Sarah Haggenmüller

Large language model use in clinical oncology

2024 · 57 Zit. · npj Precision Oncology

Superhuman performance on urology board questions using an explainable language model enhanced with European Association of Urology guidelines

2024 · 17 Zit. · ESMO Real World Data and Digital Oncology

Comparing Patient’s Confidence in Clinical Capabilities in Urology: Large Language Models Versus Urologists

2024 · 13 Zit. · European Urology Open Science

Evaluating interactions of patients with large language models for medical information

2025 · 12 Zit. · British Journal of Urology

Pathologist-like explainable AI for interpretable Gleason grading in prostate cancer

2025 · 5 Zit. · Nature Communications

Human-centered AI as a framework guiding the development of image-based diagnostic tools in oncology: a systematic review

2024 · 3 Zit. · ESMO Real World Data and Digital Oncology

Patient insights into empathy, compassion and self-disclosure in medical large language models: results from the IPALLM III study

2025 · 2 Zit. · World Journal of Urology

Enhancing clinicians’ trust in large language models via transparent source attribution: A randomized controlled evaluation in uro-oncology

2025 · 1 Zit. · European Journal of Cancer

Prospective Evidence on Artificial Intelligence−Assisted Melanoma Diagnostics

2026 · 0 Zit. · JAMA Dermatology