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Comparative analysis of large language model and physician-generated responses in bariatric patient inquiries: assessing the accuracy and patient satisfaction

Large language models (LLMs) can generate human-like, empathetic responses within seconds. Their potential in terms of comprehensibility, empathy, and completeness to support physician-patient communication in bariatric surgery care needs to be evaluated.

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Bibliographic Details
Main Authors: Vedder, Katharina (Author) , Blank, Susanne (Author) , Wilhelm, Tea (Author) , Fidan, Darick (Author) , Pachkiv, Ihor (Author) , Cao, Han (Author) , Weiß, Christel (Author) , Li, Chengpeng (Author) , Rung-Friebe, Marion (Author) , Reißfelder, Christoph (Author) , Otto, Mirko (Author) , Yang, Cui (Author)
Format: Article (Journal)
Language:English
Published: September 2025
In: Obesity surgery
Year: 2025, Volume: 35, Issue: 9, Pages: 3801-3809
ISSN:1708-0428
DOI:10.1007/s11695-025-08115-w
Online Access:Verlag, kostenfrei, Volltext: https://doi.org/10.1007/s11695-025-08115-w
Verlag, kostenfrei, Volltext: https://link.springer.com/article/10.1007/s11695-025-08115-w
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Author Notes:Katharina Vedder, Susanne Blank, Tea Wilhelm, Darick Fidan, Ihor Pachkiv, Han Cao, Christel Weiß, Chengpeng Li, Marion Rung-Friebe, Christoph Reissfelder, Mirko Otto, Cui Yang
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Summary:Large language models (LLMs) can generate human-like, empathetic responses within seconds. Their potential in terms of comprehensibility, empathy, and completeness to support physician-patient communication in bariatric surgery care needs to be evaluated.
Item Description:Online veröffentlicht: 1. August 2025; Artikelversion: 1. August 2025
Gesehen am 19.11.2025
Physical Description:Online Resource
ISSN:1708-0428
DOI:10.1007/s11695-025-08115-w

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