Skip to content

Author

D. Amparore

We have 2 of 106 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Sep 2026

Development and internal validation of machine-learning models to predict adverse pathological features in upper tract urothelial carcinoma.

BACKGROUND Accurate preoperative staging and identification of adverse pathological features in upper tract urothelial carcinoma (UTUC) remain contemporary challenges. We aimed to develop and internally validate machine-learning (ML) models to predict muscle-invasive (≥pT2) and lymph node positive (pN+) disease using p...

Philipp Korn, Maximilian Pallauf, S. Lokeshwar et al. · 0 citations
Review Aug 2026

Accuracy, Completeness, and Clarity of an AI-Based Chatbot for the EAU Neuro-Urology Guidelines.

The EAU Guidelines Bot showed excellent accuracy, completeness, and clarity when applied to neuro-urology guideline-based questions, and was comparable to that of ChatGPT 5.5, with both systems providing highly accurate guideline-concordant responses.

S. De Cillis, Riccardo Lombardo, D. Amparore et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.