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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

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.

Befundung von digitalen Intensiv- bzw. Bettlungenaufnahmen am Monitor vs. Hardcopy: eine klinische ROC-Studie

Gerald Pärtan, H. Mosser, A. Tekusch et al.

1994 · 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.

ARTIFICIAL INTELLIGENCE TO INTERPRET MAMMOGRAMS- ARE WE THERE YET?

Dinesh Sethi, Namrita Sachdev, Yashvant Singh

2020 · 0 Zit.

Künstliche Intelligenz in chirurgischen Disziplinen: Einsatz, Nutzen und Potenzial – ein Delphi-Expertenkonsensus

G. Duwe, Kerstin Moench, Verena Kauth et al.

2026 · 0 Zit.