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A Multimodal Pipeline for Clinical Data Extraction: Applying Vision-Language Models to Scans of Transfusion Reaction Reports

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Henning Schäfer, Cynthia S. Schmidt, Johannes Wutzkowsky, Kamil Lorek, Johannes Rückert, Christian Temme, Peter A. Horn
Publishment
- 2025
Purpose of publication
Research
Organizational unit
- IDiAL
- Computer science
Subjects
- Applied computer science
- General medicine
Research structures
- Medical Informatics (MI)
Research fields
- Information systems
- Artificial intelligence and big data
- Life and well-being - General

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H. Schäfer et al., “A Multimodal Pipeline for Clinical Data Extraction: Applying Vision-Language Models to Scans of Transfusion Reaction Reports,” in the 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Piscataway, NJ: IEEE, 2025. doi: 10.1109/embc58623.2025.11254237

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ReMeDi:Blood

DOI 10.1109/embc58623.2025.11254237

Fachhochschule Dortmund - Study, study programs, application

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A Multimodal Pipeline for Clinical Data Extraction: Applying Vision-Language Models to Scans of Transfusion Reaction Reports

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