Computer ScienceUniversity of Applied Sciences and Arts Dortmund
• Institute for Medical Informatics, Biometry and EpidemiologyUniversity Hospital Essen