Sabine Brookman‐May

How does artificial intelligence master urological board examinations? A comparative analysis of different Large Language Models’ accuracy and reliability in the 2022 In-Service Assessment of the European Board of Urology

2024 · 29 Zit. · World Journal of Urology

Modification and Validation of the System Causability Scale Using AI-Based Therapeutic Recommendations for Urological Cancer Patients: A Basis for the Development of a Prospective Comparative Study

2024 · 8 Zit. · Current Oncology

Evaluating the Efficacy of AI Chatbots as Tutors in Urology: A Comparative Analysis of Responses to the 2022 In-Service Assessment of the European Board of Urology

2024 · 6 Zit. · Urologia Internationalis

From Algorithms to Insight: The Transformative Power of Artificial Intelligence and Machine Learning in Urological Cancer Research

2025 · 0 Zit. · Current Oncology

Benchmarking Large Language Models Against Multidisciplinary Tumor Boards in Urological Oncology: Results from the Blinded, Prospective CONCORDIA Study

2025 · 0 Zit. · European Urology Oncology

Sequencing AI Automation and Data Interoperability in Oncology: A Scenario-Planning Framework Coupled With Discrete-Event Simulation (Preprint)

2026 · 0 Zit. · Journal of Medical Internet Research