Performance of ChatGPT in Ophthalmic Registration and Clinical Diagnosis: Cross-Sectional Study.

Journal: Journal of medical Internet research
Published Date: Nov 14, 2024

Abstract

BACKGROUND: Artificial intelligence (AI) chatbots such as ChatGPT are expected to impact vision health care significantly. Their potential to optimize the consultation process and diagnostic capabilities across range of ophthalmic subspecialties have yet to be fully explored.

Authors

  • Shuai Ming
    Department of Radiology, Zhejiang Provincial People's Hospital, Affiliated People's Hospital of Hangzhou Medical College, Hangzhou, 310013, China.
  • Xi Yao
    Department of Ophthalmology, Henan Eye Institute, Henan Eye Hospital, Henan Provincial People's Hospital, Zhengzhou, China.
  • Xiaohong Guo
    Department of Ophthalmology, Henan Eye Institute, Henan Eye Hospital, Henan Provincial People's Hospital, Zhengzhou, China.
  • Qingge Guo
    Department of Ophthalmology, Henan Eye Institute, Henan Eye Hospital, Henan Provincial People's Hospital, Zhengzhou, China.
  • Kunpeng Xie
    Department of Oral and Maxillofacial Surgery, University Hospital RWTH Aachen, Pauwelsstr. 30, 52074 Aachen, Germany; Institute of Medical Informatics, University Hospital RWTH Aachen, Pauwelsstr. 30, 52074 Aachen, Germany; Center for Integrated Oncology Aachen Bonn Cologne Düsseldorf (CIO ABCD), Pauwelsstraße 30, 52074 Aachen, Germany.
  • Dandan Chen
    College of Electronic Engineering, Guangxi Normal University, Guilin, Guangxi, China. Electronic address: chenddan0912@163.com.
  • Bo Lei
    Lawrence Livermore National Laboratory, Livermore, CA, United States.

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