Evaluation of the accuracy and readability of ChatGPT-4 and Google Gemini in providing information on retinal detachment: a multicenter expert comparative study
ChatGPT-4 and Google Gemini effectively address queries about retinal detachment, offering mostly accurate answers with few critical errors, though patients require higher education for comprehension. The implementation of AI tools may contribute to improving medical care by providing accurate and relevant healthcare information quickly.
Authors
- Friederike Schaub (ORCID: https://orcid.org/0000-0003-2648-1626)
- Alicja Strzalkowska (ORCID: https://orcid.org/0000-0001-5536-5849)
- Gerd Geerling
- C. Reiter
- Alexander Karl-Georg Schuster (ORCID: https://orcid.org/0000-0002-6304-3599)
- Rainer Guthoff
- Piotr Strzalkowski (ORCID: https://orcid.org/0000-0003-2063-5743)
- Mathias Roth (ORCID: https://orcid.org/0000-0003-1993-1289)
- Kristina Pfau (ORCID: https://orcid.org/0000-0002-3642-3502)
- Jay Kumar Chhablani (ORCID: https://orcid.org/0000-0003-1772-3558)
- Nikolaos Emmanouel Bechrakis (ORCID: https://orcid.org/0000-0002-0180-1112)
- Hans Hoerauf
- Marie-Hélène Errera
Institutions
- Johannes Gutenberg University Mainz (DE)
- University Hospital of Basel (CH)
- Düsseldorf University Hospital (DE)
- University Medical Center of the Johannes Gutenberg University Mainz (DE)
- Universitätsmedizin Göttingen (DE)
- Essen University Hospital (DE)
- University of Pittsburgh Medical Center (US)
- Heinrich Heine University Düsseldorf (DE)
- University of Rostock (DE)
Publication Details
- Journal
- International Journal of Retina and Vitreous
- Published
- 2024-09-02
- DOI
- https://doi.org/10.1186/s40942-024-00579-9
- Citations
- 26
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 3.13