Onze Lieve Vrouwziekenhuis Hospital

Artificial intelligence and robotics: a combination that is changing the operating room

Iulia Andraș, Elio Mazzone, Fijs W. B. van Leeuwen et al.

2019 · 135 Zit.

Generative artificial intelligence in surgery

Severin Rodler, Conner Ganjavi, Pieter De Backer et al.

2024 · 47 Zit.

Multicentric exploration of tool annotation in robotic surgery: lessons learned when starting a surgical artificial intelligence project

Pieter De Backer, Jennifer A. Eckhoff, Jente Simoens et al.

2022 · 29 Zit.

Predicting intra‐operative and postoperative consequential events using machine‐learning techniques in patients undergoing robot‐assisted partial nephrectomy: a Vattikuti Collective Quality Initiative database study

Mahendra Bhandari, Anubhav Reddy Nallabasannagari, Madhu Reddiboina et al.

2020 · 28 Zit.

GPT-4 generates accurate and readable patient education materials aligned with current oncological guidelines: A randomized assessment

Severin Rodler, Francesco Cei, Conner Ganjavi et al.

2025 · 18 Zit.

AI-Enabled ECG Analysis Improves Diagnostic Accuracy and Reduces False STEMI Activations

Robert Herman, Bryn E. Mumma, Jake D. Hoyne et al.

2025 · 12 Zit.

Intraclass correlation metrics for the accuracy of algorithmic definitions in a computerized decision support system for supportive cancer care

Matti Aapro, Ivo Abraham, Karen MacDonald et al.

2007 · 5 Zit.

What More Can We Ask of Robotics?

Peter Wiklund, Silvia Rebuffo, Nicola Frego et al.

2023 · 5 Zit.

Surgeons versus computer vision: a comparative analysis on surgical phase recognition capabilities

Marco Mezzina, Pieter De Backer, Tom Vercauteren et al.

2025 · 3 Zit.

Faculty Opinions recommendation of Artificial intelligence and machine learning in anesthesiology.

Jan F. A. Hendrickx

2019 · 0 Zit.

Deep learning for mortality prediction in patients with a de-novo or worsened heart failure

Robert Herman, Marc Vanderheyden, Boris Vavrik et al.

2021 · 0 Zit.

The data dividend: how AI turns robotic surgery into measurable value. Insight from EAU-YAU Urotechnology and Digital Health Working Group

Pieter De Backer, Severin RODLER, Karl F. KOWALEWSKI et al.

2026 · 0 Zit.

How to use artificial intelligence for complex medical decisions in uro-oncology?. Considerations from the YAU-Urotechnology and Digital Health Working Group

Antonio A. GROSSO, Pieter De Backer, Karl F. KOWALWSKI et al.

2026 · 0 Zit.

Abstract 13836: Unbiased Deep Learning Approach Utilizing Longitudinal Data in Assessing All-Cause Mortality in Patients With a <i>De Novo</i> or Worsened Heart Failure

Robert Herman, Marc Vanderheyden, Boris Vavrik et al.

2021 · 0 Zit.