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Superhuman performance in urology board questions by an explainable large language model enabled for context integration of the European Association of Urology guidelines: the UroBot study

Superhuman performance in urology board questions by an explainable large language model enabled for context integration of the European Association of Urology guidelines: the UroBot study

Martin J. Hetz
Nicolas Carl
Sarah Haggenmüller
Christoph Wies
Maurice Stephan Michel
Frederik Wessels
T. Brinker
    ELM
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Papers citing "Superhuman performance in urology board questions by an explainable large language model enabled for context integration of the European Association of Urology guidelines: the UroBot study"

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Title
Capabilities of GPT-4 on Medical Challenge Problems
Capabilities of GPT-4 on Medical Challenge Problems
Harsha Nori
Nicholas King
S. McKinney
Dean Carignan
Eric Horvitz
LM&MA
ELM
AI4MH
91
793
0
20 Mar 2023

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