Artificial intelligence in ophthalmology: The path to the real-world clinic.

Journal: Cell reports. Medicine
Published Date:

Abstract

Artificial intelligence (AI) has great potential to transform healthcare by enhancing the workflow and productivity of clinicians, enabling existing staff to serve more patients, improving patient outcomes, and reducing health disparities. In the field of ophthalmology, AI systems have shown performance comparable with or even better than experienced ophthalmologists in tasks such as diabetic retinopathy detection and grading. However, despite these quite good results, very few AI systems have been deployed in real-world clinical settings, challenging the true value of these systems. This review provides an overview of the current main AI applications in ophthalmology, describes the challenges that need to be overcome prior to clinical implementation of the AI systems, and discusses the strategies that may pave the way to the clinical translation of these systems.

Authors

  • Zhongwen Li
    Ningbo Key Laboratory of Medical Research on Blinding Eye Diseases, Ningbo Eye Institute, Ningbo Eye Hospital, Wenzhou Medical University, Ningbo, China.
  • Lei Wang
    Department of Nursing, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.
  • Xuefang Wu
    Guizhou Provincial People's Hospital, Guizhou University, Guiyang 550002, China.
  • Jiewei Jiang
    School of Computer Science and Technology, Xidian University, No. 2 South Taibai Rd, Xi'an, 710071, China.
  • Wei Qiang
    Ningbo Eye Hospital, Wenzhou Medical University, Ningbo 315000, China.
  • He Xie
  • Hongjian Zhou
    Department of Computer Science, University of Oxford, Oxford, Oxfordshire OX1 2JD, UK.
  • Shanjun Wu
    School of Ophthalmology and Optometry and Eye Hospital, Wenzhou Medical University, Wenzhou, 325027, China.
  • Yi Shao
    Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, National Clinical Research Center for Eye Disease, Shanghai, China.
  • Wei Chen
    Department of Urology, Zigong Fourth People's Hospital, Sichuan, China.