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The performance of artificial intelligence on a national medical licensing examination: the answers of large language models to text questions : research letter: medicine

Significant advances are being made in the development of large language models (LLM) for use in the field of clinical medicine. LLM are now able to pass major medical exams such as the United States Medical Licensing Examination (USMLE) and two...

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Bibliographic Details
Main Authors: Geißler, Mark Enrik (Author) , Goeben, Merle (Author) , Glasmacher, Kira A. (Author) , Bereuter, Jean-Paul (Author) , Geissler, Rona Berit (Author) , Wiest, Isabella (Author) , Kolbinger, Fiona R. (Author) , Kather, Jakob Nikolas (Author)
Format: Article (Journal)
Language:English
Published: 27 December 2024
In: Deutsches Ärzteblatt
Year: 2024, Volume: 121, Issue: 26, Pages: 888-889
ISSN:1866-0452
DOI:10.3238/arztebl.m2024.0231
Online Access:Verlag, kostenfrei, Volltext: https://doi.org/10.3238/arztebl.m2024.0231
Verlag, kostenfrei, Volltext: https://www.aerzteblatt.de/int/archive/article?id=242258
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Author Notes:Mark Enrik Geissler, Merle Goeben, Kira A. Glasmacher, Jean-Paul Bereuter, Rona Berit Geissler, Isabella C. Wiest, Fiona R. Kolbinger, Jakob Nikolas Kather
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Summary:Significant advances are being made in the development of large language models (LLM) for use in the field of clinical medicine. LLM are now able to pass major medical exams such as the United States Medical Licensing Examination (USMLE) and two...
Item Description:Gesehen am 08.04.2025
Physical Description:Online Resource
ISSN:1866-0452
DOI:10.3238/arztebl.m2024.0231

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