Semantic Scholar Open Access 2023 146 sitasi

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

Zhongwen Li Lei Wang Xuefang Wu Jiewei Jiang Wei Qiang +5 lainnya

Abstrak

Summary 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.

Topik & Kata Kunci

Penulis (10)

Z

Zhongwen Li

L

Lei Wang

X

Xuefang Wu

J

Jiewei Jiang

W

Wei Qiang

H

He Xie

H

Hongjian Zhou

S

Shanjun Wu

Y

Yi Shao

W

Wei Chen

Format Sitasi

Li, Z., Wang, L., Wu, X., Jiang, J., Qiang, W., Xie, H. et al. (2023). Artificial intelligence in ophthalmology: The path to the real-world clinic. https://doi.org/10.1016/j.xcrm.2023.101095

Akses Cepat

Lihat di Sumber doi.org/10.1016/j.xcrm.2023.101095
Informasi Jurnal
Tahun Terbit
2023
Bahasa
en
Total Sitasi
146×
Sumber Database
Semantic Scholar
DOI
10.1016/j.xcrm.2023.101095
Akses
Open Access ✓