Comparing Patient’s Confidence in Clinical Capabilities in Urology: Large Language Models Versus Urologists
In this report, we explored how patients feel about using an artificial intelligence (AI)-powered chatbot in a medical setting. Patients interacted with the AI for medical questions and compared its skills with those of doctors through a survey. They appreciated the AI for providing more time during consultations but preferred doctors for other tasks, for example, diagnostics, recommendation of treatments, and reduction of anxieties.
Authors
- Lisa Nguyen (ORCID: https://orcid.org/0000-0002-9272-3980)
- Maurice Stephan Michel (ORCID: https://orcid.org/0000-0001-7424-9085)
- Martin J. Hetz
- Friedrich Otto Hartung (ORCID: https://orcid.org/0000-0003-1112-0705)
- Tim Holland‐Letz (ORCID: https://orcid.org/0000-0003-0348-8163)
- Frederik Wessels (ORCID: https://orcid.org/0000-0003-4213-8692)
- Jakob Nikolas Kather (ORCID: https://orcid.org/0000-0002-3730-5348)
- Sarah Haggenmüller (ORCID: https://orcid.org/0000-0002-7961-1781)
- Titus Josef Brinker (ORCID: https://orcid.org/0000-0002-3620-5919)
- Britta Gruene
- Jonathan Winterstein
- Nicolas Carl
Institutions
- German Cancer Research Center (DE)
- Heidelberg University (DE)
- University Hospital Heidelberg (DE)
- University Medical Centre Mannheim (DE)
Publication Details
- Journal
- European Urology Open Science
- Published
- 2024-10-23
- DOI
- https://doi.org/10.1016/j.euros.2024.10.009
- Citations
- 11
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 1.32