Diagnostic capabilities of ChatGPT in ophthalmology
Author:
Publisher
Springer Science and Business Media LLC
Subject
Cellular and Molecular Neuroscience,Sensory Systems,Ophthalmology
Link
https://link.springer.com/content/pdf/10.1007/s00417-023-06363-z.pdf
Reference24 articles.
1. Briganti G, Le Moine O (2020) Artificial intelligence in medicine: today and tomorrow. Front Med (Lausanne) 7:1–6. https://doi.org/10.3389/fmed.2020.00027
2. Kulkarni S, Seneviratne N, Baig MS, Khan AHA (2020) Artificial intelligence in medicine: Where are we now? Acad Radiol 27:62–70. https://doi.org/10.1016/J.ACRA.2019.10.001
3. Tekkeşin Aİ (2019) Artificial intelligence in healthcare: past, present and future. Anatol J Cardiol 22:8–9. https://doi.org/10.14744/AnatolJCardiol.2019.28661
4. Benet D, Pellicer-Valero OJ (2022) Artificial intelligence: the unstoppable revolution in ophthalmology. Surv Ophthalmol 67:252–270. https://doi.org/10.1016/J.SURVOPHTHAL.2021.03.003
5. Ting DSW, Pasquale LR, Peng L et al (2019) Artificial intelligence and deep learning in ophthalmology. Br J Ophthalmol 103:167–175. https://doi.org/10.1136/BJOPHTHALMOL-2018-313173
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