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Artificial Intelligence in Medicine|March 3, 2023
Automatic knowledge graph population with model-complete text comprehension for pre-clinical outcomes in the field of spinal cord injuryHendrik Ter Horst, Nicole Brazda, Jessica Schira-Heinen, et al.
Frontiers in Robotics and AI|November 14, 2025
Everything robots need to know about cooking actions: creating actionable knowledge graphs to support robotic meal preparationMichaela Kümpel, Manuel Scheibl, Jan-Philipp Töberg, et al.
JMIR Cancer|April 30, 2026
Extracting Quality of Life Information of Patients Diagnosed With Breast Cancer From Health Care Online Forum Posts: Data Feasibility StudyDavid Maria Schmidt, Raoul Schubert, Brian Po-Han Chen, et al.
JMIR Medical Informatics|April 14, 2025
Summarizing Online Patient Conversations Using Generative Language Models: Experimental and Comparative StudyRakhi Asokkumar Subjagouri Nair, Matthias Hartung, Philipp Heinisch, et al.
Artificial Intelligence in Medicine|September 15, 2024
Integrating federated learning for improved counterfactual explanations in clinical decision support systems for sepsis therapyChristoph Düsing, Philipp Cimiano, Sebastian Rehberg, et al.
Frontiers in Medicine|February 16, 2026
Best practices for the collection and analysis of patient experience data from social media for patient-focused drug developmentPhilipp Cimiano, Nicole Brazda, Matthias Hartung, et al.
JMIR Human Factors|March 4, 2025
An AI-Based Clinical Decision Support System for Antibiotic Therapy in Sepsis (KINBIOTICS): Use Case AnalysisJuliane Andrea Düvel, David Lampe, Maren Kirchner, et al.
Frontiers in Medicine|March 22, 2024
Patient listening on social media for patient-focused drug development: a synthesis of considerations from patients, industry and regulatorsPhilipp Cimiano, Ben Collins, Maria Carmela De Vuono, et al.
JMIR Medical Informatics|May 13, 2026
Development Process of a Clinical Decision Support System for Empiric Antibiotic Therapies in Patients With Sepsis: Case StudySophie Schmiegel, Hannah Marchi, Philipp Hege, et al.
Physics in Medicine and Biology|October 19, 2006
Spatiotemporal noise covariance estimation from limited empirical magnetoencephalographic dataSung C Jun, Sergey M Plis, Doug M Ranken, et al.
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