The use of artificial intelligence based chat bots in ophthalmology triage
AI-based chat bots can provide relatively accurate and clear responses for addressing common ophthalmological inquiries. ChatGPT surpassed Bard in all measured metrics. While these AI models exhibit promise, further research is indicated to improve their performance and allow them to be used as a reliable medical tool.
Authors
- Sharon Armarnik (ORCID: https://orcid.org/0000-0002-3689-9906)
- Eyal Klang (ORCID: https://orcid.org/0000-0002-4567-3108)
- Elinor Megiddo Barnir (ORCID: https://orcid.org/0000-0002-7048-9329)
- Ruth Huna-Baron (ORCID: https://orcid.org/0000-0002-3750-8153)
- Ofira Zloto (ORCID: https://orcid.org/0000-0002-3548-424X)
- Noa Avni Zauberman
- Gabriel Katz (ORCID: https://orcid.org/0000-0002-7597-6281)
- Vicktoria Vishnevskia Dai (ORCID: https://orcid.org/0000-0001-9203-8097)
- Daniel David (ORCID: https://orcid.org/0000-0003-2354-4564)
- Avner Hostovsky
- Reut Singer
Institutions
- Tel Aviv University (IL)
- Sheba Medical Center (IL)
- Icahn School of Medicine at Mount Sinai (US)
Publication Details
- Journal
- Eye
- Published
- 2024-11-26
- DOI
- https://doi.org/10.1038/s41433-024-03488-1
- Citations
- 4
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.48
Funders
- Tel Aviv University