Large language model-based multimodal system for detecting and grading ocular surface diseases from smartphone images.

Journal: Frontiers in cell and developmental biology
Published Date: May 23, 2025

Abstract

BACKGROUND: The development of medical artificial intelligence (AI) models is primarily driven by the need to address healthcare resource scarcity, particularly in underserved regions. Proposing an affordable, accessible, interpretable, and automated AI system for non-clinical settings is crucial to expanding access to quality healthcare.

Authors

  • Zhongwen Li
    Ningbo Key Laboratory of Medical Research on Blinding Eye Diseases, Ningbo Eye Institute, Ningbo Eye Hospital, Wenzhou Medical University, Ningbo, China.
  • Zhouqian Wang
    Ningbo Key Laboratory of Medical Research on Blinding Eye Diseases, Ningbo Eye Institute, Ningbo Eye Hospital, Wenzhou Medical University, Ningbo, China.
  • Liheng Xiu
    Department of Ophthalmology, West China Second University Hospital, Sichuan University, Chengdu, China.
  • Pengyao Zhang
    Ningbo Key Laboratory of Medical Research on Blinding Eye Diseases, Ningbo Eye Institute, Ningbo Eye Hospital, Wenzhou Medical University, Ningbo, China.
  • Wenfang Wang
    Ningbo Key Laboratory of Medical Research on Blinding Eye Diseases, Ningbo Eye Institute, Ningbo Eye Hospital, Wenzhou Medical University, Ningbo, China.
  • Yangyang Wang
  • Gang Chen
    Department of Orthopedics, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
  • Weihua Yang
    Shenzhen Eye Institute, Shenzhen Eye Hospital, Jinan University, Shenzhen, Guangdong Province, China.
  • Wei Chen
    Department of Urology, Zigong Fourth People's Hospital, Sichuan, China.

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