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.
Gespeichert in:
| Hauptverfasser: | , , , , , , , , , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
September 2025
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| In: |
Obesity surgery
Year: 2025, Jahrgang: 35, Heft: 9, Pages: 3801-3809 |
| ISSN: | 1708-0428 |
| DOI: | 10.1007/s11695-025-08115-w |
| Online-Zugang: | 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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| Verfasserangaben: | 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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