Hasan Alam from the Interactive Machine Learning (IML) Department at DFKI presented our paper, “Towards Interpretable Radiology Report Generation via Concept Bottlenecks using a Multi-Agentic RAG”, at the 47th European Conference on Information Retrieval (ECIR 2025), held from April 6–10, 2025 in Lucca, Italy. ECIR is one of the premier Read more…
In the most recent issue of DFKI News, IML is prominently represented with three articles, namely Explainable AI in Medicine and the projects Ophthalmo-AI and pAItient.
Explainable AI (XAI) has demonstrated its potential in deciphering discriminatory features in machine learning (ML) decision-making processes. Specifically, XAI’s feature attribution methods shed light on individual decisions made by ML models. However, despite their visual appeal, these attributions can be unfaithful. To ensure the faithfulness of feature attributions, it is Read more…
Medical image analysis encompasses two crucial research areas: disease grading and fine-grained lesion segmentation. Although disease grading often relies on fine-grained lesion segmentation, they are usually studied separately. Disease severity grading can be approached as a classification problem, utilizing image-level annotations to determine the severity of a medical condition. On Read more…
Siting Liang and Ilira Troshani from the IML department participated in the „Spring School on ‘Knowledge Infusion and Extraction for Explainable Medical Artificial Intelligence“ that was held from 28 February to 2 March 2022 in Günzburg. It was targeted at master and early PhD students in the field of artificial intelligence Read more…