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Bots in white coats: are large language models the future of patient education? A multicenter cross-sectional analysis
7
Zitationen
15
Autoren
2025
Jahr
Abstract
This study underscores GPT-4o's potential to enhance patient education both before and after surgery by delivering accurate and relevant responses to FAQs about various surgical procedures. Responses regarding the postoperative course proved to be more accurate and less harmful than those addressing preoperative ones. Although a few responses carried moderate risks, the overall performance was robust, indicating GPT-4o's value in patient education. The study suggests the development of hospital-specific applications or the integration of GPT-4o into interactive robotic systems to provide patients with reliable, immediate answers, thereby improving patient satisfaction and informed decision-making.
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Autoren
Institutionen
- Ludwig-Maximilians-Universität München(DE)
- Centro di Riferimento Oncologico(IT)
- Istituti di Ricovero e Cura a Carattere Scientifico(IT)
- Universitätsmedizin Göttingen(DE)
- University of Cologne(DE)
- Friedrich-Alexander-Universität Erlangen-Nürnberg(DE)
- Heidelberg University(DE)
- University Hospital Heidelberg(DE)
- German Cancer Research Center(DE)
- University Medical Centre Mannheim(DE)
- Mayo Clinic(US)
- WinnMed(US)