Development and evaluation of multimodal AI for diagnosis and triage of ophthalmic diseases using ChatGPT and anterior segment images: protocol for a two-stage cross-sectional study

Development and evaluation of multimodal AI for diagnosis and triage of ophthalmic diseases using ChatGPT and anterior segment images: protocol for a two-stage cross-sectional study

IntroductionArtificial intelligence (AI) technology has made rapid progress for disease diagnosis and triage. In the field of ophthalmic diseases, image-based diagnosis has achieved high accuracy but still encounters limitations due to the lack of medical history. The emergence of ChatGPT enables hu...

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Bibliographic Details
Main Authors: Zhiyu Peng, Ruiqi Ma, Yihan Zhang, Mingxu Yan, Jie Lu, Qian Cheng, Jingjing Liao, Yunqiu Zhang, Jinghan Wang, Yue Zhao, Jiang Zhu, Bing Qin, Qin Jiang, Fei Shi, Jiang Qian, Xinjian Chen, Chen Zhao
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-12-01
Series:Frontiers in Artificial Intelligence
Subjects:
multimodal AI
ophthalmic diseases
ChatGPT
anterior segment images
cross-sectional study
protocol
Online Access:https://www.frontiersin.org/articles/10.3389/frai.2023.1323924/full

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