Kantonsspital Winterthur

Applications of Machine Learning in Palliative Care: A Systematic Review

Erwin Vu, Nina Steinmann, Christina Schröder et al.

2023 · 37 Zit.

Human-AI teaming: leveraging transactive memory and speaking up for enhanced team effectiveness

Nadine Bienefeld, Michaela Kolbe, Giovanni Camen et al.

2023 · 19 Zit.

The Next Frontier in Sarcoma Care: Digital Health, AI, and the Quest for Precision Medicine

Bruno Fuchs, Gabriela Studer, Beata Bode‐Lesniewska et al.

2023 · 16 Zit.

Leveraging Advances in Artificial Intelligence to Improve the Quality and Timing of Palliative Care

Paul Windisch, Caroline Hertler, David Blum et al.

2020 · 16 Zit.

CIRSE Position Paper on Artificial Intelligence in Interventional Radiology

Arash Najafi, Roberto Luigi Cazzato, Bernhard Meyer et al.

2023 · 12 Zit.

From Data Integration to Precision Medicine: A Value-Based Healthcare Approach for Sarcoma Care

Bruno Fuchs, Philip Heesen

2024 · 7 Zit.

Real-World-Time Data and RCT Synergy: Advancing Personalized Medicine and Sarcoma Care through Digital Innovation

Philip Heesen, Georg Schelling, Mirko Birbaumer et al.

2024 · 7 Zit.

Comparative Evaluation of a Medical Large Language Model in Answering Real-World Radiation Oncology Questions: Multicenter Observational Study

Fabio Dennstädt, Max Schmerder, Elena Riggenbach et al.

2025 · 4 Zit.

Predicting the sample size of randomized controlled trials using natural language processing

Paul Windisch, Fabio Dennstädt, Carole Koechli et al.

2024 · 2 Zit.

Large Language Models for Supporting Clear Writing and Detecting Spin in Randomized Controlled Trials in Oncology: Comparative Analysis of GPT Models and Prompts

Carole Koechli, Fabio Dennstädt, Christina Schröder et al.

2026 · 1 Zit.

Reasoning Models for Text Mining in Oncology: A Comparison Between o1 Preview, GPT-4o, and GPT-5 at Different Reasoning Levels

Paul Windisch, Fabio Dennstädt, Julia Weyrich et al.

2025 · 1 Zit.

Data-Driven Defragmentation: Achieving Value-Based Sarcoma and Rare Cancer Care Through Integrated Care Pathway Mapping

Bruno Fuchs, Philip Heesen

2025 · 1 Zit.

Do Large Language Models Read or Remember? Analyzing LLM Performance in Biomedical Text Mining With Progressive Content Removal and Counterfactual Results

Paul Windisch, Carole Koechli, Fabio Dennstaedt et al.

2026 · 0 Zit.

Show Your Work: Verbatim Evidence Requirements and Automated Assessment for Large Language Models in Biomedical Text Processing

Paul Windisch, Julia Weyrich, Fabio Dennstaedt et al.

2026 · 0 Zit.

A comprehensive multifaceted technical evaluation framework for implementation of auto-segmentation models in radiotherapy

Robert Poel, Elias Rüfenacht, Stefan Scheib et al.

2025 · 0 Zit.