Author

Tom Strube

Observed name: Strube, Tom

Institution: Fraunhofer Institute for Software and Systems Engineering

Observed institution: Fraunhofer Institute for Software and Systems Engineering

ORCID: 0000-0003-2216-894X

Observed ORCID: 0000-0003-2216-894X

OpenAlex ID: A5017561666

Reliable and Content-specific Support for Keyword Selection through AI and Statistics: Characterising Educational Content with Large Language Models & Agreement Analyses

2024 · Tom Strube, Tom Nowak, et al. · Current Directions in Biomedical Engineering · 2

PDF

Thrilling AI – A novel, signal-based digital biomarker for diagnosing canine heart diseases

2022 · Pinar Bisgin, Tom Strube, et al. · Current Directions in Biomedical Engineering · 2

PDF

Improving AI-Based Canine Heart Disease Diagnosis with Expert-Consensus Auscultation Labeling

2025 · Pinar Bisgin, Tom Strube, et al. · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · 1

PDF

Exploring the Role of AI in Transforming Patient Journeys: Challenges and Opportunities in Surgery Time Prediction

2025 · Lena Hegel, Jasmin Henze, et al. · International Conference on Medical and Health Informatics (ICMHI) · 1

Curriculum Sequencing as a Generalised Travelling Salesperson Problem: A Novel Perspective on Learning Path Generation

2025 · Tom Strube, Mariia Pokotylo, et al. · Lecture notes in computer science · 1

Machine learning-based decision support systems in long-term care: a scoping review protocol of applications and evaluation in nursing practice (Preprint)

2026 · Niklas Tschorn, Maren Keuchel, et al.

Machine learning-based decision support systems in long-term care: a scoping review protocol of applications and evaluation in nursing practice

2026 · Niklas Tschorn, Maren Keuchel, et al.

Methods of Evaluating Large Language Model–Based Health Care Applications Used by Nonprofessionals: Protocol for a Scoping Review

2026 · Maren Keuchel, Pinar Bisgin, et al. · JMIR Research Protocols

Guideline-Aligned Machine Learning for Predicting Ondansetron Administration at the End of Anaesthesia: Explainable Decision Support for PONV Prophylaxis

2026 · Tom Strube, Leoni Weltermann, et al. · Studies in health technology and informatics

Improving Postoperative Outcomes Using Preoperative Patient Education

2026 · Leoni Weltermann, Jonas Weber, et al. · Studies in health technology and informatics

Linking Explainability, Trust, and Use: A Framework for Clinical Decision Support

2026 · Tom Strube, Leoni Weltermann, et al. · Studies in health technology and informatics

Improving Postoperative Outcomes Using Preoperative Patient Education

2026 · Weltermann, Leoni, Weber, Jonas, et al. · Fraunhofer-Publica (Fraunhofer-Gesellschaft)

Linking Explainability, Trust, and Use: A Framework for Clinical Decision Support

2026 · Strube, Tom, Weltermann, Leoni, et al. · Fraunhofer-Publica (Fraunhofer-Gesellschaft)

Guideline-Aligned Machine Learning for Predicting Ondansetron Administration at the End of Anaesthesia: Explainable Decision Support for PONV Prophylaxis

2026 · Strube, Tom, Weltermann, Leoni, et al. · Fraunhofer-Publica (Fraunhofer-Gesellschaft)

Die Rolle der künstlichen Intelligenz im Rahmen der Patientenkommunikation

2025 · Sven Meister, Tom Strube · Springer eBooks

Standardisierter, Souveräner und Vertraulicher Datenaustausch als Erfolgsfaktor für den Einsatz von KI in der Patientenreise

2025 · Lena Hegel, Vera Weirauch, et al. · Springer eBooks

Tool Chain for Deriving Consistent Storage Model Parameters for Optimization Models

2023 · Kristin Wode, Tom Strube, et al. · Energies

PDF

Works count: 17

Citation count: 7

H-index: 2

I10-index: