Artificial intelligence‐based chatbot patient information on common retinal diseases using <scp>ChatGPT</scp>-Reference-Cited by-同舟云学术

Artificial intelligence‐based chatbot patient information on common retinal diseases using ChatGPT

Published:2023-03-13 Issue:7 Volume:101 Page:829-831
ISSN:1755-375X
Container-title:Acta Ophthalmologica
language:en
Short-container-title:Acta Ophthalmologica

Author:

Potapenko Ivan¹^ORCID,Boberg‐Ans Lars Christian¹,Stormly Hansen Michael¹²^ORCID,Klefter Oliver Niels¹²^ORCID,van Dijk Elon H. C.³⁴^ORCID,Subhi Yousif¹⁵^ORCID

Affiliation:

1. Department of Ophthalmology Rigshospitalet Glostrup Denmark

2. Department of Clinical Medicine University of Copenhagen Copenhagen Denmark

3. Department of Ophthalmology Leiden University Medical Centre Leiden The Netherlands

4. Department of Ophthalmology Haga Hospital The Hague The Netherlands

5. Department of Clinical Research University of Southern Denmark Odense Denmark

Publisher

Wiley

Subject

Ophthalmology,General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/aos.15661

Reference5 articles.

1. Direct ophthalmoscopy on YouTube: analysis of instructional YouTube videos’ content and approach to visualization

2. Misunderstandings in prescribing decisions in general practice: qualitative study

3. Trends in prevalence of blindness and distance and near vision impairment over 30 years: an analysis for the Global Burden of Disease Study

4. Hospitals need to customise care according to patients' differing information‐seeking behaviour;Riiskjær E.;Danish Medical Journal,2014

5. Expert Involvement and Adherence to Medical Evidence in Medical Mobile Phone Apps: A Systematic Review

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