Barmherzige Brüder Klinikum St. Elisabeth in Straubing

Machine learning based prediction of perioperative blood loss in orthognathic surgery

Raphael Stehrer, Lukas Hingsammer, Christoph Staudigl et al.

2019 · 47 Zit.

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

Lisa Kollitsch, Klaus Eredics, Martin Marszalek et al.

2024 · 28 Zit.

Would Uro_Chat, a Newly Developed Generative Artificial Intelligence Large Language Model, Have Successfully Passed the In-Service Assessment Questions of the European Board of Urology in 2022?

Matthias May, Katharina Körner-Riffard, Martin Marszalek et al.

2023 · 9 Zit.

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

Emily Rinderknecht, Dominik von Winning, Anton Kravchuk et al.

2024 · 8 Zit.

Leveraging Large Language Models for High-Quality Lay Summaries: Efficacy of ChatGPT-4 with Custom Prompts in a Consecutive Series of Prostate Cancer Manuscripts

Emily Rinderknecht, Anna Schmelzer, Anton Kravchuk et al.

2025 · 6 Zit.

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

Matthias May, Katharina Körner-Riffard, Lisa Kollitsch et al.

2024 · 6 Zit.

Can ChatGPT Realistically and Reproducibly Assess the Difficulty Level of Written Questions in the In-Service Assessment of the European Board of Urology? [Urology, 2023 Jul;177:29-33. doi: 10.1016/j.urology.2023.05.010]

Matthias May, Katharina Körner-Riffard, Lisa Kollitsch

2023 · 2 Zit.

Using ChatGPT-4 for Lay Summarization in Prostate Cancer Research to Advance Patient-Centered Communication: Large-Scale Generative AI Performance Evaluation

Emily Rinderknecht, Simon Engelmann, Veronika Saberi et al.

2025 · 1 Zit.

Prostatakarzinomforschung verständlich gemacht: ChatGPT-4 als Werkzeug zur Verbesserung der Laienkommunikation

Maximilian Haas, Veronika Saberi, Christopher Goßler et al.

2025 · 0 Zit.

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

Matthias May, Sabine Brookman‐May, Emily Rinderknecht

2025 · 0 Zit.

End-to-End Reliability of Automated Systems for Diagnostic Data Extraction: A Benchmark Study in Uro-Oncologic Evidence Synthesis

Matthias May, Julio Garzaro, Anton Kravchuk et al.

2025 · 0 Zit.

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

Emily Rinderknecht, Maximilian Haas, Marco J. Schnabel et al.

2025 · 0 Zit.