Accuracy of Vitreoretinal Disease Information from an Artificial Intelligence Chatbot

Jonathan T. Caranfa; Nikhil K. Bommakanti; Benjamin K. Young; Peter Y. Zhao

doi:10.1001/jamaophthalmol.2023.3314

Accuracy of Vitreoretinal Disease Information from an Artificial Intelligence Chatbot

Jonathan T. Caranfa, Nikhil K. Bommakanti, Benjamin K. Young, Peter Y. Zhao

Ophthalmology

Research output: Contribution to journal › Letter › peer-review

8 Scopus citations

Original language	English (US)
Pages (from-to)	906-907
Number of pages	2
Journal	JAMA ophthalmology
Volume	141
Issue number	9
DOIs	https://doi.org/10.1001/jamaophthalmol.2023.3314
State	Published - Sep 21 2023

ASJC Scopus subject areas

Ophthalmology

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10.1001/jamaophthalmol.2023.3314

Cite this

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title = "Accuracy of Vitreoretinal Disease Information from an Artificial Intelligence Chatbot",

author = "Caranfa, {Jonathan T.} and Bommakanti, {Nikhil K.} and Young, {Benjamin K.} and Zhao, {Peter Y.}",

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AU - Caranfa, Jonathan T.

AU - Bommakanti, Nikhil K.

AU - Young, Benjamin K.

AU - Zhao, Peter Y.

PY - 2023/9/21

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M3 - Letter

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AN - SCOPUS:85171900192

SN - 2168-6165

VL - 141

SP - 906

EP - 907

JO - JAMA ophthalmology

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Accuracy of Vitreoretinal Disease Information from an Artificial Intelligence Chatbot

ASJC Scopus subject areas

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