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European Association of Urology

834 Arbeiten65.736 Zitationen
Land: NLTyp: nonprofit

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Meistzitierte Publikationen im Bereich Gesundheit & MedTech

Using artificial intelligence to create diverse and inclusive medical case vignettes for education

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Generative artificial intelligence in surgery

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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

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Juan Gómez Rivas, Camacho Vázquez, Cristina Ballesteros Ruiz et al.

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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.

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Artificial intelligence and simulation in urology

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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.

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ChatGPT in Clinical Medicine, Urology and Academia: A Review

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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.