European Association of Urology
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Using artificial intelligence to create diverse and inclusive medical case vignettes for education
Michiel J. Bakkum, Mariëlle G. Hartjes, Joost D. Piët et al.
2023 · 51 Zit.
Generative artificial intelligence in surgery
Severin Rodler, Conner Ganjavi, Pieter De Backer et al.
2024 · 43 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.
Inteligencia artificial y simulación en urología
Juan Gómez Rivas, Camacho Vázquez, Cristina Ballesteros Ruiz et al.
2021 · 17 Zit.
Telemedicina y trabajo inteligente: adaptación al español de las recomendaciones de la Asociación Europea de Urología
Juan Gómez Rivas, A. Rodríguez-Serrano, Stacy Loeb et al.
2020 · 14 Zit.
Artificial intelligence and simulation in urology
Juan Gómez Rivas, Camacho Vázquez, Cristina Ballesteros Ruiz et al.
2021 · 12 Zit.
ChatGPT as a Clinical Decision Maker for Urolithiasis: Compliance with the Current European Association of Urology Guidelines
Ali Talyshinskii, Patrick Juliebø‐Jones, B. M. Zeeshan Hameed et al.
2024 · 12 Zit.
ChatGPT in Clinical Medicine, Urology and Academia: A Review
Lazaros Tzelves, Konstantinos Kapriniotis, Georgios Feretzakis et al.
2024 · 10 Zit.
The Intersection of Artificial Intelligence and Social Media in Shaping the New Digital Health Frontier: Powers and Perils
Nikita Bhatt, Esther García‐Rojo, Vineet Gauhar et al.
2023 · 10 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.
Autonomous robots: a new reality in healthcare? A project by European Association of Urology-Young Academic Urologist group
Juan Gómez Rivas, Carlos Toribio‐Vázquez, Mark Taratkin et al.
2020 · 5 Zit.
Comment on "Artificial intelligence to predict oncological outcome directly from hematoxylin and eosin-stained slides in urology: a systematic review"
I. Rivero Belenchón, Enrico Checcucci, Juan Gómez Rivas et al.
2023 · 3 Zit.
Reporting guidelines for studies involving generative artificial intelligence applications: what do I use, and when?
Bright Huo, Gary S. Collins, Giovanni Cacciamani et al.
2025 · 2 Zit.
Demystifying machine learning in endourology – understanding models, applications, and clinical impact: a review from EAU endourology
Chady Ghnatios, Rose Mary Attieh, Frédéric Panthier
2025 · 1 Zit.
917P OPTIMA: Improve care for patients with prostate, breast, and lung cancer through artificial intelligence
James N’Dow, Emma Jane Smith, K. Polychronopoulos et al.
2022 · 1 Zit.