215 citations
- RWTH Aachen UniversityDE16 papers
- Technical University of MunichDE6 papers
- Else Kröner Fresenius Center for Digital HealthDE5 papers
- Heidelberg UniversityDE5 papers
- University Hospital HeidelbergDE5 papers
- National Center for Tumor DiseasesDE4 papers
- Charité - Universitätsmedizin BerlinDE3 papers
- Humboldt-Universität zu BerlinDE3 papers
- Imperial College LondonGB3 papers
- TUM KlinikumDE3 papers
- University Hospital Carl Gustav CarusDE3 papers
- Deutsches Herzzentrum MünchenDE2 papers
25 papers
FAIR GraphRAG: A Retrieval-Augmented Generation Approach for Semantic Data Analysis
Marlena Flüh, Soo-Yon Kim, Carolin Victoria Schneider +1
Retrieval-Augmented Generation (RAG) addresses the limitations of Large Language Models (LLMs) when providing responses to domain-specific questions. Graph-based RAG approaches, su…
Understanding Workplace Relatedness Support among Healthcare Professionals: A Four-Layer Model and Implications for Technology Design
Zheyuan Zhang, Dorian Peters, Lan Xiao +4
Healthcare professionals (HCPs) face increasing occupational stress and burnout. Supporting HCPs need for relatedness is fundamental to their psychological wellbeing and resilience…
Effect of Reporting Mode and Clinical Experience on Radiologists' Gaze and Image Analysis Behavior in Chest Radiography
Mahta Khoobi, Marc Sebastian von der Stueck, Felix Barajas Ordonez +11
Structured reporting (SR) and artificial intelligence (AI) may transform how radiologists interact with imaging studies. This prospective study (July to December 2024) evaluated th…
Control-flow anomaly detection by process mining-based feature extraction and dimensionality reduction
Francesco Vitale, Marco Pegoraro, Wil M. P. van der Aalst +1
The business processes of organizations may deviate from normal control flow due to disruptive anomalies, including unknown, skipped, and wrongly-ordered activities. To identify th…
Medical Slice Transformer: Improved Diagnosis and Explainability on 3D Medical Images with DINOv2
Gustav Müller-Franzes, Firas Khader, Robert Siepmann +4
MRI and CT are essential clinical cross-sectional imaging techniques for diagnosing complex conditions. However, large 3D datasets with annotations for deep learning are scarce. Wh…
The need to implement FAIR principles in biomolecular simulations
Rommie Amaro, Johan Åqvist, Ivet Bahar +125
This letter illustrates the opinion of the molecular dynamics (MD) community on the need to adopt a new FAIR paradigm for the use of molecular simulations. It highlights the necess…